{"Bibliographic":{"Title":"Differences within and among surface marine datasets","Authors":"","Publication date":"1991","Publisher":""},"Administrative":{"Date created":"08-17-2023","Language":"English","Rights":"CC 0","Size":"0000339144"},"Pages":["QC\n874.3\nD5\n1991\nDifferences Within and Among Surface Marine Datasets\nScott D. Woodruff\nSandra J. Lubker\nRobert G. Quayle\nUwe Radok\nEvelyn D. Doggett\nOctober 1991\nATMOSPHERIC\nAND\nU.S. Department of Commerce\nSECURITY\nNOAA\nNational Oceanic and Atmospheric Administration\nEnvironmental Research Laboratories\nClimate Monitoring and Diagnostics Laboratory\nSS\nClimate Research Division\nGOLDEN\nDEPARTMENT\nOF","QC\n874.3\nD5\n1991\nDifferences Within and Among Surface Marine Datasets\nScott D. Woodruff\nNOAA/ERL Climate Monitoring and Diagnostics Laboratory\nClimate Research Division\nSandra J. Lubker\nUniversity of Colorado/NOAA\nCooperative Institute for Research in Environmental Sciences\nRobert G. Quayle\nNOAA/National Environmental Satellite, Data, and\nInformation Service, National Climatic Data Center\nUwe Radok\nUniversity of Colorado/NOAA\nCooperative Institute for Research in Environmental Sciences\nEvelyn D. Doggett\nNOAA/ERL Climate Monitoring and Diagnostics Laboratory\nClimate Research Division\nOctober 1991\nLIBRARY\nFEB 2 8 1992\nU.S. Dept. of Commerce\nOF\nCOMMUNITY\nU.S. Department of Commerce\nNational Oceanic and Atmospheric Administration\nEnvironmental Research Laboratories\n*\nClimate Monitoring and Diagnostics Laboratory\nWITH\nAvenue\nClimate Research Division\nSTATES\nBoulder, Colorado\nOF","NOTICE\nMention of a commercial product does not constitute an endorsement by NOAA/ERL. Use\nfor publicity or advertising purposes, of information from this publication concerning\nproprietary products or the tests of such products, is not authorized.\nFor sale by the National Technical Information Service, 5285 Port Royal Road\nSpringfield. VA 22161\nii","Contents\nAbstract\n1\n1. Introduction\n2\n2. Processing\n6\na) Conversions into TD-1129 format\nb) Platform grouping\nc) Conversion into Compressed Marine Reports\nd) Trimming\ne) Duplicate elimination\nf) Calculation of 2° monthly summaries\n3. Comparisons of 2° monthly summaries\n9\na) Meridional profiles and global values\nb) Global maps\n4. Discussion\n10\na) General considerations\nb) Comparisons within NMC data\ni) Effects of trimming\nii) Platform and diurnal temperature differences\niii) Platform and diurnal pressure differences\niv) Platform and diurnal wind differences\nv) Diurnal differences in ship observations of cloudiness and humidity\nc) Comparisons among NMC, FNOC, Autodin, and GWC data\n5. Recommendations\n15\na) Retention and upgrades\nb) Platform information\nc) Continuing comparisons of real-time data\nd) Ramifications for COADS Release 2\ne) Validation of historical marine decks\nAcknowledgments\n18\nReferences\n19\nTables\n23\n1. Platform grouping\n2. Duplicate elimination error rates\n3. Duplicate elimination methods\n4. Numbers of reports per hour\n5. Dataset overlap comparisons\n6. Representation of wind data and indicators\nFigures\n30\n1. Trimming performance (after duplicate elimination)\n2. Duplicate elimination\n3. Global differences: NMC trimmed minus untrimmed\n4. Global differences: NMC ships minus other platforms\n5. Global differences: NMC ships minus other platforms (daytime)\n6. Global differences: NMC ships minus other platforms (nighttime)\n7. Number of reports: daytime versus nighttime\n8. Global differences: NMC daytime minus nighttime\n9. Global differences: FNOC minus NMC\niii","Supplement: Anemometer height effects in ship/buoy wind discrepancies?\n43\n(Uwe Radok)\n1. Introduction\n2. Background\n3. A data search for anemometer height effects\n4. Discussion\nTable S1. Mean ship/buoy wind speed ratios, NMC data\nTable S2. Ship/buoy wind speed ratios derived from Earle (1985)\nAppendices\n49\nA. Trimming performance (FNOC/NMC)\nTable A1a/b. December 1986, ships\nTable A2a/b. June 1988, ships\nTable A3a/b. December 1986, moored buoys\nTable A4a/b. June 1988, moored buoys\nTable A5a/b. December 1986, drifting buoys\nTable A6a/b. June 1988, drifting buoys\nTable A7a/b. December 1986, C-MAN\nTable A8a/b. June 1988, C-MAN\n59\nB. Wind code consistency\nTable B1. TD-1129 wind code consistency, December 1986\nTable B2. TD-1129 wind code consistency, June 1988\n63\nC. Duplicate examples\nTable C1. TD-1129 field abbreviations\nTable C2. Comparison of rounded/truncated wind speeds\nTable C3. Reports for call sign WMFW (U.S. ship)\nTable C4. Reports for call sign EMIO (USSR ice drift station)\nTable C5. Reports for call sign C7C (OSV C)\nTable C6. Reports for call sign C7L (OSV L)\nTable C7. Reports for call sign 15502 (drifting buoy)\n77\nD. Meridional profiles and global values\nFigures D1-D16. NMC trimmed minus untrimmed\nFigures D17-D28. NMC ships minus other platforms\nFigures D29-D40. NMC ships minus other platforms (daytime)\nFigures D41-D52. NMC ships minus other platforms (nighttime)\nFigures D53-D68. NMC daytime minus nighttime\nFigures D69-D84. FNOC minus NMC\n163\nE. Global maps\nFigures E1-E4. Ships\nFigures E5-E8. Moored buoys\nFigures E9-E12. Drifting buoys\nFigures E13-E16. C-MAN\niv","F. Dataset overlap checks\n181\n1. Introduction\n2. Checks between NMC and FNOC data\n3. Checks among NMC, FNOC, Autodin, and GWC data\na) Moored buoys\nb) Ships\nc) Miscellaneous (OSV, PLAT, and RIGG)\nd) Drifting buoys\nFigure F1. FNOC/NMC report counts input, duplicate, and output\nTable F1. Dataset overlap comparisons: 3- and 6-hourly\nTable F2. Dataset overlap comparisons: all-hourly\nTable F3. Dataset overlap with call sign sensitivity\nTable F4. Reports from the NOAA fleet\nTable F5. Uniqueness error estimates\nTable F6. Call sign uniqueness: moored buoys\nTable F7. Call sign uniqueness: drifting buoys\nTable F8. Call sign uniqueness: C-MAN\nTable F9. Call sign uniqueness: miscellaneous\nTable F10. Call sign uniqueness: ships\nTable F11. Number of moored buoy reports for 1 December 1986\nTable F12. Number of ship reports for 1 December 1986\nTable F13. Number of OSV reports for 1 December 1986\nTable F14. Number of drifting buoy reports for 1 December 1986\nV","Differences Within and Among Surface Marine Datasets\nAbstract\nComparisons of global real-time surface marine data for December 1986 and June 1988 are\npresented. Three datasets are compared: one obtained from the National Meteorological\nCenter (NOAA/NMC), one from the U.S. Navy Fleet Numerical Oceanography Center\n(FNOC), and a third from U.S. Air Force Global Weather Central (GWC). In addition to\nthe full dataset obtained from NMC, subsets obtained from different observational\nplatforms (ships, moored and drifting buoys, and Coastal-Marine Automated Network (C-\nMAN) stations) and during daytime and nighttime hours are also considered. The data\n(primarily in the form of monthly averages for 2° latitude X 2° longitude boxes) are analyzed\nbefore and following uniform quality control procedures used for the Comprehensive\nOcean-Atmosphere Data Set (COADS), including identification and removal of duplicate\nreports and of statistical outliers (\"trimming\")\nComparisons within the NMC set point to systematic differences, which require further\nstudy, but apparently have been introduced by trimming, platforms, times-of-day, and\nregional climates. In that case, similar differences would also exist in the FNOC and GWC\nsets, and might ultimately be taken into consideration when combining these and other\nsubsets into future COADS products. Examples of such differences found in the NMC set\nare lower wind speeds and higher sea surface temperatures created by trimming; generally\nhigher wind speeds reported from ships than from buoys; and higher than expected\nday/night differences in the air temperature compared with differences in the sea surface\ntemperature. Comparisons among the NMC, FNOC, and GWC data show that their spatial\ncoverage tends to be overlapping rather than identical. However, a firmer comparison is\nimpeded by differences in data formats and reduction procedures that hinder clear-cut\nidentification of duplicates. Format deficiencies may also result in archival data losses.\nImprovements in the NMC, FNOC, and GWC formats are therefore recommended.\nThe following other recommendations are made to ensure archival integrity and to promote\nthe creation of products of sufficient quality and continuity for climate research:\nComparisons of real-time data should continue on a periodic basis.\n1","Instrumentation and related information for ships as well as buoys and other\nplatforms should be archived in digital form by the data centers of the World\nMeteorological Organization.\nThe ramifications of source and day/night differences for the design of COADS\nproducts need to be determined.\nComparisons between historical datasets used for COADS should be undertaken,\nto test for possible biases introduced into 2° box averages by variations in input\nsources, and to better quantify the value of adding delayed-mode to real-time data.\n1. Introduction\nThis report presents comparisons of global \"real-time\" surface marine data for December\n1986 and June 1988. The larger part of the comparisons uses data from NOAA's National\nMeteorological Center (NMC) in Washington, D.C. The remaining comparisons are\nbetween the same NMC data and data from the U.S. Navy Fleet Numerical Oceanography\nCenter (FNOC) in Monterey, California, and from Global Weather Central (GWC) at\nOffutt Air Force Base, Nebraska.\nThe NMC, FNOC, and GWC datasets all include variable amounts of data available on the\nGlobal Telecommunication System (GTS). The NMC dataset consists of surface marine\nreports obtained from GTS as well as data transmitted to NMC by, for example, coastal\nradio stations and the Geostationary Operational Environmental Satellite (GOES) network\n(Gerald, 1988). The FNOC dataset contains global unclassified reports, including data\ntransmitted over Department of Defense (DOD) networks (FNOC, 1987). A supplement to\nthe FNOC data, hereafter referred to as the Autodin dataset (after DOD's Automated Digital\nNetwork), consists of declassified reports from Navy shipping. The GWC dataset\nincludes worldwide marine data since 1973, which are decoded primarily at GWC and then\nsent for processing and database storage at the Environmental Technical Applications\nCenter (ETAC) in Asheville, N.C. (U.S. Air Force, 1986).\nThe NMC, FNOC, and GWC datasets enter into data assimilation schemes for\noceanographic or weather prediction, as well as climatological or other applications, at\n1 Each marine report combines individual observations (or measurements) with the\nlocation, date, and other information about the report's source.\n2","various centers (Kalnay et al., 1990; Clancy, 1987; U.S. Air Force, 1986). 2 Further, the\nNMC dataset is archived at NOAA's National Climatic Data Center (NCDC) and the\nNational Center for Atmospheric Research (NCAR), and has been combined with delayed-\nmode data, including the declassified Autodin dataset and digitized-logbook data, in interim\n1980-90 products of the Comprehensive Ocean-Atmosphere Data Set (COADS). The\nunclassified FNOC dataset, also archived at NCAR, has been used since 1987 at NOAA's\nClimate Monitoring and Diagnostics Laboratory/Climate Research Division (CMDL/CRD)\nin production of a monthly Surface Marine Bulletin for climate monitoring.\nThe NMC, FNOC, and GWC datasets also contain a mixture of data from different\nplatform types (except Autodin, which contains primarily Navy ship data). Participants in\nthe World Meteorological Organization's (WMO) voluntary-observing-ship program\nproduce the largest and most extensive contribution of data (e.g., WMO, 1982a). Data\nfrom moored buoys and from the Coastal-Marine Automated Network (C-MAN) provide\nlocalized additions, such as those operated by the National Data Buoy Center (NDBC) near\nthe coastal United States (Hamilton, 1986), and drifting buoys have been deployed in many\nsparsely sampled regions of the globe to produce experimental data (Keeley and Patterson,\n1987). Smaller amounts of data come from miscellaneous platforms such as Ocean Station\nVessels (OSV; Diaz et al., 1987) and offshore platforms for mineral recovery (data call sign\nRIGG) or for other purposes (call sign PLAT).\nInstrumentation, mode of data transmission, and other factors may vary somewhat within a\ngiven platform type, but much wider methodological variations are found between different\nplatform types. Comparisons of ship data with data from other platform types have been\nmade, e.g., with OSV data (Quayle, 1980; Ramage, 1986), with moored buoy data\n(Quayle, 1984; Wilkerson and Earle, 1990), with data from those and other \"fixed\"\nplatform types (Graham, 1982), with drifting buoy and satellite data (Reynolds, 1988), and\nwith hydrographic station or bathythermograph data (Barnett, 1984; Levitus, 1987;\nReverdin, 1988).\n2 See Trenberth and Olson (1988) for intercomparisons of NMC and European Centre for\nMedium-Range Weather Forecasts (ECMWF) analyses.\n3 COADS is the result of a continuing cooperative project between the National Oceanic and\nAtmospheric Administration (NOAA)-its Environmental Research Laboratories (ERL),\nNational Climatic Data Center (NCDC), and Cooperative Institute for Research in\nEnvironmental Sciences (CIRES; joint with the University of Colorado)-and the National\nScience Foundation's National Center for Atmospheric Research (NCAR). COADS\nproducts are available from NCAR or NCDC (see Woodruff et al., 1987).\n3","For compilations such as COADS or that of Bottomley et al. (1990), the effects of\ncombining data from different platforms and real-time datasets into, e.g., monthly averages\nfor 2° latitude X 2° longitude boxes have not been conclusively determined. Systematic\nspatial or temporal sampling inhomogeneities also are of concern. One example is uneven\nsampling of the diurnal cycle, whether the cycle is real (van Loon, 1984; Diaz et al., 1987)\nor artificially augmented such as is the case for air temperature by insolational heating of the\nship's fabric (Folland et al., 1984). A related concern is that hourly data from automated\nplatforms (e.g., moored buoys) may overwhelm the statistics for 2° boxes also containing\nship data, which are less frequent (usually 6-hourly) but may be spatially more\nrepresentative. With these uncertainties in mind, the goal of this study was to make three\ndifferent types of comparisons:\n1) Comparisons within the NMC dataset for possible data biases on a monthly-\naverage time scale, between platform subsets, and for daytime/nighttime data.\n2) Comparisons between the NMC and FNOC datasets and their platform subsets,\nincluding checks for differences in coverage, observation counts, and response to\nquality control (trimming performance).\n3) Comparisons of one day (1 December 1986) of individual reports from NMC,\nFNOC, Autodin, and GWC, to help assess the value and typical completeness of all\nthe datasets (restricted to a single day in order to keep the number of reports\nmanageable for detailed analysis).\nResults from the first set of comparisons may impact the techniques for using\nheterogeneous platform and daytime/nighttime data, for example, in calculations of 2°\nlatitude X 2° longitude monthly summaries and other products for future COADS releases\n(Elms, 1991). The second and third sets of comparisons are important because the FNOC\nand GWC data are being considered as possible additions for future releases of COADS,4\n4 COADS currently contains two FNOC decks: Monterey Telecom (deck 555) and Autodin\n(deck 889). Deck 555, covering 1966-73, is the earliest telecommunications source\nincluded; unfortunately, it presents potentially serious data problems (Jenne, 1986; NCDC,\n1989), which may be related to problems in Monterey data described by Caton (1978, p.\n5). Deck 889, covering 1972-79, plus 1980-90 in the COADS interim products, contains\nthe declassified Navy data. COADS currently contains only one GWC deck (888) covering\n4","and for the evaluation of the FNOC data products used in the Surface Marine Bulletin as a\nreal-time continuation of COADS.\nNMC data are received at CRD from NCDC as part of continuing efforts to update\nCOADS. NCDC performed its standard quality control on each NMC report, but in the\nversion of the dataset used for this study, duplicates had not been removed at NCDC.\nDocumentation of any duplicate elimination or quality control functions performed at NMC\nwas not available. FNOC data were received through arrangements with NOAA's National\nMarine Fisheries Service (NMFS) and National Ocean Service (NOS). Exact duplicate\nreports were removed at FNOC, but no other quality control functions were performed on\nthe reports (D.E. Pedneau, U.S. Navy, personal communication). The Autodin data were\nreceived separately from NCDC as part of the COADS input data, and may have had\nduplicates removed at NCDC (documentation was unavailable). Any earlier Autodin\nprocessing is not known. GWC data were obtained by NCDC from ETAC, with various\nquality controls already applied (U.S. Air Force, 1986).\nHence these data represent a typical batch of real-time global marine reports from the three\nprimary U.S. sources. The two months December 1986 and June 1988 (referred to as\nDecember and June) were chosen to be representative of recent data and to sample potential\ninterannual or seasonal variations in the data. The first of these two months also happens\nto fall within an anomalously warm (El Niño) event, while June 1988 belongs to a cold (La\nNiña) event. Individual reports from the two months and each dataset were grouped by\nplatform type. Autodin and GWC data were utilized only for the single-day comparisons\n(1 December 1986). In contrast, each platform file of the NMC and FNOC data was\nprocessed through uniform quality control and other steps (see section 2), yielding monthly\nsummaries for 2° latitude X 2° longitude boxes. Monthly summaries were also calculated\nusing only daytime or nighttime data. It is important to note that the monthly summaries\nwere calculated in each case using all applicable data regardless of observational frequency,\nas is the case with current COADS products. Thus, for example, a given 2° box may\ncontain hourly observations from buoys but 6-hourly observations from ships.\nThe 2° monthly summaries form the basis for the platform and diurnal comparisons, and\nfor comparisons between the NMC and FNOC datasets, presented in section 3 and\n1973-79, plus 1980-81 in the COADS interim products. Currently, the only NMC data in\nCOADS are in the 1980-90 interim products.\n5","discussed in section 4. Further comparisons between the NMC and FNOC datasets, and\namong all the datasets (including Autodin and GWC) based on data for 1 December 1986,\nare discussed in section 4. A summary, section 5, gives recommendations for future work\nand archival improvements. The Supplement section examines the effects of anemometer\nheight differences in ship/buoy wind discrepancies, and Appendices A-F give detailed\ninformation on processing results and observational comparisons.\n2. Processing\nThe processing of the data generally followed the procedures used for the 1980-90 COADS\ninterim products, using as the primary computer system a CDC Cyber 180/840 within the\nU.S. Department of Commerce's Consolidated Scientific Computing System. NMC and\nFNOC data were carried through all of the stages of processing described in this section;\nhowever, the Autodin and GWC data, utilized only for 1 December 1986, were carried\nonly through the first two stages of processing. The processing steps are as follows:\na) Conversions into TD-1129 format\nNMC data, previously converted at NCDC from a format specified in Office Note 124\n(NMC, 1982), arrived at CRD in TD-1129 format (NCDC, 1989). FNOC data arrived in\n\"Surface Ship\" format. Autodin data also had previously been converted at NCDC into\nTD-1129 format. GWC data arrived in DATSAV2 format (U.S. Air Force, 1986). To\nprovide a uniform format for processing and comparison of individual reports, the FNOC\nand GWC data were converted into TD-1129 format by straightforward manipulations.\nb) Platform grouping\nThe TD-1129 reports from each dataset were grouped into separate files by platform type,\nin which each report was assigned a platform-specific deck number (Table 1). Because the\nmiscellaneous data consisted of a relatively small number of reports from diverse platform\ntypes, these files were omitted from most later stages of processing and analysis, but\nmerged with all other data in the \"combined\" files. In addition, the Autodin and GWC data\nwere withheld from the remaining processing steps, which were unnecessary for the\ndetailed 1 December 1986 comparison.\nc) Conversion into Compressed Marine Reports\nIn the first stage of the interim processing, applied only to the NMC and FNOC (excluding\nAutodin) data, each file of TD-1129 reports was converted, as documented in Woodruff\n6","and Lubker (1986), into a standard COADS format for Compressed Marine Reports\n(CMR.5). After conversion, the CMR were sorted by year, month, 2° box, day, hour,\nlongitude, and latitude.\nd) Trimming\nCOADS trimming limits derived from 1950-79 data were used to indicate statistical outliers\nin CMR of sea surface temperature, air temperature, wind, sea level pressure, and relative\nhumidity (Slutz et al., 1985; hereafter Release 1). Except for data reported (erroneously)\nover land6 or over data-sparse ocean regions where trimming limits were not available, a\nflag for each observation was set to indicate how it compared to two sets of limits: 2.80\nand 3.5o (estimated standard deviations) from the smoothed median applicable to a given\nvariable, month, and 2° box. Figure 1 shows overall results of trimming at the 3.50 level,\nafter duplicate elimination (see Appendix A for details; Appendix B gives a separate\nanalysis of the consistency of TD-1129 wind codes). Percentages trimmed (rejected) were\nsimilar between the FNOC and NMC datasets-higher overall for drifting buoys and ships\nthan for moored buoys and C-MAN stations. However, high percentages were trimmed of\nC-MAN sea surface temperatures, as opposed to other C-MAN variables, which may\nreflect strong differences of coastal water temperatures compared with the open ocean.\ne) Duplicate elimination\nThe interim procedure, which defines duplicates as all reports with exact matches in time\nand position, was used to eliminate all but a \"best\" report (defined below) from each set of\npossible duplicates. In the interim procedure, two (or more) reports were considered to be\nduplicates if they matched exactly in the first eight CMR fields (10° box, month, 2° box,\nyear, day, hour, longitude, and latitude). Retention of one, and only one, of the reports\nwas then dependent on the following rules:\n5 It was not documented that in this conversion, calculation of a dew point depression less\nthan -0.5°C or greater than 70°C caused both air temperature/and dew point depression to\nbe set to missing. Coarser precision and round-off effects in FNOC air and dew point\ntemperatures (whole degrees) may have resulted in fewer near-saturation temperatures\nsurviving conversion.\n6 The file LLN2F1 (see Release 1, supp. G) was used to distinguish the 4,375 2° boxes\nover land (\"landlocked\") from the remaining 11,827 boxes over coastal (881) or ocean\n(10,946) areas. The file is an approximation and it has some minor problems (P.B.\nWright, personal communication). The inability to distinguish ice-covered areas should\nalso be noted.\n7","1) The \"best\" report, defined as that with the lowest \"trimming code\" (i.e., sum of\nthe numeric values of the trimming flags, fields 30-34), was retained, where, in\ncalculation of the trimming code, a missing variable (or flag) was treated as trimmed\ndata (i.e., as if outside 3.5o; see Appendix A for details on flag numeric values).\n2) In the event that the trimming codes were equal, the report with the highest deck\nnumber (applicable only to the combined files) was retained; or, if the deck\nnumbers were also equal, the last report in sequence was retained.\nIn cases where the trimming flags were all missing (e.g., when a 2° box was landlocked or\nlacked trimming limits) duplicate retention depended solely on rule 2).\nSee Figure 2 for the results of duplicate elimination (Appendix C gives examples of\nduplicate reports). Percentages eliminated were higher for FNOC than NMC ships, and\nhigher, conversely, for NMC than FNOC drifting buoys. Percentages eliminated were\nsimilar for FNOC and NMC moored buoys, and virtually no C-MAN reports were\neliminated.\nAll procedures tried to date (Tables 2-3) are thought to be imperfect (Lander and Morrissey,\n1987; Steurer, 1987; Bottomley et al., 1990), owing to the difficulty of identifying\nduplicates. 7 But the procedure, used for 1980-90 COADS interim processing, was felt to\nbe adequate for the purpose of these comparisons.\nf) Calculation of 2° monthly summaries\nAs the final step in the interim processing, monthly summaries for 2° latitude X 2° longitude\nboxes were prepared separately for each platform type and dataset. For each 2° box, a\nsubset of the full COADS matrix of 19 variables X 14 statistics was calculated, using\nprocedures given in Release 1, supp. A. Two statistics, the mean and number of\nobservations, were calculated for each of eight variables: sea surface temperature\n(abbreviated SST or S), air temperature (AT or A), scalar wind (W), vector wind zonal\n7 Although some duplicates are \"exact,\" others may be very difficult to locate because of\nvariations in data or time/space location elements and the frequent lack of adequate vessel\nidentification; see Release 1, supp. K for details. Sorting by call sign may be helpful for\nlocating duplicates with differences in time/space location (e.g., Appendix F), or sorting by\ndata elements may be helpful for locating duplicates with call sign differences.\n8","(westerly) and meridional (southerly) components (U and V), sea level pressure (SLP or\nP), total cloudiness (C), and specific humidity (Q).\nTrimmed statistics were calculated using only data falling within the 3.50 limits. For\ncomparison with these trimmed statistics, and for analyses of data such as those from\ndrifting buoys reporting from regions lacking trimming limits, a set of untrimmed statistics\nwas also calculated; since cloudiness was not subject to trimming, its trimmed and\nuntrimmed statistics were identical. The trimmed and untrimmed statistics were calculated\nusing all available data, regardless of observational frequency or time of day; the numbers\nof reports per hour are given in Table 4. Diurnal effects were determined by calculating\nsets of trimmed statistics using only daytime or nighttime observations (see Release 1,\nsupp. A for the method of determining times of local sunrise and sunset).\n3. Comparisons of 2° monthly summaries\na) Meridional profiles and global values\nMeridional profiles and global values of average differences (and their standard deviations)\nbetween various sets of monthly summaries for 2° latitude X 2° longitude boxes are given in\nAppendix D; an overview of the global values is provided by Figures 3-9. The\narrangement of these results is as follows:\nFigure 3 and Figures D1-D16 (in Appendix D) compare the untrimmed and\ntrimmed NMC values.\nFigure 4 and Figures D17-D28 give the comparisons between NMC observations\nfrom different platforms.\nFigures 5-6, and Figures D29-D52 give the NMC platform differences separately\nfor daytime (Figure 5 and Figures D29-D40) and nighttime (Figure 6 and Figures\nD41-D52) observations. The numbers of daytime and nighttime reports are given\nin Figure 7.\nFigure 8 and Figures D53-D68 give the differences between the daytime and\nnighttime NMC observations for different platforms.\nFinally, Figure 9 and Figures D69-D84 compare the NMC and FNOC data from\ndifferent platforms.\nIt should be emphasized that the extent of the comparisons is restricted by the requirement\nthat each pair of 2° boxes subtracted one from the other possessed at least one observation\nper box; in particular, the comparisons in Figure 3 and Figures D1-D16 involved only\n9","boxes in which at least one observation survived the trimming process. Hence an \"average\nzonal\" difference may not be longitudinally representative, and the representativeness may\nalso vary from one latitude band to another (see Appendix E). All comparisons except\nthose in Figure 3 and Figures D1-D16 use the trimmed data.\nb) Global maps\nAppendix E gives global maps showing data coverage for the 2° monthly summaries using\nuntrimmed data, including boxes over land or regions without trimming limits. Unlike the\nmeridional profiles and global values, these maps allow a complete view of data coverage,\nexcept for defective or duplicate reports that failed to reach this stage of processing.\n4. Discussion\na) General considerations\nThe differences established within the NMC dataset and between it and the FNOC dataset\ncan be assessed by scaling the zonal and global means with their standard deviations (the\nstandard deviation divided by the square root of the relevant number of boxes); this\nformally gives a t variate that approaches the Gaussian form as the number of boxes\nincreases (say, over 30). Values that exceed a prescribed significance level (e.g., the\ncommonly used 95% level for single trials) must be expected to occur with that marginal\nfrequency (5%) in multiple trials, and need to be further assessed for practical implications\nonly if that marginal frequency was exceeded substantially.\nAdditional and physically more interesting pointers to nonrandom differences are provided\nby persistent signs of the zonal mean differences along their meridional profiles, and by\nsystematic standard deviation changes that are unrelated to the numbers of boxes. The full\nmeridional profiles required for such extended appraisals are available by and large only for\nthe comparisons involving ships. In the remaining cases the global standard deviations in\nthe figures of Appendix D are the only information not contained also in the relevant\nsummary figures listed in section 3a.\nb) Comparisons within NMC data\ni) Effects of trimming\nComparisons of trimmed and untrimmed 2° monthly NMC data (Figures D1-D16) revealed\nmeridionally persistent differences in some ship data. Thus the trimmed sea surface\ntemperatures were on average 0.1°C warmer (Figure 3) than their untrimmed equivalents,\n10","with consistent patterns in tropical and lower middle latitudes (Figures D1-D2). Also,\nFigure 1 shows an average trimming rate of about 4% for ship (as well as drifting buoy and\nC-MAN) sea surface temperatures, whereas only 0.04% of a Gaussian distribution would\nexceed 3.5o.8 This might to some extent result from overly restrictive (1950-79 based)\ntrimming limits (Wolter et al., 1989), except that December 1986 occurred within a warm\nevent and June 1988 within a cold event, and in both months the outliers were found on the\ncold end of the spectrum. It will be desirable to investigate this effect further with the\ndetailed frequency distribution of sea surface temperature.\nAlthough such a detailed examination of individual ship sea surface temperature\nobservations from areas that were actually warmer or colder during the evolution of the\n1986 El Niño and 1988 La Niña events was outside the scope of this report, the\ndistribution of December 1986 individual 2° box differences was examined in some detail.\nIt appears that especially in the tropics the trimming in both months has removed mainly\nobservations at the lower end of the temperature range. The 2° zone centered at 1°N shows\nthe largest positive zonal difference in Figure D1 (0.8°C). Out of 109 2° boxes in this zone\nfor which a difference was calculated, the difference was negative (but >-1°C) for only\nthree boxes, zero for 85 boxes, positive up to 4°C for 13 boxes, >4°C to 9°C for five\nboxes, and greater than 9°C for three boxes. Although more work would be required to\nassess how other factors contribute to the meridionally persistent patterns, this tendency for\nclearly erroneous ship sea surface temperatures to be colder rather than warmer than normal\nmay be related to a pattern of truncation of the leading (10's °C) digit found in other GTS\ndata samples (K. Wolter, CIRES, personal communication).\nTrimmed scalar wind speeds reported from ships were on average 0.4 m/s lower than their\nuntrimmed equivalents (Figure 3 and Figures D3-D4). Trimming was performed\nseparately for the two wind components; consequently the scalar wind in effect was\ntrimmed only on its upper bound (consistency between speed and direction codes was not\nchecked for by trimming; see Appendix B). The remaining comparisons in Figure 3 and\nFigures D5-D16 did not point to clear or significant effects.\n8 Note that the trimming limits are based on decadal medians and other sextiles (Release 1,\nsupp. C), and thus may be asymmetrical or otherwise non-Gaussian.\n11","ii) Platform and diurnal temperature differences\nDifferences between sea surface temperatures reported from ships and moored buoys, as\nwell as from drifting buoys, averaged about 0.1°C, without clear meridional trends (Figure\n4 and Figures D17/18 and D21/22); the corresponding average air temperature differences\nwere somewhat larger (0.3°C to 0.4°C). Considerably larger air temperature differences\nwere found between daytime and nighttime observations from all platforms (Figure 8 and\nFigures D53/54, D57/58, D61/62, and D65/66); the maximum differences were for ships in\nthe summer hemisphere (Figures D53/54). The much smaller positive sea surface\ntemperature (SST) differences shown in the same figures confirm that different methods of\nmeasuring SST have smaller effects than daytime heating of ship and even buoy structures\n(Quayle, 1984; Ramage 1984). Very large differences between temperatures reported by\nC-MAN stations and nearby ships (Figures 4 and D25) in the winter may reflect the fact\nthat climatic conditions are then colder near the shore than over the open ocean.\nSignificant differences were also found, within different platforms of all types, between the\ndiurnal sea and air temperature ranges (Figure 8 and Figures D53/54, D57/58, D61/62, and\nD65/66). The data from automated platforms suggest a genuine diurnal SST range of about\n0.1°C. Presumably as a consequence of structural heating, the average diurnal air\ntemperature range was larger for ships (0.8°C; Figures D53/54) and C-MAN stations\n(0.7°C; Figures D65/66) than for moored buoys (0.3°C; Figures D57/58) and drifting\nbuoys (0.6°C; Figures D61/62); van Loon (1984) states that a genuine diurnal air\ntemperature range of up to 0.5°C should be expected.\niii) Platform and diurnal pressure differences\nSea level pressures reported by ships were slightly lower on average than those reported\nfrom all other types of platforms (Figure 4 and Figures D17/18, D21/22, and D25/26),\nwhich could reflect uncorrected barometer height differences. Only moored buoys and C-\nMAN stations reported significant differences between daytime and nighttime average\npressures (0.2 mb; Figure 8 and Figures D57/58 and D65/66). The meridional profiles of\nthe standard deviation of diurnal ship pressure differences clearly reflect both the steadier\nconditions of the tropics and the middle-latitude disturbances of the winter hemisphere\n(Figures D53/54).\niv) Platform and diurnal wind differences\nRepresentation of wind observations for a dataset such as COADS is complicated by\nhistorical changes in observing practices from ships (Ramage, 1987), and in later years by\n12","addition of data from automated observing platforms. Indicators are often available in\nrecent ship reports for the method and original units of wind speed, as are similar indicators\nfrom other platform types (Table 6). However, for compatibility with current COADS\nprocessing methods for calculation of 2° monthly summaries, such indicators were not\nconsidered for this study. Platform anemometer heights, whose effects are examined in the\nSupplement, generally are not recorded in individual marine reports, but may appear in\nseparate \"metadata\" such as annual files of ships' instrumentation (e.g., WMO, 1982a).\nFor modern ship data, wind speed and direction under steady conditions are supposed to be\n10-minute averages, where the wind may be estimated using the Beaufort scale or\nmeasured with an anemometer, and the wind speed may be reported in knots or meters per\nsecond (WMO, 1974). In contrast, NDBC-designed 1-second wind samples may be\naveraged over periods of 8-10 (currently either 8 or 8.5) minutes for moored buoys (to\ncompensate for buoy motion) and 2 minutes for C-MAN data; either vector or \"scalar\"\n(i.e., separate for speed and direction) averagings are used, and anemometer heights of\n3.7-13.8 m, versus approximately 20 m on ships (Gilhousen, 1987b; Gilhousen, 1987c;\nNDBC, 1987; Cardone et al., 1990). It should be noted that vector averages will always\nbe smaller than scalar averages except in the absence of any changes in wind direction.\nIn general agreement with Quayle (1984) and Wilkerson and Earle (1990), average scalar\nwind speeds reported by ships were found to be larger than speeds reported by moored\nbuoys (0.8 m/s; Figure 4 and Figures D19/20), drifting buoys (2.2 m/s; Figure 4 and\nFigures D23/24), and C-MAN stations (1.1 m/s; Figure 4 and Figures D27/28). A separate\nanalysis, reported in the Supplement, found these differences not to be clearly related to\nanemometer heights. Daytime average scalar wind speeds reported by ships were 0.3 m/s\nhigher than nighttime speeds (Figure 8 and Figures D55/56). Ramage (1984) reported a\nsimilar positive difference of 0.2 m/s for ship data from the Philippine Sea, which he\nsuggested may be slightly exaggerated by nighttime underestimation.\nv) Diurnal differences in ship observations of cloudiness and humidity\nAverage daytime cloud amounts were higher by nearly 0.5 octa, and specific humidity\nvalues by 0.2 g/kg, than nighttime values (Figure 8 and Figures D53/54 and D55/56). At\nleast part of the cloudiness difference could have arisen from observational difficulties,\nwhile the difference in specific humidity is consistent with the potential positive bias in\ndaytime air temperatures (Ramage, 1984).\n13","c) Comparisons among NMC, FNOC, Autodin, and GWC data\nFor ship data and other platform types the NMC and FNOC datasets were found to be\noverlapping in terms of spatial (Appendix E) and temporal coverage (Tables 4-5; Appendix\nF). For example, more off-3-hourly9 data from OSV's are available from FNOC than from\nNMC. For moored buoy and C-MAN data, off-3-hourly reports are deliberately limited in\nthe NMC dataset. NDBC provides a more complete set of U.S. moored buoy and C-MAN\nreports, plus drifting buoy data starting in April 1988, in delayed-mode with better quality\ncontrol (Gilhousen, 1987a). The improved NDBC data are not a part of the NMC data\nused in this report, but are planned for integration into future COADS products.\nThe overlapping coverage of the NMC and FNOC datasets was confirmed by more\nrigorous tests, based on the detailed comparisons using only data for 1 December 1986.\nThese tests also indicated that the GWC data were similarly overlapping (Table 5 and\nAppendix F). The Autodin dataset, containing declassified Navy data, was largely (88%)\nunique, as expected.\nUnfortunately, the current NMC, FNOC, and GWC formats are all, to varying degrees,\ninadequate for archival. This in some cases results in significant differences between the\ndatasets. For example, a difference exists in conversion from whole meters per second to\nwhole knots that yields NMC wind speeds (rounded) frequently 1 knot higher than those\nfrom matching FNOC reports (truncated) with a zonally consistent global bias (Figure 9\nand Figures D69-D84) for ship (on average -0.1 m/s) and moored buoy (-0.3 m/s) data.\nFortunately, this problem is planned for correction when FNOC phases in the Binary\nUniversal Form for Data Representation (BUFR) format (ECMWF, 1988). Following are\nother examples of current format problems (see Appendix C for details):\nNMC Office Note 124 format: Omission of WMO bulletin headers, and problems\nin retention of precipitation data.\nFNOC Surface Ship format: Insufficient resolution in some fields (e.g., air\ntemperature to whole degrees Celsius), omission of other fields, and the lack of\nimportant modifications for the 1982 code changes.\n9 Nowadays, synoptic observations from voluntary observing ships are ordinarily made at\nthe \"main standard\" (6-hourly) times 0000, 0600, 1200, and 1800 UTC; or at the\n\"intermediate standard\" times 0300, 0900, 1500, and 2100 UTC (WMO, 1982b). OSV's\nand automated observing platforms may report more frequently. In this report, \"3-hourly\"\nrefers to the combination of main and intermediate standard times, \"off-3-hourly\" refers to\nhours other than 0000, 0300, 0600, 0900, 1200, 1500, 1800, and 2100, and \"off-6-\nhourly\" refers to hours other than the main standard times.\n14","GWC format: Problems in the platform identification fields, including truncation\nof ship and C-MAN call signs to 4 characters, and nonstandard (2-digit) numbering\nfor moored buoys.\nThese format shortcomings present difficult problems for the possible inclusion of alternate\nGTS sources in future COADS updates.\n5. Recommendations\na) Retention and upgrades\nAs changes occur in observing practices and data platforms, and in the event of occasional\nor catastrophic system failures, retention of two or more real-time datasets in permanent\narchives such as at NCDC and NCAR will ensure the best possible coverage. For\nexample, as future WMO codes change, national and international coordination might\nensure against losses of real-time data.\nThe planned upgrade of the FNOC format to archival quality, including 1982 code\nchanges, is strongly endorsed. Changes are also recommended in the NMC and GWC\nformats to avoid archival data losses. The truncation problem at FNOC in conversion of\nwind speed from meters per second to knots, which makes it difficult to blend FNOC and\nNMC data, should be resolved. Perhaps, as suggested by Dischel and Pierson (1986) for\nmoored buoy data, wind speeds from all platform types and countries should be reported in\nknots (or even tenths of a meter per second) to avoid unnecessary losses of precision,\nrather than whole meters per second as advocated by WMO (1974).\nAs storage costs drop and storage media become more efficient, consideration should be\ngiven to retention of original WMO message groups at archival centers, and copies of both\nreal-time and delayed-mode data should be retained at all times in the original format of\nreceipt at NCDC. Blending all the marine in situ data into a single format, as in COADS,\nwill benefit integration of all the subsets (see Table 6). Although physical integration into a\nsingle file will benefit users seeking to blend the data in diverse ways, it will complicate\npiecewise updating. However, the overall benefits of integration may outweigh the extra\neffort and resources needed.\n15","b) Platform information\nIndividual ship instrumentation and other information is updated yearly in a digital version\nof WMO publication No. 47 (e.g., WMO, 1982a), 10 although Earle and Wilkerson (1986)\nnote the omission of \"many ships participating in the voluntary reporting program\" from\nthe WMO database as well as from a similar database maintained by NOAA. An\ninternationally sanctioned and maintained digital repository of information for individual\nplatforms of other types (e.g., moored buoys, drifting buoys, C-MAN stations) would be\ninvaluable for retrospective data usage in order to evaluate changing instrumentation, etc.\nFor example, efforts devoted to the adjustment of sea surface temperatures taken from\nships before 1942 (e.g., Bottomley et al., 1990) have been based at least in part on\neducated guesses about bucket type. It would be unfortunate if the uncertainties we are\nnow facing with ship data were destined to be repeated with regard to buoys and other\nautomated platforms.\nThe WMO Commission on Marine Meteorology (CMM) and the Integrated Global Ocean\nServices System (IGOSS), coordinated jointly by WMO and the Intergovernmental\nOceanographic Commission (IOC), are the relevant international bodies that could\nimplement improvements in platform information, although U.S. efforts at maintaining\nmetadata files on its platforms should be made as soon as possible in addition to\ninternational negotiations. One encouraging recent step is that Canada's Marine\nEnvironmental Data Service (MEDS), acting as the Responsible National Oceanographic\nData Centre (RNODC) for drifting buoy data, has begun to develop archives of buoy\ncharacteristics (R. Keeley, MEDS, personal communication).\nc) Continuing comparisons of real-time data\nComparisons of real-time datasets should be continued periodically in order to monitor the\nsystems for data shortfalls and errors. An organization such as NCDC might be the\nappropriate national center to make periodic comparisons (the estimated staffing\nrequirement is approximately 1/3 person). Cooperation with ERL and NCAR could also\nprove helpful, provided adequate resources are available.\n10 WMO publication No. 47 is available in paper form from 1955, and is known to exist in\ndigital form since 1973 (P. Dexter, WMO, personal communication). Note that the 1955\nstarting date differs from that (1956) given in Bottomley et al. (1990). One omission from\npublication No. 47 is individual ship tonnages.\n16","d) Ramifications for COADS Release 2\nSome significant differences between data from different platform types, times of day, and\ndatasets have been described. Ideally, these comparisons should be expanded to include\nother heterogeneous platform data (e.g., near-surface bathythermograph data), before data\nare blended together for COADS Release 2 (Elms, 1991). Assessments are needed of the\nimportance of the data differences, of the impact on spatial averages of the different\nfrequency rates of data sampling (e.g., hourly from drifting or moored buoys), of diurnal\ndifferences, etc., prior to calculation of monthly summaries for Release 2. For instance,\nseparate statistics may be desirable for nighttime marine air temperatures, such as were\nutilized by Folland et al. (1984).\nLarge differences between ship and buoy winds require further study, such as that in the\nSupplement, which did not show a clear relationship between anemometer height and wind\nspeed. Other possible complicating factors include differences in ship structural effects and\nmethodological differences, such as vector versus scalar wind speed averages that\nGilhousen (1987b) found to produce ~7% differences for moored buoy and nearby C-\nMAN data under high wind speed (greater than 8 m/s) conditions. Thus we anticipate that\nit will be essential to calculate separate statistics for different platform types that could then\nbe studied separately or blended by individual researchers (see the Supplement, which also\nrefers to a simple method for in situ calibration of ships' anemometers). A similar need\nmay arise for other data such as sea surface and air temperatures.\ne) Validation of historical marine decks\nCardone et al. (1990) examined systematic differences between historical marine decks of\nthe wind elements and associated indicators. More general comparisons should also be\nmade among the many decks that were included in Release 1 (1854-1979). For example,\nMonterey Telecom data (deck 555; 1966-1973) are believed to contain large errors in\ntemperature; comparisons such as given in Appendices D and E could help determine the\nimpact and extent of these errors. Comparisons are also recommended before additions of\ndata or modifications are made to the period before 1980, such as the planned merger of\nCOADS with the U.K. Meteorological Office Main Marine Data Bank (Woodruff, 1990).\nSuch comparisons could be important, for example, in the preparation of data from the\n1950-79 period to assist eventual reanalysis of model-initialization data, and for climate-\nchange studies to better quantify the value of adding delayed data (e.g., from ship\nlogbooks) to real-time collections.\n17","Acknowledgments: Valuable suggestions for this report have been made by R. Bauer,\nH. Diaz, J. Elms, R. Jenne, D. Joseph, R. Keeley, J. McDonell, D. McLain, C. Ramage,\nR. Reynolds, A. Stroud, W. Thorpe, and K. Wolter. One of the authors, E. Doggett, was\na NOAA Corps officer assigned to the Climate Research Division.\n18","References\nBarnett, T.P., 1984: Long-term trends in surface temperature over the oceans. Mon. Wea.\nRev., 112, 303-312.\nBottomley, M., C.K. Folland, J. Hsiung, R.E. Newell, and D.E. Parker, 1990: Global\nOcean Surface Temperature Atlas (GOSTA). Joint UK Meteorological\nOffice/Massachusetts Institute of Technology project, HMSO, London.\nCardone, V.J., J.G. Greenwood, and M.A. Cane, 1990: On trends in historical marine\nwind data. J. Climate, 3, 113-127.\nCaton, F.G., 1978: Documentation and user's guide for the FNWC Consolidated Data Set\nof Marine Surface Observations. Rep. N00228-78-D-4316, Meteorology\nInternational, Inc., Monterey, Calif.\nClancy, R.M., 1987: Real-time applied oceanography at the Navy's global center. MTS\nJournal, 21, 33-46.\nDiaz, H.F., C.S. Ramage, S.D. Woodruff, and T.S. Parker, 1987: Climatic Summaries of\nOcean Weather Stations. NOAA Environmental Research Laboratories, Climate\nResearch Division, Boulder, Colo., 363 pp.\nDischel, R.S., and W.J. Pierson, Jr., 1986: Comparisons of wind reports by ships and\ndata buoys. Proc. MDS '86 Marine Data Systems International Symposium,\nMarine Technology Society, New Orleans, La., 447-451.\nEarle, M.D., 1985: Statistical comparisons of ship and buoy marine observations. Rep.\nMEC-85-8, MEC Systems Corp., Manassas, Va.\nEarle, M.D., 1987: Further investigation of factors affecting statistical comparisons of ship\nand buoy wind observations. Rep. MEC-87-4, MEC Systems Corp., Manassas,\nVa.\nEarle, M.D., and J.C. Wilkerson, 1986: Statistical comparisons of ship and NDBC buoy\nmarine observations 1980-1983. Proc. MDS '86 Marine Data Systems\nInternational Symposium, Marine Technology Society, New Orleans, La., 437-\n446.\nECMWF (European Centre for Medium-Range Weather Forecasts), 1988: Binary\nUniversal Form for Data Representation: FM 94 BUFR. Office of the Federal\nCoordinator for Meteorological Services and Supporting Research, Rockville, Md.\nElms, J.D., 1991: Enhancement for the global marine data base. Seventh Symposium on\nMeteorological Observations and Instrumentation, American Meteorological\nSociety, Boston, Mass., J19-J23.\nFNOC (Fleet Numerical Oceanography Center), 1987: Numerical Environmental Products\nManual, Volume I. FNOC, Monterey, Calif.\nFolland, C.K., D.E. Parker, and F.E. Kates, 1984: Worldwide marine temperature\nfluctuations 1856-1981. Nature, 310, 670-673.\nGerald, V.M., 1988: The vital link. Mar. Wea. Log, 32, 17-18.\nGilhousen, D.B., 1987a: Quality control of meteorological data from automated marine\nstations. Fourth International Conference on Interactive Information and\nProcessing Systems for Meteorology, Oceanography, and Hydrology, American\nMeteorological Society, Boston, Mass., 248-253.\nGilhousen, D.B., 1987b: A field evaluation of NDBC moored buoy winds. J. Atmos.\nOceanic Technol., 4, 94-104.\nGilhousen, D.B., 1987c: Comment on \"Summary of a Workshop/Seminar on Oceanic\nStorms.\" Bull. Amer. Meteor. Soc., 68, 782.\nGraham, A.E., 1982: Winds estimated by the Voluntary Observing Fleet compared with\ninstrumental measurements at fixed positions. Meteor. Mag., 111, 312-327.\nHamilton, G.D., 1986: National Data Buoy Center programs. Bull. Amer. Meteor. Soc.,\n67, 411-415.\n19","Jenne, R.L., 1986: Technical working group report. Proceedings of a COADS Workshop,\nBoulder, Colorado, January 22-24, 1986, S.D. Woodruff, Ed., NOAA\nEnvironmental Research Laboratories, Climate Research Program, Boulder, Colo.,\n183-189.\nKalnay, E., M. Kanamitsu, and W.E. Baker, 1990: Global numerical weather prediction at\nthe National Meteorological Center. Bull. Amer. Meteor. Soc., 71, 1410-1428.\nKeeley, J.R., and S.L. Patterson, 1987: Drifting buoy data for marine research. WOCE\nNewsletter, No. 5, 12-16.\nLander, M.A., and M.L. Morrissey, 1987: Unexpected duplicate ship reports in the\nComprehensive Ocean-Atmosphere Data Set (COADS). Trop. Ocean-Atmos.\nNewslett., No. 38, 13-14.\nLevitus, S., 1987: A comparison of the annual cycle of two sea surface temperature\nclimatologies of the world ocean. J. Phys. Oceanogr., 17, 197-214.\nList, R.J., 1966: Smithsonian Meteorological Tables. Smithsonian Institution,\nWashington, D.C., 527 pp.\nLiu, W.T., K.B. Katsaros, and J.A. Businger, 1979: Bulk parameterization of air-sea\nexchanges of heat and water vapor including the molecular constraints at the\ninterface. J. Atmos. Sci., 36, 1722-1735.\nNCDC (National Climatic Data Center), 1989: TD-1129 Marine Data Users Reference:\n1970-Current. NCDC, Asheville, N.C.\nNDBC (National Data Buoy Center), 1987: Coastal-Marine Automated Network (C-MAN)\nUsers Guide. NDBC, NSTL, Miss., 49 pp.\nNDBC (National Data Buoy Center), 1990: NDBC Data Availability Summary: August\n1990. NDBC, Stennis Space Center, Miss., 88 pp.\nNMC (National Meteorological Center), 1982: NMC Format for Surface Reports (rev.\nApril 1982). NMC Office Note 124, Washington, D.C.\nQuayle, R.G., 1980: Climatic comparisons of estimated and measured winds from ships.\nJ. Appl. Meteor., 19, 142-156.\nQuayle, R.G., 1984: Comparisons between ship and buoy climatologies. Mar. Wea. Log,\n28, 137-140.\nRadok, U., and E.J. Steiner, 1984: Wind estimation from a moving ship. Trop. Ocean-\nAtmos. Newslett., No. 23, 17-18.\nRamage, C.S., 1984: Can shipboard measurements reveal secular changes in tropical air-\nsea heat flux? J. Climate Appl. Meteor., 23, 187-193.\nRamage, C.S., 1986: A comparative analysis of marine weather records from Ocean\nWeather Stations and merchant-ships. Proceedings of a COADS Workshop,\nBoulder, Colorado, January 22-24, 1986, S.D. Woodruff, Ed., NOAA\nEnvironmental Research Laboratories, Climate Research Program, Boulder, Colo.,\n72-77.\nRamage, C.S., 1987: Secular changes in reported surface wind speeds over the ocean. J.\nClimate Appl. Meteor., 26, 525-528.\nReverdin, G., Y. du Penhoat, and J. Servain, 1988: Sea surface temperature:\na\ncomparison between ship reports from marine decks and ship-of-opportunity\nsubsurface data in the tropical Atlantic Ocean. Trop. Ocean-Atmos. Newslett.,\nNo. 47, 1-4.\nReynolds, R.W., 1988: A real-time global sea surface temperature analysis. J. Climate, 1,\n75-86.\nSlutz, R.J., S.J. Lubker, J.D. Hiscox, S.D. Woodruff, R.L. Jenne, D.H. Joseph, P.M.\nSteurer, and J.D. Elms, 1985: Comprehensive Ocean-Atmosphere Data Set;\nRelease 1. NOAA Environmental Research Laboratories, Climate Research\nProgram, Boulder, Colo., 268 pp. (NTIS PB86-105723).\nSmith, S.D., 1988: Coefficients for sea surface wind stress, heat flux, and wind profiles as\na function of wind speed and temperature. J. Geophys. Res., 93, 15,467-15,472.\n20","Steurer, P.M., 1987: Reply: Unexpected duplicate ship reports in the Comprehensive\nOcean-Atmosphere Data Set (COADS). Trop. Ocean-Atmos. Newslett., No. 40,\n12-14.\nTrenberth, K.E., and J.G. Olson, 1988: An evaluation and intercomparison of global\nanalyses from the National Meteorological Center and the European Center for\nMedium Range Weather Forecasts. Bull. Amer. Meteor. Soc., 69, 1047-1057.\nU.S.\nAir Force, 1986: Climatic Database Users Handbook No. 4, DATSAV2 Surface\n(USAFETAC/UH-86/004). USAF Environmental Technical Applications Center,\nFederal Building, Asheville, N.C.\nU.S. Coast Guard, 1981: List of Merchant Vessels with SAR Data. U.S. Coast Guard\nCOMDTNOTE 16122 (July 1981), Governors Island, N.Y.\nvan Loon, H. (Ed.), 1984: World Survey of Climatology, Vol. 15: Climates of the Oceans.\nElsevier, Amsterdam, 716 pp.\nWilkerson, J.C. and M.D. Earle, 1990: A study of differences between environmental\nreports by ships in the Voluntary Observing Program and measurements from\nNOAA buoys. J. Geophys. Res., 95, 3,373-3,385.\nWoodruff, S.D., R.J. Slutz, R.L. Jenne, and P.M. Steurer, 1987: A comprehensive\nocean-atmosphere data set. Bull. Amer. Meteor. Soc., 68, 1239-1250.\nWMO (World Meteorological Organization), 1966: International Meteorological Tables.\nWMO No. 188, Geneva, Switzerland.\nWMO (World Meteorological Organization), 1974: Manual on Codes, Vol. 1. WMO No.\n306, Geneva, Switzerland.\nWMO (World Meteorological Organization), 1982a: International List of Selected,\nSupplementary and Auxiliary Ships. WMO No. 47, Geneva, Switzerland.\nWMO (World Meteorological Organization), 1982b: Guide to Marine Meteorological\nServices, 2nd ed. WMO No. 471, Geneva, Switzerland.\nWolter, K., S.J. Lubker, and S.D. Woodruff, 1989: Trimming-A potential error source\nin COADS. Trop. Ocean-Atmos. Newslett., No. 51, 4-7.\nWoodruff, S.D., 1990: Preliminary comparison of COADS (US) and MDB (UK) ship\nreports. Observed Climate Variations and Change: Contributions in Support of\nSection 7 of the 1990 IPCC Scientific Assessment, D. Parker, Ed., WMO/UNEP\nIntergovernmental Panel on Climate Change, Geneva, Switzerland.\nWoodruff, S.D., and S.J. Lubker, 1986: COADS 1980-85 update. Proceedings of a\nCOADS Workshop, Boulder, Colorado, January 22-24, 1986, S.D. Woodruff,\nEd., NOAA Environmental Research Laboratories, Climate Research Program,\nBoulder, Colo., 36-48.\n21","","Table 1. Platform grouping and deck assignments (see also Appendix F).\nDeck\nPlatform\nNMC*\nFNOC\nAutodin GWC+\nShip\n892\n792\n889\n692\nMoored buoys#\n893\n793\n693\nDrifting buoyst\n894\n794\n694\nCoastal-Marine Automated Network (C-MAN)\n895\n795\n695\nMiscellaneous\n896\n796\n696\nCombined\nall above all above\nall above\n* NMC data had already been assigned deck numbers 892-896 at NCDC. This\nassignment was primarily based on the code for \"report type\" (Appendix S.3 in NMC,\n1982): Codes 511-513 (land station) were assigned to C-MAN data. Code 521 (fixed\nocean station) was assigned to OSV data. Codes 521-522 (moving ocean stations, with or\nwithout names) were assigned to ship data, unless the call sign was RIGG or PLAT.\nCodes 531-532 (marine reporting station, stationary or moving) were assigned to C-MAN\nand misc. data, respectively. Code 551 (quality control data), if reported, would be\nassigned to misc. data. Codes 561-562 with a 5-digit call sign were assigned to buoys:\nmoored if the buoy number's last 3 digits were less than 500, and drifting otherwise.\nCodes 561-562 with a nonnumeric call sign were assigned to C-MAN data.\nFNOC data were separated according to the value in each report's \"ship number or call\nsign\" field. Five-letter call signs (limited to ,...,I,J), usually for drifting buoys, were\ntranslated to corresponding digits (1,...,9,0). Alternately, call signs could already consist\nof a 5-digit sequence, usually for moored buoys. In either case, if the last 3 digits were\ngreater than 500, this was interpreted as a drifting buoy number; otherwise, it was\ninterpreted as a moored buoy number (note that 500 as the 3 last digits is apparently\nundefined by WMO). Additional drifting buoys carried a generic call sign DRIBU or\nBUOY. C-MAN call signs were taken from NDBC (1990). Misc. data had a call sign\nconsisting of C7 followed by a letter (OSV), PLAT, MARS, or RIGG. Ship data were\ndefined as any call sign not assigned by the preceding rules. Appendix F discusses\npossible ambiguities between 5-letter ship and drifting buoy call signs.\n+ GWC data were separated depending on the contents of three DATSAV2 fields (see U.S.\nAir Force, 1986 for numbering): block (C05), type (C14), and call (C24). The call sign\nfield in TD-1129 was set to the 4-character string contained in call, except in the case of\ndrifting buoy data, where call was DRIB, and a drifting buoy number was extracted from\nthe section 3 remarks. If call was in the range DB00-99, or BUOY, assignment was made\nto moored buoy data. If call started with C7 or was PLAT or RIGG, or type was 05,\nassignment was made to misc. data. Remaining reports were assigned to ship data if block\nwas 999999, or otherwise to C-MAN data. Note that since call was a 4-character string,\nany longer ship or C-MAN calls were truncated by GWC. In addition, moored buoys were\nassigned an arbitrary 2-digit number.\n++ NMC and FNOC reports with the generic call sign BUOY were assigned to the drifting\nbuoy decks (894/794) for December, but reassigned to the moored buoy decks (893/793)\nfor June (see Appendix F).\n§ Miscellaneous data include reports from MArine Reporting Stations (MARS), the generic\ncall signs PLAT and RIGG, and Ocean Station Vessels (OSV) that generally report from\nassigned Ocean Weather Stations (OWS). MARS are marinas, lighthouses, small fishing\nvessels, and the like that are not automated and that are either land- or ship-based (note\ndifferent usage of the term for NMC data). PLAT is a platform constructed offshore\n(without a drilling rig) that serves as a harbor marker or navigation aid, housing facilities\nfor small rig personnel, or a manned observation post. RIGG is an oil, gas, etc. platform\nthat contains drilling or other mineral-recovery equipment.\n23","Table 2. Duplicate elimination error rates within a 3° box, estimated by visual inspection,\nfor three procedures (see Table 3), based on 12 months of 1986 Red Sea data (3,810 TD-\n1129 reports from NMC and other decks; 37°E-40°E, 20°N-23°N). In comparison, Lander\nand Morrissey (1987) found less than 0.6% duplication rate crossing the boundary of 1°\nboxes, and Steurer (1987) estimated a 0.4% rate for duplicates crossing into the next month\n(or year). Appendix F shows that rates of erroneous retention for the interim procedure\nmay be much higher (e.g., 3% for ship data, shown in parentheses).\nErroneously retained\nProcedure\nErroneously eliminated\nPercentage\nDups.\nPercentage\nDups.\n?\n3.6%\n139\nNCDC*\n?%\n6\n0.4%\n16\nModified '70s**\n0.2%\n27\nInterim\n0.3%\n10\n0.7% (3%)\n* The data had already been subject to the NCDC procedure. Therefore, the effects of the\nother two procedures were cumulative with respect to the NCDC procedure.\n** Within each 1° subsquare, all reports with the same year, month, day, and hour were\ncompared using the rules for the number of weather elements in common that may differ,\nwithout allowances. This procedure differed from that used for 1970-79 COADS data (see\nRelease 1) because it lacked the check for duplicates crossing into adjacent hours (a\nnonexistent situation in this data sample), and it omitted the allowances for the weather\nelements.\n24","Table 3. Duplicate elimination methods used by NCDC (1989), for 1970-79 COADS\nprocessing (Release 1), and for COADS interim processing as well as this study. Equals\nsign (=) is used to indicate \"must be equal.\" Tests that are not applicable are indicated by\nN/A.\nTest\nNCDC\n'70s COADS\nInterim COADS\n10° box\n=*\n=\n=\nYear\n=\n=\n=\nMonth\n=\n=\n=\nn° box\n1o*\n1°\n2°\nLatitude/longitude\n+ 0.1°\nN/A\n=\nDay\n=\n=\n=\nHour\n+ 1 hour\n=\n=\nCall sign\n= **\nN/A\nN/A\nWeather element\nN/A\nwith allowances+\nN/A\nBest dup.\nqual. code\nqual. code\ntrimming code\nEqual code\nhighest deck\npriority deck\nhighest deck\nEqual deck\nfirst report\nsecond report\nsecond report\nUncertain dups.\nN/A\nyest\nN/A\n* Implicitly equal because of the database sort used: 10° Marsden Square (MSQ), 1° MSQ,\nyear, month, day, hour, 0.1° latitude, 0.1 longitude, call sign, deck, quality code.\nGeneric call signs (SHIP, BUOY, RIGG, and PLAT) are handled differently than\ngenuine call signs.\n+ Seven weather elements (wind speed, visibility, present and past weather, SLP, AT, and\nSST) are tested. Measured winds are given a 0.6 m/s allowance, and a larger allowance is\ngiven for estimated winds. For 1980s data, only matches including deck 888 (GWC)\nqualify for the temperature allowance (i.e., permitting a difference of less than 1°C).\n++ Uncertain duplicates are defined by Table K5-3 in Release 1 (note that this differs from\nthe definition given in section 4.1 of Supplement K of Release 1) and are retained in Long\nMarine Reports. Only in pre-'70s duplicate elimination was a day-cross permitted (i.e.,\nallowing one report to match another with a difference of one in the day), which was\nalways uncertain. An uncertain hour-cross occurs only in a non-GTS match with seven\nweather elements in common, one different. An uncertain no-cross occurs in a GTS match\nwith five or six elements in common, one different, or in a non-GTS match with five, six,\nor seven elements in common, one different.\n25","Table 4. Numbers of reports per hour (UTC), dataset, and platform (after duplicate\nelimination), for (a) December 1986 and (b) June 1988.\n(a) December\nC-MAN\nMiscellaneous\nShips\nMoored buoys\nDrifting buoys\nHour FNOC NMC FNOC NMC FNOC NMC FNOC NMC FNOC NMC\n1155\n847\n809\n00\n23817\n21956\n1385\n1417\n1904\n1783\n1022\n1966\n1046\n10\n441\n77\n01\n263\n48\n1156\n50\n1854\n18\n474\n33\n02\n84\n50\n1201\n64\n2290\n2123\n1021\n03\n2260\n2208\n1417\n1469\n2311\n1769\n1053\n1183\n733\n705\n444\n68\n04\n38\n16\n1221\n27\n2357\n2085\n1054\n0\n1032\n15\n447\n64\n05\n138\n76\n1197\n65\n2084\n2128\n06\n1496\n21517\n20630\n1475\n1945\n2050\n1055\n1186\n1041\n1036\n07\n71\n52\n1167\n49\n1889\n1836\n1040\n0\n426\n78\n447\n43\n08\n94\n51\n1262\n62\n2012\n1849\n1070\n5\n1074\n1187\n808\n793\n09\n2329\n2299\n1438\n1453\n2412\n2038\n2000\n436\n73\n1771\n1076\n6\n10\n60\n37\n1206\n8\n11\n239\n78\n1235\n38\n2068\n1900\n1036\n11\n454\n59\n1063\n1045\n12\n22153\n20846\n1346\n1484\n2141\n2026\n1015\n1188\n995\n10\n434\n78\n13\n64\n50\n1137\n31\n2020\n1926\n452\n19\n2529\n2290\n1006\n23\n14\n111\n74\n1156\n42\n1044\n1181\n841\n837\n15\n2088\n2071\n1437\n1480\n2537\n2112\n75\n2518\n2161\n1047\n0\n448\n16\n85\n56\n1173\n20\n22\n448\n47\n17\n175\n96\n1108\n42\n2362\n2197\n919\n1012\n2559\n977\n1175\n1036\n18\n21021\n20244\n1362\n1498\n2526\n0\n444\n80\n56\n2468\n2427\n1055\n19\n126\n109\n1175\n2108\n1056\n19\n428\n26\n20\n96\n54\n1200\n54\n2283\n753\n664\n1383\n2340\n1956\n1075\n1134\n21\n1923\n1752\n1407\n1038\n2\n463\n79\n22\n114\n70\n1181\n21\n2251\n1832\n446\n0\n0\n1208\n64\n2087\n1909\n1045\n54\n23\n215\n24851\n9584\n14254\n7800\nTotal\n99081\n92923\n30250\n12373\n53188\n48801\n26","Table 4 (continued).\n(b) June\nShips\nMoored buoys\nDrifting buoys\nC-MAN\nMiscellaneous\nHour\nFNOC\nNMC\nFNOC\nNMC\nFNOC NMC\nFNOC NMC\nFNOC NMC\n00\n29447\n25866\n2221\n2197\n812\n923\n1033\n1207\n358\n323\n01\n151\n71\n1585\n46\n791\n967\n1034\n0\n289\n49\n02\n75\n35\n1588\n56\n764\n1080\n1033\n7\n290\n3\n03\n2690\n2372\n2077\n1966\n817\n670\n1041\n1204\n374\n296\n04\n55\n30\n1627\n13\n993\n503\n1045\n0\n292\n71\n05\n121\n50\n1610\n61\n1086\n997\n1055\n6\n296\n2\n06\n27274\n25078\n2445\n2433\n893\n1180\n1050\n1204\n461\n383\n07\n75\n42\n1548\n39\n907\n1003\n1015\n0\n292\n62\n08\n92\n16\n1610\n83\n1157\n1300\n1051\n7\n290\n1\n09\n2499\n2001\n2037\n1923\n1268\n749\n1014\n1203\n431\n277\n10\n52\n22\n1541\n6\n797\n372\n1004\n0\n282\n53\n11\n200\n77\n1488\n38\n790\n747\n951\n9\n271\n9\n12\n27408\n24712\n2347\n2414\n1068\n1343\n1011\n1204\n459\n387\n13\n148\n99\n1511\n64\n1181\n1443\n982\n0\n275\n59\n14\n155\n54\n1508\n59\n1112\n1261\n995\n5\n268\n2\n15\n2717\n2537\n2057\n1972\n1155\n769\n1034\n1204\n392\n369\n16\n101\n54\n1547\n12\n1171\n682\n1033\n0\n290\n64\n17\n227\n77\n1480\n52\n1138\n1043\n982\n5\n283\n2\n18\n26542\n24917\n2224\n2318\n1249\n1522\n1031\n1204\n358\n338\n19\n111\n83\n1424\n65\n1274\n1507\n1014\n0\n275\n59\n20\n140\n72\n1465\n95\n1162\n1273\n1011\n7\n281\n4\n21\n2298\n1798\n1920\n1731\n1063\n663\n1048\n1163\n368\n269\n22\n73\n54\n1489\n8\n1071\n349\n1058\n0\n312\n62\n23\n218\n0\n1516\n48\n1031\n836\n1016\n3\n296\n0\nTotal\n122869\n110117\n41865\n17699\n24750\n23182\n24541\n9642\n7783\n3144\n27","Table 5. Dataset overlap comparisons, showing the percentages of reports unique to or\nmissing from each platform subset, with respect to the total number of independent (MAX)\nreports in each case (see Appendix F for details): (a) Using only 6-hourly data (i.e., 0000,\n0600, 1200, and 1800 UTC). For each platform type after internal duplicate elimination,\nunique reports were identified using a cross check for duplicates between the FNOC and\nNMC datasets. (b) Based on tabulations for each call sign and hour of 1 December 1986\ndata (Autodin data were found to be 88% unique).\n(a) Based on the cross check for duplicates; 6-hourly data\nPercentage of MAX reports\nMAX\nunique to\nreports\nNMC\nFNOC\nPlatform type\n10%\n93,071\nShips\nDecember\n5%\n112,666\nJune\n2%\n11%\n6,193\nMoored buoys\nDecember\n10%\n5%\n6%\n9,947\nJune\n7%\n(b) Based on data for 1 December 1986\nPercentage of MAX reports\nMAX\nmissing from /unique to\nreports\nNMC\nFNOC\nGWC\nPlatform type\n3,403\nShips (4-char. call matching)\nmissing:\n10%\n6%\n9%\n1%\n3,403\nShips (4-char. call matching)\nunique:\n3%\n1%\nShips (NMC versus FNOC)\n9%\n3,376\nunique:\n5%\n-\n9%\n3,360\nShips (NMC versus GWC)\nunique:\n8%\n-\nForeign moored buoys (3-hourly) unique:\n6%\n28%\n85\n-\n1,988\nDrifting buoys\nunique:\n4%\n12%\n-\n0%\n72\nOcean Station Vessels (OSV)\nmissing:\n29%\n0%\n28","Table 6. Examples of representation of wind data and associated indicators in different\nCOADS-related formats used for telecommunicated or delayed-mode data, or for archival.\nConfigurations* are shown for selected fields, or \" \" if a field does not exist in a given\nformat (other fields and formats exist).\nFormat\nD\nW\nDI\nWI\nOI\nAH\nAM\nAP\nWMO (FM 13-VII) telecom\n10\nm/k\nu/m\nWMO (IMM) delayed-mode\n10\nm/k\nu/m\nNMC Office Note 124\n1\nk\n?\nFNOC Surface Ship\n10\nk\nm\nTD-1100 (obsolete NCDC)\n10\nk\nyes\nm\nExchange (HSST)\n1\n0.1 m (combined)\nTD-1129 (NCDC)\n10\nk\n(separate)\nyes\nTD-1171 (NCDC buoy)\n1\n0.1 k\nyes\nyes\nyes\n-\nLMR.5 (COADS)\n1\n0.1 m\nu/m\nyes\nCMR.4 (obsolete COADS)\nu/v\n0.1\nm\nyes\nm\nCMR.5 (COADS)\nu/v\nyes\nm\n* Fields and configurations are as follows:\nD = wind direction (degrees, or u/v for vector representation)\nW = wind speed (meters per second or knots, indicated by m or k)\nDI = direction indicator (indicates different compasses)\nWI = wind speed indicator (units and/or method, indicated by u or m)\nOI = original wind speed units indicator (units only; method from WI)\nAH = anemometer height\nAM = averaging method (scalar or vector)\nAP = averaging period\n** For buoys with dual anemometers (Gilhousen, 1987b), NDBC does not currently store\nin the archived data the actual anemometer height used; a nominal height is stored.\n29","Scalar wind (m/s)\nSLP (mb)\nSST (C)\nAT (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n5\n120K\n110K\n100K\n90K\n80K\n0\n70K\nScalar wind (m/s)\nSLP (mb)\nSST (C)\nAT (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n5\n50K\n40K\n30K\n20K\n10K\n0\nOK\nScalar wind (m/s)\nSLP (mb)\nAT (C)\nSST (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n5\n50K\n40K\n30K\n20K\n10K\n0\nOK\nScalar wind (m/s)\nSLP (mb)\nAT (C)\nSST (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n5\n50K\n40K\n30K\n20K\n10K\nO\nOK\nFigure 1. Trimming performance. (a) Distribution of FNOC observations (subject to\ntrimming, in thousands) by platform type and variable (left scale; three open bars) with\nnumber trimmed (rejected) at the 3.50 level hatched, and average percentage trimmed (right\nscale; closed bar). Note that for ship data, the left-hand scale is not zero-based.\n30","SST (C)\nAT (C)\nScalar wind (m/s)\nSLP (mb)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n120K\n5\n110K\n100K\n90K\n80K\n70K\n0\nSST (°C)\nAT (C)\nScalar wind (m/s)\nSLP (mb)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n50K\n5\n40K\n30K\n20K\n10K\nOK\n0\nSST (C)\nAT (C)\nScalar wind (m/s)\nSLP (mb)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg\n50K\n5\n40K\n30K\n20K\n10K\nOK\n0\nSST (C)\nAT (C)\nScalar wind (m/s)\nSLP (mb)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n50K\n5\n40K\n30K\n20K\n10K\nOK\n0\nFigure 1. Trimming performance (continued). (b) Distribution of NMC observations\n(subject to trimming, in thousands) by platform type and variable (left scale; three open\nbars) with number trimmed (rejected) at the 3.50 level hatched, and average percentage\ntrimmed (right scale; closed bar). Note that for ship data, the left-hand scale is not zero-\nbased.\n31","FNOC (call sign)\nNMC (call sign)\nFNOC\nNMC\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n150K\n20\n140K\n15\n130K\n120K\n10\n110K\n5\n100K\n90K\n0\nFNOC (call sign)\nNMC (call sign)\nFNOC\nNMC\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n60K\n20\nof\n50K\n15\n40K\n30K\n10\n20K\n5\n10K\nOK\n0\nFNOC (call sign)\nNMC (call sign)\nFNOC\nNMC\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n60K\n20\nof\n50K\n15\n40K\n30K\n10\n20K\n5\n10K\nOK\n0\nFNOC (call sign)\nNMC (call sign)\nFNOC\nNMC\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n60K\n20\nof\n50K\n15\n40K\n30K\n10\n20K\n5\n10K\nOK\nO\nFigure 2. Duplicate elimination. Distribution of FNOC and NMC reports (subject to\nduplicate elimination, in thousands) by platform type (left scale; three open bars) with\nnumber eliminated hatched, and average percentage eliminated (right scale; closed bar).\nFor June only, results are also shown from a test requiring that call signs match, in addition\nto the stated duplicate elimination rules. Note that for ship data, the left-hand scale is not\nzero-based.\n32","SST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n50%\n1\n0\n0\n0\n0\n25%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\nL\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n9\n1\n0\n0\n0\nO\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n2%\n-1\n-1\n-2\n-1\n-1\n0%\nFigure 3. Global differences: NMC trimmed minus untrimmed (left scale; three open\nbars), and average percentage of global possible (ocean plus coastal) boxes (right scale;\nclosed bar).\n33","U wind (m/s)\nV wind (m/s) Total cloud (okta)\nQ (g/kg)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n50%\n1\n1\n1\n1\n25%\n0\n0\n0\n0\n0%\n-1\n-1\n-1\n-1\nFigure 3 (continued).\n34","SST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\nI\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec\nJun Avg %\nDec\nJun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nFigure 4. Global differences: NMC ships minus other platforms (left scale; three open\nbars), and average percentage of global possible (ocean plus coastal) boxes (right scale;\nclosed bar).\n35","SLP (mb)\nScalar wind (m/s)\nSST (C)\nAT (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n4%\n1\n2\n1\n1\n1\n2%\n0\n0\n0\n0\n-1\nI\n-2\n0%\n-1\n-1\n-1\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nSST (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n4%\n1\n1\n1\n2\n1\n2%\n0\n0\n0\nO\n-1\n-2\n0%\n-1\n-1\n-1\nSLP (mb)\nScalar wind (m/s)\nSST (C)\nAT (C)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec\nJun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n2%\n0\n0\n-1\nI\n-2\n0%\n-1\n-1\n-1\nFigure 5. Global differences: NMC ships minus other platforms (daytime) (left scale;\nthree open bars), and average percentage of global possible (ocean plus coastal) boxes\n(right scale; closed bar).\n36","SST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n2%\n-1\nI-2\n-1\n-1\n-1\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar\nwind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec\nJun\nAvg\n%\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec\nJun\nAvg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nFigure 6. Global differences: NMC ships minus other platforms (nighttime) (left scale;\nthree open bars), and average percentage of global possible (ocean plus coastal) boxes\n(right scale; closed bar).\n37","FNOC (daytime) FNOC (nighttime) NMC (daytime) NMC (nighttime)\nAvgDec Jun AvgDec Jun Avg\nDec Jun Avg\nDec Jun\n80K\n60K\n40K\n20K\nOK\nFNOC (daytime) FNOC (nighttime) NMC (daytime) NMC (nighttime)\nDec Jun Avg\nDec Jun Avg\nDec Jun Avg\nDec Jun Avg\n15K\n10K\n5K\nOK\nFNOC (daytime) FNOC (nighttime) NMC (daytime) NMC (nighttime)\nDec Jun Avg\nDec Jun Avg\nDec Jun Avg\nDec Jun Avg\n30K\n20K\n10K\nOK\nFNOC (daytime) FNOC (nighttime) NMC (daytime) NMC (nighttime)\nDec Jun Avg\nDec Jun Avg\nDec Jun Avg\nDec Jun Avg\n10K\n5K\nOK\nFigure 7. Number of reports: Daytime versus nighttime. Counts were not processed for\nFNOC data.\n38","SST (C)\nAT (C)\nSLP (mb)\nScalan wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n50%\n1\n0\n0\n0\nO\n25%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\nI\n-2\n-1\n-1\n-1\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\nO\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\nI -1\n-1\n-2\n-1\n0%\nFigure 8. Global differences: NMC daytime minus nighttime (left scale; three open bars),\nand average percentage of global possible (ocean plus coastal) boxes (right scale; closed\nbar).\n39","V wind (m/s) Total cloud (okta)\nU wind (m/s)\nQ (g/kg)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n50%\n1\n1\n1\n1\n25%\n0\n0\n0\n0\n0%\n-1\n-1\n-1\n-1\nFigure 8 (continued).\n40","SST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n50%\n1\n0\n0\n0\n0\n25%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n0\n2%\n-1\nI-2\n-1\n-1\n-1\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nSST (C)\nAT (C)\nSLP (mb)\nScalar wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n1\n1\n1\n2\n4%\n1\n0\n0\n0\n2%\n-1\n-1\n-1\n-1\n-2\n0%\nFigure 9. Global differences: FNOC minus NMC (left scale; three open bars), and\naverage percentage of global possible (ocean plus coastal) boxes (right scale; closed bar).\n41","V wind (m/s) Total cloud (okta)\nQ (g/kg)\nU wind (m/s)\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\nDec Jun Avg %\n50%\n1\n1\n1\n1\n25%\n0\n0\n0\n0\n0%\n-1\n-1\n-1\n-1\nFigure 9 (continued).\n42","Supplement: Anemometer height effects in ship/buoy wind discrepancies?\nby Uwe Radok\n1. Introduction\nMonthly averages of marine wind observations conceal a variability with multiple sources.\nApart from the averaging procedure itself (giving either vector or scalar means that will\ndiffer substantially except in regions of high directional persistence) they include different\nobservational frequencies (ranging from once a second on some moored buoys to generally\n4 times a day on ships of opportunity), the location in the region considered and the timing\nin the month of infrequent observations, and the height and exposure of the anemometers.\nWhile most of these factors can be and have been studied with selected data obtained in\nwell-defined conditions, the relative importance and effects of the factors listed above are in\ngeneral not known when it comes to updating large marine datasets such as COADS.\nThe best that can be hoped for in that context would be broad adjustments to be applied to\ndata from firmly identified sources and for effects arising from physically defined factors.\nThe principal of these factors is the anemometer height, which in principle could be allowed\nfor with the help of boundary layer models. In practice, however, the anemometer height\nis often unknown; it can range from zero (for wind estimates based on the state of the sea)\nthrough approximately 1 m for drifting buoys to 3.7 through 13.8 m for U.S. moored\nbuoys to much larger larger heights for C-MAN installations and large ships, both of which\npresumably have greater anemometer exposure problems than buoys. The first question\nthat needs to be addressed therefore is whether height effects can in fact be demonstrated\nfor data of the quality available for the construction of large marine datasets. That question\nis explored here with samples from the December 1986 and June 1988 NMC data and with\nanother sample drawn from the extensive ship-buoy data comparison reported by Earle\n(1985, 1987).\n2. Background\nThe current understanding of vertical changes in wind velocity over the ocean has been\nreviewed by Liu et al. (1979) and Smith (1988), amongst many others. The wind speed\nprofile had the general form\n43","(1)\nVz=uxf(z,L)\n= shear stress; p = density) is the shear velocity and represents the\nwhere\nprofile slope, and L is a measure of stability. The function f in general combines\nlogarithmic and linear terms involving a roughness parameter ZO and the height Z scaled\nwith the Monin-Obukhov length L.\nIt follows from (1) that the difference of wind speed at two levels will depend mainly on U*\nand hence on the wind speed itself. By contrast, U* is eliminated from the speed ratio R =\nV1/V2, which depends primarily on z0. In the simplest case of a strictly logarithmic\nprofile,\n(2)\nR =\nindependently of wind speed if ZO is constant or changes only a little with wind speed.\nThis suggests that the effects of anemometer height might become apparent in first\napproximation from an analysis of wind speed ratios. We therefore examine such ratios for\nobservations for which at least the buoy anemometer height hb and preferably also the ship\nanemometer height hs have been recorded.\n3. A data search for anemometer height effects\nThe monthly summaries of NMC scalar wind for December 1986 and June 1988 provided\na number of 2° boxes, each known to contain a single moored buoy of known anemometer\nheight, and a small number of 2° boxes with drifting buoys. Table S1 provides a statistical\nsummary of the information extracted from the mean ship and buoy wind speeds for each\nbox. Similar calculations were carried out for a sample of the results reported by Earle\n(1985) in his tables B.1 and C.1. The first of these gave average ship-buoy wind speed\ndifferences for different speed ranges and for a large number of ships and buoys. The\nsecond of Earle's tables contained the corresponding information for five individual buoys\nand nearby ships with known anemometer heights, which enabled the ship winds to be\nreduced to a common level (10 m) by means of boundary layer models (Liu et al., 1979).\nCloser inspection shows, however, that only one of the buoys had its anemometer at 10 m\nwhile two others (one of them in the Great Lakes and thus of secondary interest) operated\nanemometers at (nominally) the 5-m level. This provided the comparisons in Table S2\nwhere wind speed ratios were computed from weighted means using the midpoints of\nEarle's speed ranges.\n44","4. Discussion\nThe mean speed ratios in Tables S1 and S2, irrespective of how calculated, in almost all\ncases exceed unity, as would be expected for ship anemometers higher than those operated\non buoys. The ratios for the three moored buoy anemometer heights in Table S1 have the\nmagnitude sequence one would expect, at least in the 2-month means, although they are\ncloser together in magnitude than predicted by profile theory for reasonable values of 20.\nThe speed ratios for the drifting buoys have similar magnitudes for one of the two months\nbut seem too small considering that their anemometers operate presumably well below the\n5-m level; the second month's data will be shown below to be somewhat analogous. In all\ncases the mode of calculation (using logarithms of the individual ratios or arithmetic mean\nwind speeds, respectively) appears to make no major difference, and the 2-month\ncorrelations between the ship and buoy wind speeds range from 0.6 to 0.8.\nDoubts about a significant height effect are further strengthened by Table S2. The\nreduction of the ship winds to the 10-m level has left a wind speed ratio for the 10-m buoy\nanemometer that should be small but is even larger than that obtained from the same\ncalculation for the 5-m buoy anemometer. The Great Lakes buoy winds (not shown) have\neven larger discrepancies from the (10-m) ship winds. On the other hand, the combined\ndata result in a mean ratio that is similar to those in Table S1.\nIt is finally of interest to consider the frequency distributions of the (logarithmic) speed\nratios in Table S1. When they are plotted in a coordinate system that turns a cumulative\nGaussian distribution into a straight line, much the same degree of approximation to that\nshape is obtained for the different anemometer heights, suggesting the action of multiple\nrandom causes rather than dominance of an anemometer height effect. The drifter data for\nJune 1988 are clearly anomalous (probably due to a single defective anemometer on a buoy\nnear 37°N, 137°W).\n5. Conclusion\nThe exploratory analysis presented here suggests that the discrepancies between buoy and\nship winds result not from a single dominant cause such as anemometer height differences\nbut from the many differences between the two data sources. Gilhousen (1987b) found the\nbuoy winds to be reasonably self-consistent; that suggests that the positive bias of the ship\nwinds may be primarily due to exposure problems. This would suggest in turn a need for\n45","ship anemometers to be calibrated individually and in situ. Radok and Steiner (1984)\ndescribed a simple and effective method for this; it involved measuring relative winds over\na closed triangular course. For a small ship (describing such triangles for ocean current\nmeasurements) they found that weak winds were underestimated and strong winds\noverestimated. It would be interesting to have this simple experiment carried out for a\nnumber of ships, as a first step toward calibrated wind reports. In the meantime the only\nsolution for the ship/buoy wind dilemma seems to be keeping data from the two sources\nseparate, at any rate for climate change considerations.\n46","Table S1. Mean ship/buoy wind speed ratios, NMC data,\n(a) moored buoys and (b) drifting buoys.\n(a) Moored buoys\nDecember 1986\nAnemometer height hb(m)\n5\n10\n13.8\nn = no. of squares\n17\n8\n3\n10logR\n1.31\n1.21\n1.17\n+/- Omean\n1.31/1.25\n1.34/1.10\n1.19/1.15\nVs/Vb\n1.26\n1.50\n1.00\nr(Vs, Vb)\n0.44\n0.50\n0.54\nJune 1988\nAnemometer height hb(m)\n5\n10\n13.8\nn = no. of squares\n16\n7\n4\n10logR\n1.22\n1.29\n0.99\n+/- mean\n1.28/1.16\n1.35/1.23\n1.12/0.88\nVs/Vb\n1.31\n1.16\n1.17\nr(Vs, Vb)\n0.67\n0.78\n0.98\nTwo months\nAnemometer height hb(m)\n5\n10\n13.8\nn = no. of squares\n33\n15\n7\n10logR\n1.27\n1.25\n1.06\n+/- Omean\n1.32/1.23\n1.32/1.18\n1.14/0.99\nVs/Vb\n1.26\n1.30\n1.09\nr(Vs , Vb)\n0.71\n0.65\n0.85\n(b) Drifting buoys\nDecember 1986\nJune 1988\nn = no. of squares\n12\n9\n10logR\n1.28\n1.83\n+/- Omean\n1.40/1.17\n2.38/1.40\nVs/Vb\n1.37\n1.40\nr(Vs, Vb)\n0.69\n-0.10\n47","Table S2. Ship/buoy wind speed ratios derived from Earle's (1985) data.\nVs/Vb\nhb(m)\nn\n1.274\n62,898\nAll ships and buoys\n-\n1.226\nBuoy # 42003 (Gulf of Mexico, 25°N, 85.9°W)\n107\n10\n5\n1.157\nBuoy # 41002 (Atlantic, 32.2°N, 35.3°W)\n99\nNote: Vs was reduced to the 10m level following Liu et al. (1979). Single buoy wind observa-\ntions exceeding 30 kt were disregarded for both buoys 42003 and 41002.\n48","Appendix A. Trimming performance\nFor the FNOC and NMC datasets, trimming flags were set in the CMR format to indicate\nhow data compared to the 2.80 or 3.50 (1950-79 based) trimming limits. 1 Tables Ala-\nA8b list details of trimming performance, i.e., response to trimming, at the 3.50 level\n(FNOC/NMC):\nTable A1a/b: December 1986, ships\nTable A2a/b: June 1988, ships\nTable A3a/b: December 1986, moored buoys\nTable A4a/b: June 1988, moored buoys\nTable A5a/b: December 1986, drifting buoys\nTable A6a/b: June 1988, drifting buoys\nTable A7a/b: December 1986, C-MAN\nTable A8a/b: June 1988, C-MAN\nTables are not included for the combined and miscellaneous files. Although trimming flags\nwere actually set in CMR format before duplicate elimination, trimming performance is\nsummarized here after duplicate elimination to avoid results biased by the presence of\nduplicates.\nEach table begins with a count of the number of observations input to trimming for five\nvariables: sea surface temperature (S), air temperature (A), wind (W), 2 sea level pressure\n(P), and relative humidity (R). 3 The input observations are subdivided according to the\ncharacteristics of the applicable 2° boxes: land boxes (landlocked), boxes without trimming\nlimits (limits missing), or boxes with trimming limits (subject to trimming). The\nobservations subject to trimming are further subdivided according to whether they were\ntrimmed or accepted (within the 3.50 limits); the percentage trimmed is with respect to the\nnumber of observations subject to trimming.\nEach table continues with a count of the number of reports (CMR) input to trimming, and\nthe number and percentage of those landlocked. Finally, the 2° box portion of the tables\ngives counts, as with the observations, for the number of extant 2° boxes in each category\n(i.e., with at least one observation).\n1 In addition to missing, each flag may assume one of the following values:\n0 = within the 2.80 limits\n1 = outside the 2.80 limits, but still within the 3.50 limits\n2 = outside the 3.50 limits\n2 The wind vector is represented in CMR by an eastward (u) and northward (v) component\n(cf., Table 6). In trimming, the wind flag is set at the maximum (worst) flag value found\nin separate tests of u and V.\n3 Relative humidity does not appear directly in CMR, but depends on A and dew point\ndepression (DP). Only if A survived trimming and DP was extant could R be computed,\notherwise the R flag was set to missing. If A and DP were extant, the R input counter (and\nlandlocked counter, if applicable) was incremented. If A was trimmed, the R limits-\nmissing counter was incremented.\n49","Table Ala. Trimming performance, December 1986, FNOC ships.\nObservation summary\nS\nA\nW\nP\nR\n92503\n58406\nInput:\n79735\n96795\n96350\n764\n691\n344\nLandlocked\n607\n716\nLimits missing\n214\n454\n455\n361\n1294\n56768\nSubject to trimming:\n78914\n95625\n95131\n91451\nTrimmed\n3298\n2302\n2142\n1582\n421\n56347\nAccepted\n75616\n93323\n92989\n89869\n4.18%\n% Trimmed:\n2.41%\n2.25%\n1.73%\n.74%\nReport summary\n99081\nInput:\nLandlocked\n828\n% Landlocked\n.84%\n2° box summary\nS\nA\nW\nP\n6886\n6634\n6911\n6916\nInput:\n433\n434\n421\nLandlocked\n379\nLimits missing\n111\n141\n136\n137\nSubject to trimming:\n6144\n6337\n6346\n6328\n122\nTrimmed\n181\n141\n130\n6196\n6216\n6206\nAccepted\n5963\nTable A1b. Trimming performance, December 1986, NMC ships.\nP\nR\nObservation summary\nS\nA\nW\n88122\n53112\n74077\n91120\n90347\nInput:\n716\n335\nLandlocked\n594\n769\n747\n337\n1185\nLimits missing\n172\n457\n449\n89151\n87069\n51592\nSubject to trimming:\n73311\n89894\n2337\n1413\n380\nTrimmed\n3005\n2493\n86814\n85656\n51212\nAccepted\n70306\n87401\n2.62%\n1.62%\n.74%\n% Trimmed:\n4.10%\n2.77%\nReport summary\n92923\nInput:\nLandlocked\n811\n% Landlocked\n.87%\n2° box summary\nP\nS\nA\nW\n6373\n6817\n6811\n6760\nInput:\n437\n414\nLandlocked\n372\n430\nLimits missing\n69\n139\n131\n129\n6217\nSubject to trimming:\n5932\n6248\n6243\nTrimmed\n179\n167\n144\n109\n6099\n6108\nAccepted\n5753\n6081\n50","Table A2a. Trimming performance, June 1988, FNOC ships.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n99967\n120517\n119371\n113347\n63144\nLandlocked\n715\n951\n941\n809\n303\nLimits missing\n442\n880\n742\n754\n1390\nSubject to trimming:\n98810\n118686\n117688\n111784\n61451\nTrimmed\n3337\n3157\n2596\n1835\n418\nAccepted\n95473\n115529\n115092\n109949\n61033\n% Trimmed:\n3.38%\n2.66%\n2.21%\n1.64%\n.68%\nReport summary\nInput:\n122869\nLandlocked\n1006\n% Landlocked\n.82%\n2° box summary\nS\nA\nW\nP\nInput:\n6677\n6979\n6954\n6929\nLandlocked\n534\n625\n624\n600\nLimits missing\n249\n291\n259\n276\nSubject to trimming:\n5894\n6063\n6071\n6053\nTrimmed\n185\n111\n123\n81\nAccepted\n5709\n5952\n5948\n5972\nTable A2b. Trimming performance, June 1988, NMC ships.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n91294\n108254\n107074\n103839\n53900\nLandlocked\n691\n866\n874\n815\n251\nLimits missing\n396\n816\n678\n698\n1182\nSubject to trimming:\n90207\n106572\n105522\n102326\n52467\nTrimmed\n3018\n3075\n2714\n1688\n328\nAccepted\n87189\n103497\n102808\n100638\n52139\n% Trimmed:\n3.35%\n2.89%\n2.57%\n1.65%\n.63%\nReport summary\nInput:\n110117\nLandlocked\n916\n% Landlocked\n.83%\n2° box summary\nS\nA\nW\nP\nInput:\n6429\n6764\n6744\n6723\nLandlocked\n501\n574\n582\n571\nLimits missing\n241\n280\n247\n263\nSubject to trimming:\n5687\n5910\n5915\n5889\nTrimmed\n178\n125\n127\n75\nAccepted\n5509\n5785\n5788\n5814\n51","Table A3a. Trimming performance, December 1986, FNOC moored buoys.\nP\nR\nObservation summary\nS\nA\nW\n29490\n3023\n26689\n29788\n26528\nInput:\n3\n3\n2\nLandlocked\n3\n2\n1\n636\n4\nLimits missing\n1\n636\n3017\nSubject to trimming:\n26685\n29150\n26524\n28851\n0\n146\n33\n6\nTrimmed\n310\n3017\n26375\n29004\n26491\n28845\nAccepted\n% Trimmed:\n1.16%\n.50%\n.12%\n.02%\n.00%\nReport summary\n30250\nInput:\nLandlocked\n3\n% Landlocked\n.01%\n2° box summary\nS\nA\nW\nP\n68\n59\n68\n64\nInput:\n2\n3\n3\nLandlocked\n3\n3\n1\n3\nLimits missing\n1\n60\n62\nSubject to trimming:\n55\n63\n0\nTrimmed\n2\n1\n0\n53\n62\n60\n62\nAccepted\nTable A3b. Trimming performance, December 1986, NMC moored buoys.\nP\nR\nObservation summary\nS\nA\nW\n12079\n1438\n10551\n11647\n10384\nInput:\n3\n2\nLandlocked\n3\n3\n2\n493\n1\nLimits missing\n1\n1\n1\n10381\n11583\n1435\nSubject to trimming:\n10547\n11643\n15\n13\n0\nTrimmed\n120\n140\n10366\n11570\n1435\nAccepted\n10427\n11503\n.14%\n.11%\n.00%\n% Trimmed:\n1.14%\n1.20%\nReport summary\n12373\nInput:\n3\nLandlocked\n% Landlocked\n.02%\nP\n2° box summary\nS\nA\nW\n71\n73\n69\n78\nInput:\n3\n3\n2\n3\nLandlocked\nLimits missing\n1\n1\n1\n3\n72\nSubject to trimming:\n67\n69\n66\nTrimmed\n2\n1\n0\n2\n65\n68\n66\n70\nAccepted\n52","Table A4a. Trimming performance, June 1988, FNOC moored buoys.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n33598\n40058\n38705\n40692\n6706\nLandlocked\n5\n9\n9\n8\n6\nLimits missing\n5\n778\n7\n778\n60\nSubject to trimming:\n33588\n39271\n38689\n39906\n6640\nTrimmed\n92\n135\n199\n58\n10\nAccepted\n33496\n39136\n38490\n39848\n6630\n% Trimmed:\n.27%\n.34%\n.51%\n.15%\n.15%\nReport summary\nInput:\n41865\nLandlocked\n9\n% Landlocked\n.02%\n2° box summary\nS\nA\nW\nP\nInput:\n86\n143\n137\n145\nLandlocked\n4\n8\n8\n7\nLimits missing\n2\n8\n4\n8\nSubject to trimming:\n80\n127\n125\n130\nTrimmed\n4\n3\n4\n1\nAccepted\n76\n124\n121\n129\nTable A4b. Trimming performance, June 1988, NMC moored buoys.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n13657\n16768\n15852\n17171\n3266\nLandlocked\n1\n2\n2\n2\n1\nLimits missing\n1\n544\n2\n544\n27\nSubject to trimming:\n13655\n16222\n15848\n16625\n3238\nTrimmed\n36\n69\n116\n50\n8\nAccepted\n13619\n16153\n15732\n16575\n3230\n% Trimmed:\n.26%\n.43%\n.73%\n.30%\n.25%\nReport summary\nInput:\n17699\nLandlocked\n2\n% Landlocked\n.01%\n2° box summary\nS\nA\nW\nP\nInput:\n107\n157\n153\n154\nLandlocked\n1\n2\n2\n2\nLimits missing\n1\n5\n2\n5\nSubject to trimming:\n105\n150\n149\n147\nTrimmed\n0\n2\n4\n1\nAccepted\n105\n148\n145\n146\n53","Table A5a. Trimming performance, December 1986, FNOC drifting buoys.\nP\nR\nObservation summary\nS\nA\nW\n43916\n168\n38805\n38089\n9296\nInput:\n26\n0\n1\nLandlocked\n21\n15\n4500\n7419\n0\nLimits missing\n3653\n5480\n168\nSubject to trimming:\n35131\n32594\n4795\n36471\n0\n2249\n467\n3158\nTrimmed\n2088\n168\n4328\n33313\n33043\n30345\nAccepted\n8.66%\n.00%\n5.94%\n6.90%\n9.74%\n% Trimmed:\nReport summary\n53188\nInput:\n35\nLandlocked\n.07%\n% Landlocked\nW\nP\n2° box summary\nS\nA\n761\n610\n682\n92\nInput:\n6\n8\n3\n1\nLandlocked\n26\n59\n31\n80\nLimits missing\n60\n675\nSubject to trimming:\n576\n620\n14\n19\n20\n0\nTrimmed\n557\n600\n60\n661\nAccepted\nTable A5b. Trimming performance, December 1986, NMC drifting buoys.\nP\nR\nS\nA\nW\nObservation summary\n40939\n170\n36422\n33928\n8609\nInput:\n21\n0\n18\n10\n1\nLandlocked\n6292\n0\n3525\n4489\n4087\nLimits missing\n4521\n34626\n170\nSubject to trimming:\n32879\n29429\n443\n3180\n0\n2017\n1993\nTrimmed\n4078\n31446\n170\n30862\n27436\nAccepted\n.00%\n9.80%\n9.18%\n6.13%\n6.77%\n% Trimmed:\nReport summary\n48801\nInput:\n27\nLandlocked\n.06%\n% Landlocked\nP\nS\nA\nW\n2° box summary\n619\n655\n94\n767\nInput:\n1\n5\n7\n2\nLandlocked\n30\n79\n25\n46\nLimits missing\n683\nSubject to trimming:\n587\n607\n63\n23\n12\n1\n11\nTrimmed\n62\n672\n564\n595\nAccepted\n54","Table A6a. Trimming performance, June 1988, FNOC drifting buoys.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n22093\n15654\n525\n20071\n14\nLandlocked\n0\n0\n0\n0\n0\nLimits missing\n3648\n4523\n0\n5095\n1\nSubject to trimming:\n18445\n11131\n525\n14976\n13\nTrimmed\n442\n166\n2\n342\n0\nAccepted\n18003\n10965\n523\n14634\n13\n% Trimmed:\n2.40%\n1.49%\n.38%\n2.28%\n.00%\nReport summary\nInput:\n24750\nLandlocked\n0\n% Landlocked\n.00%\n2° box summary\nS\nA\nW\nP\nInput:\n433\n312\n27\n367\nLandlocked\n0\n0\n0\n0\nLimits missing\n80\n98\n0\n113\nSubject to trimming:\n353\n214\n27\n254\nTrimmed\n6\n1\n2\n4\nAccepted\n347\n213\n25\n250\nTable A6b. Trimming performance, June 1988, NMC drifting buoys.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n21167\n14685\n371\n18605\n34\nLandlocked\n1\n0\n0\n0\n0\nLimits missing\n3837\n4243\n18\n5071\n1\nSubject to trimming\n17329\n10442\n353\n13534\n33\nTrimmed\n482\n200\n3\n365\n0\nAccepted\n16847\n10242\n350\n13169\n33\n% Trimmed:\n2.78%\n1.92%\n.85%\n2.70%\n.00%\nReport summary\nInput:\n23182\nLandlocked\n1\n% Landlocked\n.00%\n2° box summary\nS\nA\nW\nP\nInput:\n467\n333\n54\n387\nLandlocked\n1\n0\n0\n0\nLimits missing\n82\n98\n5\n111\nSubject to trimming:\n384\n235\n49\n276\nTrimmed\n5\n3\n2\n4\nAccepted\n379\n232\n47\n272\n55","Table A7a. Trimming performance, December 1986, FNOC C-MAN.\nP\nR\nObservation summary\nS\nA\nW\n23956\n0\n6753\n24850\n24849\nInput:\n0\n0\n0\nLandlocked\n0\n0\n707\n707\n0\nLimits missing\n0\n707\n0\nSubject to trimming:\n6753\n24143\n24142\n23249\n0\n33\n180\n14\nTrimmed\n503\n0\nAccepted\n6250\n24110\n23962\n23235\n.06%\n.00%\n% Trimmed:\n7.45%\n.14%\n.75%\nReport summary\n24851\nInput:\nLandlocked\n0\n% Landlocked\n.00%\n2° box summary\nS\nA\nW\nP\n35\n10\n35\n35\nInput:\n0\n0\n0\nLandlocked\n0\nLimits missing\n0\n1\n1\n1\n34\n34\nSubject to trimming:\n10\n34\n0\nTrimmed\n0\n0\n0\n34\n34\n34\nAccepted\n10\nTable A7b. Trimming performance, December 1986, NMC C-MAN.\nObservation summary\nS\nA\nW\nP\nR\n9267\n0\n3124\n9499\n9474\nInput:\n0\n0\nLandlocked\n0\n0\n0\n330\n0\nLimits missing\n0\n248\n247\n9227\n8937\n0\nSubject to trimming:\n3124\n9251\n73\n5\n0\nTrimmed\n216\n34\n9154\n8932\n0\nAccepted\n2908\n9217\n.00%\n.79%\n.06%\n% Trimmed:\n6.91%\n.37%\nReport summary\n9584\nInput:\nLandlocked\n0\n% Landlocked\n.00%\nP\n2° box summary\nS\nA\nW\n17\n42\n40\n46\nInput:\n0\n0\nLandlocked\n0\n0\n1\n4\nLimits missing\n0\n2\n42\nSubject to trimming:\n17\n40\n39\nTrimmed\n0\n0\n0\n0\n39\n42\nAccepted\n17\n40\n56","Table A8a. Trimming performance, June 1988, FNOC C-MAN.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n7473\n24470\n23981\n23971\n0\nLandlocked\n0\n0\n0\n0\n0\nLimits missing\n0\n0\n0\n0\n0\nSubject to trimming:\n7473\n24470\n23981\n23971\n0\nTrimmed\n38\n813\n176\n43\n0\nAccepted\n7435\n23657\n23805\n23928\n0\n% Trimmed:\n.51%\n3.32%\n.73%\n.18%\n.00%\nReport summary\nInput:\n24541\nLandlocked\n0\n% Landlocked\n.00%\n2° box summary\nS\nA\nW\nP\nInput:\n12\n37\n37\n37\nLandlocked\n0\n0\n0\n0\nLimits missing\n0\n0\n0\n0\nSubject to trimming:\n12\n37\n37\n37\nTrimmed\n0\n0\n0\n0\nAccepted\n12\n37\n37\n37\nTable A8b. Trimming performance, June 1988, NMC C-MAN.\nObservation summary\nS\nA\nW\nP\nR\nInput:\n3248\n9616\n9132\n9443\n0\nLandlocked\n0\n0\n0\n0\n0\nLimits missing\n0\n0\n0\n0\n0\nSubject to trimming:\n3248\n9616\n9132\n9443\n0\nTrimmed\n12\n284\n66\n15\n0\nAccepted\n3236\n9332\n9066\n9428\n0\n% Trimmed:\n.37%\n2.95%\n.72%\n.16%\n.00%\nReport summary\nInput:\n9642\nLandlocked\n0\n% Landlocked\n.00%\n2° box summary\nS\nA\nW\nP\nInput:\n14\n43\n44\n43\nLandlocked\n0\n0\n0\n0\nLimits missing\n0\n0\n0\n0\nSubject to trimming:\n14\n43\n44\n43\nTrimmed\n0\n0\n0\n0\nAccepted\n14\n43\n44\n43\n57","","Appendix B. Wind code consistency\nWind is typically reported from ships and other platform types with separate code fields for\nspeed and direction, and with special configurations set aside in the code definitions for\ncalm or variable winds. Thus the possibility exists for inconsistencies between the speed\nand direction fields, such as calm wind speed with non-calm direction. For the FNOC and\nNMC datasets, a consistency test was performed on the speed and direction fields\ncontained in each TD-1129 report (before duplicate elimination). The results of this test are\nsummarized separately for each dataset and platform type, in Table B1 for December 1986\nand in Table B2 for June 1988.\nIn TD-1129, the 2-digit code for wind direction can range from 0 (calm) through 36, with\nan additional possible code of 99. Codes 1-36 signify the direction from which the wind is\nblowing in 10° or larger intervals depending on the wind direction indicator (NCDC, 1989);\n99 signifies variable winds. Inconsistencies are possible (especially in older data) between\ndirection and direction indicators for other than the 36-point compass, but all direction\nindicators were found to be blank (36-point compass). Further inconsistencies may be\nexpected in other wind-related fields (cf., Table 6). The 3-digit code for wind speed can\nrange from 0 (calm) through 199; codes 1-199 signify wind speeds from 1 through 199\nknots. Furthermore, either the direction or speed field may contain blanks, signifying\nmissing data.\nIn the consistency test, the codes for wind speed and direction were compared in each\nreport. Tables B1 and B2 present these comparisons in matrix form; possibilities for\ndirection codes are listed horizontally, and for speed codes vertically, such that consistent\ncombinations for speed and direction generally lie along the diagonal (exceptions include\nextant speed with missing direction and vice versa). (Note: neither speeds greater than zero\nnor directions greater than 36 were checked for adherence to the above-stated coding\nranges.)\nExamples of inconsistencies revealed by Tables B1 and B2 are the absence of any calm\nwind directions in December NMC ship data (all of which were erroneously assigned a\ndirection code of 36), and numerous apparent inconsistencies among FNOC ship winds.\n59","Table B1. Number of FNOC and NMC TD-1129 reports containing specified wind codes,\nDecember 1986 (before duplicate elimination).\nNMC\nFNOC\nShips:\nDirection\nDirection\nSpeed\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\n3155\n0\n0\n0\n3155\nBlank\n797\n83\n1185\n68\n2133\n0\n1666\n0\n1666\nCalm\n65\n1877\n183\n16\n2141\n0\n0\n92061\n116309\n0\n0\n92061\n>0\n2401\n675\n112873\n360\nTotal\n3263\n2635\n114241\n444\n120583\n3155\n0\n93727\n0\n96882\nMoored buoys:\nDirection\nDirection\nSpeed\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n2531\n2531\n0\n0\n0\nBlank\n4177\n0\n6\n0\n4183\n20\n0\n310\n0\n783\n0\n290\nCalm\n0\n783\n0\n0\n10076\n0\n10076\n>0\n11\n0\n26430\n0\n26441\n0\n12917\n31407\n2531\n290\n10096\n0\nTotal\n4188\n783\n26436\n0\nDrifting buoys:\nDirection\nDirection\nSpeed\n>36\nTotal\nTotal\nBlank\nCalm\n>0\nBlank\nCalm\n>0\n>36\n629\n0\n45640\n560\n0\n46753\n44992\n19\nBlank\n46177\n16\n1242\n946\n0\n2602\n401\n1284\n965\n5\n2655\nCalm\n414\n0\n8474\n0\n8320\n390\n100\n7984\n>0\n411\n100\n7809\n1403\n9578\n5\n56769\nTotal\n47002\n1358\n9315\n0\n57675\n45783\nC-MAN:\nDirection\nDirection\nSpeed\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\n132\n3\n132\n0\n0\nO\nBlank\n3\n0\n0\n0\n0\n0\n237\nCalm\n0\n640\n0\n0\n640\n0\n237\n0\n9237\n0\n9237\n>0\n0\n0\n24210\n0\n24210\n0\n0\n9606\n24853\n132\n237\n9237\nTotal\n3\n640\n24210\n0\nMiscellaneous\nDirection\nDirection\nSpeed\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n0\n0\n52\nBlank\n32\n0\n27\n1\n60\n52\n0\n18\n0\n0\n18\n0\nCalm\n4\n16\n10\n0\n30\n7736\n0\n7736\n57\n63\n14493\n3\n14616\n0\n0\n>0\n0\n7754\n0\n7806\n79\n14530\n4\n14706\n52\nTotal\n93\n60","Table B2. Number of FNOC and NMC TD-1129 reports containing specified wind codes,\nJune 1988 (before duplicate elimination).\nFNOC\nNMC\nShips:\nSpeed\nDirection\nDirection\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\n1145\n235\n2305\n213\n3898\n3645\n0\n0\n0\n3645\nCalm\n134\n6273\n257\n5\n6669\n0\n4920\n0\n0\n4920\n>0\n3423\n779\n144646\n415\n149263\n0\n0\n106297\n0\n106297\nTotal\n4702\n7287\n147208\n633\n159830\n3645\n4920\n106297\nO\n114862\nMoored buoys:\nSpeed\nDirection\nDirection\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\n2944\n0\n26\n1\n2971\n1911\n0\n0\n0\n1911\nCalm\n4\n1171\n8\n0\n1183\n71\n471\n0\n0\n542\n>0\n301\n25\n41257\n2\n41585\n149\n0\n17231\n0\n17380\nTotal\n3249\n1196\n41291\n3\n45739\n2131\n471\n17231\n0\n19833\nDrifting buoys:\nSpeed\nDirection\nDirection\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\n25321\n3\n129\n0\n25453\n25886\n2\n98\n0\n25986\nCalm\n95\n26\n65\n0\n186\n65\n51\n0\n0\n116\n>0\n36\n0\n345\n0\n381\n25\n0\n303\n0\n328\nTotal\n25452\n29\n539\n0\n26020\n25976\n53\n401\n0\n26430\nC-MAN:\nSpeed\nDirection\nDirection\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\n560\n0\n0\n0\n560\n511\n0\n0\n0\n511\nCalm\n0\n736\n0\n0\n736\n0\n299\n0\n0\n299\n>0\n0\n0\n23245\n0\n23245\n0\n0\n8872\n0\n8872\nTotal\n560\n736\n23245\n0\n24541\n511\n299\n8872\n0\n9682\nMiscellaneous\nSpeed\nDirection\nDirection\nBlank\nCalm\n>0\n>36\nTotal\nBlank\nCalm\n>0\n>36\nTotal\nBlank\n81\n0\n21\n1\n103\n43\n0\n0\n0\n43\nCalm\n0\n45\n10\n0\n55\n0\n26\n0\n0\n26\n>0\n34\n140\n7733\n0\n7907\n0\n0\n3110\n0\n3110\nTotal\n115\n185\n7764\n1\n8065\n43\n26\n3110\n0\n3179\n61","","Appendix C. Duplicate examples\nExamples are given in this Appendix of duplicate reports among the NMC, FNOC,\nAutodin, and GWC datasets, using data from 1 December 1986. The assignment of\nindividual reports to decks according to dataset and platform type (cf., Table 1) is as\nfollows:\nPlatform\nDeck number assignments\nGWC\nFNOC\nAutodin\nNMC\nShips\n692\n792\n889\n892\nMoored buoys\n693\n793\n893\nDrifting buoys\n694\n794\n894\nC-MAN\n695\n795\n895\nMiscellaneous\n696\n796\n896\nTD-1129 reports for selected call signs have been extracted from each dataset and listed in\norder by hour (within 1 December 1986) and then by deck. Each group of reports with the\nsame hour then (ordinarily) constitutes the set of duplicates. Each such set may include\nduplicates across datasets (e.g., deck 692 matches deck 792) or within a dataset (e.g., deck\n792 matches deck 792).\nThe listings are equivalent to TD-1129, except positions 105-124 have been replaced by a\nsingle apostrophe; refer to Table C1 for a description of the column headings. Note that in\nGWC reports, percent signs (%) indicate fields that did not exist in the original GWC\nformat or were not translated, whereas blanks indicate missing fields (as in NMC data). In\ncontrast, FNOC reports have asterisks (*) to indicate missing fields, whereas blanks\nindicate fields that did not exist in the original FNOC format.\nAdditional listings of fields from the original NMC Office Note 124 format (referred to as\n\"ADP\") and GWC's original DATSAV2 format are also given in some cases to provide\nfurther information. Note that NMC ADP reports from hours 21 or greater have not been\nlisted due to a problem in interpreting the ADP hour field.\nDifferences of fields between apparent duplicate reports may stem from known problems in\nthe original FNOC and GWC formats:\nFNOC format: Both air and dew point temperatures were rounded to whole\ndegrees (at least air temperature was truncated prior to mid-1985). In addition,\nsome fields did not exist in the FNOC format. These include the temperature\nindicator, wave direction, wave period in code form (wave period in seconds\nappears in positions 101-102), and new 1982 codes such as the \"station/weather\nindicator,\" ix. The ix indicator is important for proper interpretation of missing\npresent weather since 1982, although for ship data missing present weather usually\nmeans no significant weather to report (i.e., the weather was good). Also missing\nwas the indicator for original wind speed units (m/s or knots); wind speeds\ntranslated from meters per second to knots were truncated, rather than rounded to\nthe nearest whole knot (rounding was employed at NMC and apparently also at\nGWC; Table C2 shows it would be possible to correct truncated FNOC winds to\nagree with rounded winds, except for the difficulty of identifying the truncated\nwinds). 1\n1 Wind speeds are reported in meters per second from the USSR and other, primarily\n\"eastern bloc,\" countries (WMO, 1974). Both FNOC and NMC multiply wind speeds in\n63","GWC format: ix was unavailable before August 1988 according to\ndocumentation. GWC temperatures were frequently 0.1°C higher than in NMC or\nFNOC data; this problem was apparently introduced by use of the constant 273.2 in\nconversion into kelvins in the GWC format, whereas 273.15 was used to convert\nback to degrees Celsius in TD-1129. Other major problems in the original GWC\nformat were the limitation of ship call signs to four characters and non-standard\nmoored buoy numbering (cf., Table 1).\nRelatively minor archival problems were noted in detailed examination of data in the\noriginal NMC ADP format and the TD-1129 format, which may also apply to other\nformats:\nPrecipitation indicator (iR): This indicator in the ADP format, which is not\nretained in TD-1129, generally for ships and moored buoys was set to 4 (precip\ndata not available), for drifting buoys to 9 (iR missing), and for C-MAN data\nfrequently assumed other values (1 = reported in Section 1 of the ADP format; 3 =\nprecip amount equals zero). However, a few (primarily Soviet) ships had iR values\nless than 4 (2 = reported in Section 3), as did OSV C and Soviet ice drift station\nEMIO. In order to obtain a larger sample, precip data were extracted from the ADP\nformat for 1-5 December 1986 (snow depth and 24-hour precip were always\nmissing). For C-MAN data, 6-hour precip amount was set to zero when iR = 3,\nand was non-zero and usually non-missing when iR= 1 (duration of observation\nwas usually 6 or 3). For other platform types, 6-hour precip and duration were\nmissing regardless of the value of iR, except in a couple of cases (e.g., call sign\nERET, hour=18, 4 December). Moreover, there seemed to be no category 8 values\n(undecoded precip). In the TD-1129 format, only OSV C and C-MAN data for 1\nDecember were checked: precip amount and duration, even when iR was 3, were\nalways blank.\nStation pressure: Soviet ice drift stations (call signs EMIO and ROBB in\nDecember 1986, assigned to deck 892, ship data) had both a station and sea level\npressure in ADP, of which only SLP has a field in TD-1129. One apparent ship\nreport (EREU) had only station pressure, which was lost in TD-1129.\nTables C3-C7 give duplicate examples for five different call signs; comments on each are as\nfollows:\nTable C3. WMFW (U.S. ship)\nSince this presumably is not a U.S. Navy or Coast Guard ship, it is unclear why\n\"declassified\" Autodin reports are included.\nTable C4. EMIO (Soviet ice drift station)\nwhole meters per second by 1.94; currently, however, FNOC truncates whereas NMC\nrounds to the nearest whole knot. For data with higher precision, it is useful to note the\ndifference between conversions with respect to the U.S. (1 m/s = 1.94254 kt) instead of\nthe international nautical mile (1 m/s = 1.9438445 kt). Over the range 0.1 102.2 m/s these\ntwo conversions agree to the nearest whole knot 93% of the time. The U.S. Departments\nof Commerce and Defense adopted the international nautical mile for reference on 1 July\n1954 (List, 1966; WMO, 1966), although NCDC conversions still employ the U.S.\nnautical mile.\n64","This station provides good examples of the FNOC wind speed truncation problem. In the\noriginal NMC format (not shown), both sea level and station pressure are recorded, as\nopposed to in TD-1129.\nTable C5. C7C (OSV C)\nThe latitude of OSV C appears as 52.7°N in NMC and FNOC, but 52.8°N in GWC based\non an original position of 52° 45' (45/60=0.75). There are cases of the middle and/or high\ncloud types (CM and CH) with \"_\" in NMC but missing in GWC and FNOC. The final\nportion of Table C5 shows that precipitation data exist in the original GWC format, as\nopposed to being missing in the original NMC format (precipitation fields not shown).\nTable C6. C7L (OSVL)\nBoth latitude and longitude differ significantly for OSV L in GWC, versus in NMC and\nFNOC (e.g., 57.0°N vs. 56.7°N; 20.0°W vs. 19.2°W), resulting in differences in 10° and\n1° Marsden Squares. 2 In this case the GWC minutes of latitude and longitude were zero.\nCM and CH sometimes differed, as in OSV C.\nTable C7. 15502 (drifting buoy)\nThe final portion of Table C7 for this drifting buoy contains the TD-1129 reports sorted by\nSLP and then deck. The GWC reports appear to be displaced forward in time from\notherwise matching FNOC or NMC reports by 1-5 hours.\nTable C1. TD-1129 field abbreviations used in Tables C3-C7, with column locations and a\nbrief description. Note that the abbreviations appear vertically or horizontally on the tables,\nand that some are re-used for different fields. See NCDC (1989) for field details.\nAbbreviation\nColumns\nDescription\nCD\n1-3\n\"card\" (or source) deck\nMSQ\n4-6\n10° Marsden square\nSS\n7-8\n1° Marsden subsquare\nQ\n9\nquadrant (1=NW, 2=NE, 3=SW, 4=SE)\nLAT\n10-12\nlatitude (°N or °S depending on Q)\nLONG\n13-16\nlongitude (°E or °W depending on Q)\nYEAR\n17-20\nyear\nMO\n21-22\nmonth\nDY\n23-24\nday\nHR\n25-26\nhour (UTC)\nDI\n27\nwind direction indicator\nD\n28-29\nwind direction (code)\nWI\n30\nwind speed indicator\nW\n31-33\nwind speed (knots)\nVI\n34\nvisibility indicator\nVB\n35-36\nvisibility (code)\n2 Reports for C-MAN GDIL1 (GDIL in GWC) had the same latitude and longitude in\nNMC and TD-1129 GWC (longitude off by 0.1° in FNOC), but differing Marsden Squares\ndue to the method of calculation at GWC from degrees and minutes.\n65","present weather (code)\nPW\n37-38\npast weather (code)\nW1\n39\nsea level pressure (0.1 mb)\nP\n40-44\nTI\n45\ntemperature indicator\nair temperature (0.1 °C)\nA\n46-49\nwet bulb temperature (0.1 °C)\nWB\n50-53\ndew point temperature (0.1 °C)\nDPT\n54-57\nsea surface temperature (0.1 °C\nS\n58-61\nC\n62\ntotal cloud amount (oktas)\nNH\n63\nlower cloud amount (oktas)\nCL\n64\nlow cloud type\nHI\n65\ncloud height indicator\nH\n66\ncloud height\nCM\n67\nmiddle cloud type\nCH\n68\nhigh cloud type\nwave direction (code)\nWD\n69-70\nwave period (code)\nWP\n71\nwave height (0.5 m)\nWH\n72-73\nSD\n74-75\nswell direction (code)\nswell period (code)\nSP\n76\nSH\n77-78\nswell height (0.5 m)\nCC\n79-80\ncountry code\nSD\n81\nship direction (code)\nSS\n82\nship speed (code)\nA\n83\nbarometric tendency (code)\namount of pressure change (0.1 mb)\nPPP\n84-86\nIA\n87\ntype of ice accretion on ship (code)\nIT\n88-89\nthickness of ice on ship (cm)\nrate of ice accretion (code)\nIR\n90\nCALL SIGN\n91-97\nship, OSV, or buoy call sign or number\nOW\n98\noriginal wind speed units indicator\nOT\n99\noriginal temperature units indicator\nbucket indicator (SST measurement method)\nBI\n100\nWP\n101-102\nwave period (s)\nSP\n103-104\nswell period (s)\n,\n105-124\n(positions omitted)*\nPO\n125\nQC flag: ship position\nQC flag: wind\nW\n126\nQC flag: visibility\nVB\n127\nPW\n128\nQC flag: present weather\nW1\n129\nQC flag: past weather\nP\n130\nQC flag: pressure\nA\n131\nQC flag: air temperature\nWB\n132\nQC flag: wet bulb temperature\nDP\n133\nQC flag: dew point temperature\nS\n134\nQC flag: sea surface temperature\nC\n135\nQC flag: cloud\nW\n136\nQC flag: wave\nS\n137\nQC flag: swell\nPP\n138\nQC flag: pressure tendency\nQC\n139-140\nQC code\nDATE\n141-144\nQC date: year (141-142), month (143-144)\nIW\n145\nIMMT indic. for wave measure. ('82 code)\nIP\n146\nIMMT indic. for obs. platform ('82 code)\n66","IQ\n147\nquality code indicator\nIX\n148\nstation/weather indicator (ix; '82 code)\n*\nPositions 105-124, replaced by a single apostrophe in the figures, contain the following:\n105\ndescription of ice type (prior to 1982), or\nconcentration of ice (new code 1982)\n106\neffect of the ice on navigation (prior to 1982), or\nstage of ice development (new code 1982)\n107\nbearing of principal ice edge from ship (prior to 1982), or\nice of land origin (new code 1982)\n108\ndistance to ice edge from ship (prior to 1982), or\nbearing of principal ice edge from ship (new code 1982)\n109\norientation of ice edge (prior to 1982), or\nsituation or trend\n110-111\namount of precipitation\n112-113\ntime period for precipitation amount\n114\nsignificant cloud amount\n115\nsignificant cloud type\n116-117\nsignificant cloud height\n118\nsecond (most significant) past weather\n119-120\nsecond swell direction\n121-122\nsecond swell period\n123-124\nsecond swell height\n67","Table C2. Comparisons of wind speeds translated from whole meters per second to whole\nknots using rounding versus truncation.\nm/s\nKnots Rounded Truncated\nm/s\nKnots Rounded Truncated\n51\n98.94\n99\n98\n1\n1.94\n2\n1\n52\n100.88\n101\n100\n2\n3.88\n4\n3\n53\n102.82\n103\n102\n3\n5.82\n6\n5\n104\n54\n104.76\n105\n4\n7.76\n8\n7\n55\n106.70\n107\n106\n9.70\n10\n9\n5\n56\n108.64\n109\n108\n6\n11.64\n12\n11\n110.58\n111\n110\n7\n13.58\n14\n13\n57\n113\n112\n15\n58\n112.52\n8\n15.52\n16\n114.46\n114\n114\n17\n59\n9\n17.46\n17\n116\n116\n19\n60\n116.40\n10\n19.40\n19\n118.34\n118\n118\n11\n21.34\n21\n21\n61\n120.28\n120\n120\n23\n62\n12\n23.28\n23\n122.22\n122\n122\n13\n25.22\n25\n25\n63\n64\n124.16\n124\n124\n27\n14\n27.16\n27\n65\n126.10\n126\n126\n15\n29.10\n29\n29\n66\n128.04\n128\n128\n31\n16\n31.04\n31\n129.98\n130\n129\n32\n67\n17\n32.98\n33\n132\n131\n34\n68\n131.92\n18\n34.92\n35\n133.86\n134\n133\n19\n36.86\n37\n36\n69\n136\n135\n38\n70\n135.80\n20\n38.80\n39\n137\n71\n137.74\n138\n21\n40.74\n41\n40\n140\n139\n42\n72\n139.68\n22\n42.68\n43\n73\n141.62\n142\n141\n23\n44.62\n45\n44\n144\n143\n46\n74\n143.56\n24\n46.56\n47\n145.50\n146\n145\n25\n48.50\n49\n48\n75\n76\n147.44\n147\n147\n50\n26\n50.44\n50\n149\n77\n149.38\n149\n27\n52.38\n52\n52\n78\n151.32\n151\n151\n28\n54.32\n54\n54\n153\n79\n153.26\n153\n29\n56.26\n56\n56\n80\n155.20\n155\n155\n58\n30\n58.20\n58\n81\n157.14\n157\n157\n31\n60.14\n60\n60\n159\n159\n62\n82\n159.08\n32\n62.08\n62\n161\n83\n161.02\n161\n33\n64.02\n64\n64\n162.96\n163\n162\n66\n65\n84\n34\n65.96\n164\n85\n164.90\n165\n35\n67.90\n68\n67\n86\n166.84\n167\n166\n36\n69.84\n70\n69\n168\n87\n168.78\n169\n37\n71.78\n72\n71\n171\n170\n73\n88\n170.72\n38\n73.72\n74\n172\n89\n172.66\n173\n39\n75.66\n76\n75\n174.60\n175\n174\n40\n77.60\n78\n77\n90\n176\n91\n176.54\n177\n41\n79.54\n80\n79\n178\n178.48\n178\n42\n81.48\n81\n81\n92\n180\n93\n180.42\n180\n43\n83.42\n83\n83\n94\n182.36\n182\n182\n85.36\n85\n85\n44\n184\n95\n184.30\n184\n45\n87.30\n87\n87\n186.24\n186\n186\n46\n89.24\n89\n89\n96\n188.18\n188\n188\n91\n97\n47\n91.18\n91\n190.12\n190\n190\n93\n93\n98\n48\n93.12\n192\n99\n192.06\n192\n95.06\n95\n95\n49\n194.00\n194\n194\n97\n97\n100\n50\n97.00\n68","CD SS LAT YEAR DY I DI WIVB 1 PI A WB DPT S HLIHMHWDP SDP CCDSA AITR OOB SP'P VPW WD P DATEIIII WPQX\n0406'RRRJSRRRRQRRRR088704 432\n407'RRRJSRRRRQRRRR088704 432\n'RRRSSRRRRSASSS198704 32\n432\nSIGNWTIWP WBW1PABPSCWSPOC\nLAT LON W YR MO DY HR RWX D W VB PW W1 P REPORT\nTYPE\n522\n9999.9 7 CNCH ADP) STN-P 56+ 5 5** 5641120114603 CC 28.9 WWH 0114703 A SSH sign DPD 4.9 332030 833020 833015 WMFW SS C 7 99 PPPI H N 99 C L ICALL H 5 WMFW WMFW WMFW WMFW WMFW WMFW 99 M C 99 C H 11 11 1%% 11 999.9 04 S WP 99 WH 99 WMFW CALL\n792 69232883408307341986120118%100005%9803 +211758%%6 WMFW 1%%0407'\n88932883408307341986120118 100005 9803 101201+256+256+260+210758 56-1020114703 332030 WMFW 11\n792 69232872407107261986120106%090013%98 10110%+290%JJ7+241 7 % %YYYY YYYYY\n88932872407607221986120106 110013 9803 101201+289+256+240+210668 5641120114703\nTable C3. Reports from GWC, FNOC, Autodin, and NMC (TD-1129 and for call\n88932872407507211986120100 110013 9803 101031+267+237+220+210668\n408307341986120118 100005 9803*10120 +260 +260+210758\n407107261986120106 090013 98.**10110+290 +240****700\n-7.10 287.40 86 12 1 6.00 442 90. 13. 98999 99 1011.0\n89232872407107261986120106 090013 98 101101+289+254+240\n10120% YYYY\nMO HRD W V PWW T\nIII\nNMC ADP:\n69","567890123456789012345678\nWPQX\nDATEIIII\nRRRRRRRRRSRSSR098704 31\nRRRRRRRRRSRSSR098704 31\nRRRRRRRRRSRSSR098704 31\n31\nRRRRRRRRRSRSSR098704 31\nRRRRRRRRRSRSSR098704 31\nRRRRRRRRRSRSSR098704 31\nRRRRRRRRRSRSSR098704\n792 282116821986120121 140008 140007 97020102571-370-370-410 220 -30 C C C REPORT\nTYPE\n522\n522\n522\n522\n522\n522\nTable C4. CNCH CC WWH SSH SS PPPI ICALL OOB SP'P 'OWBW1PABPSCWSPQC VPW WD P\n82.10 NMC LAT ADP 191.70 LON W 86 YR MO 12 DY 1 0.00 HR RWX 170. D W 8. 97 VB PW 2 2 W1 0 0 1023.4 1022.1 1023.1 1021.8 -36.6 -38.2 4.0 4.1 2 2 0 2 0 0 9 9 3 3 0 0 999.9 999.9 99 99 99 99 EMIO EMIO\nCALL\nDPD C 0 9 0 999.9 99 99 EMIO\n191.70 86 86 12 12 1 1 9.00 6.00 1 1 1 160. 160. 10. 8. 97 97 2 0 1024.3 1024.0 1024.5 -36.4 -36.2 4.0 3.8 2 2 2 2 0 9 0 0 999.9 999.9 99 99 99 99 EMIO EMIO\n82.10 82.10 82.10 191.70 191.70 86 12 1 12.00 1 1 160. 160. 10. 8. 97 97 2 2 0 0 1025.0 1024.8 1024.7 -36.8 3.9 4.1 2 1 2 1 0 0 9 0 999.9 99 99 EMIO\nWH\nWP\nS\nMSQ Q LONG MO HRD W V PWW T WB DPT S HLIHMHWDP SDP CCDSA AITR EMIO SIGNWTIWP 2%%\n2%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n21\n21\n792 282116821986120121 140007 9702010257 9702010257 -370 -410****220 -410****220 930 #30 **2004 **2004 2004 EMIO EMIO 21\n21\n21\n21\n21\nH\nEMIO\nEMIO\nEMIO\nEMIO\n89292028282116831986120115 9702010253 -370 -410 110%%30%%%%% 930 **3003 3003 EMIO\nEMIO\nEMIO\n792 89292028282116831986120118 282116831986120118 160008 160007 97020102531-370-370-409 220% 110 930 2004 EMIO EMIO EMIO\nM\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nEMIO\nH\nL\n792 89292028282116831986120106 160010 220%%30%%%% 930 %YYYY **1009 1009\n1009\n3005\n**3005\n792 89292028282116831986120112 160010 97020102481-364-364-404 %YYYY 1002\n3005\n**1002\n**1002\n1002\n3003\n200%%01%%997 YYYYY 2012\n792 89292028282116831986120100 170008 97020102211-382-382-423 200 901 8003\n**2012\n2012\n**8003\n220%%30%9399. 93* / **3016 3016\n792 282116831986120106 160009 160009 9702010234 9702010234 -370 -370 -410****220 220 930 ******* **3016 3016\nN\nH\n%YYYY\nReports from GWC, FNOC, and NMC (TD-1129 and ADP) for call sign EMIO.\nA\n82.10 191.70 191.70 86 86 12 12 1 1 18.00 15.00 160. 8. 97 2 0 1025.3 1025.0 -37.0\n282116831986120115 282116831986120115 160007 160007 97+++10250 9702010250 -370 -370 -410 220 930 220 930\n930\n160008 220 930\n282116831986120112 160009 9702010248 -360 220 930\n220 930\n5**\nP STN-P\n-400****220\n69292028282116831986120100%170008%97020102214-382 CD -420\n282116831986120106 97020102341-366-366-406\n160008 97020102501-368-368-409\n692920282821168319861201093 282116831986120109 160007 9702010243 -360\nSS LAT YEAR DY I DI WIVB 1 PI A\n282116831986120100 170007 9702010221\nIII\n(SORTED BY HOUR)\n82.10\n792\n792\n792","WPQX\n32\nDATEIIII\n32\n32\n31\n31\nRRRRRRRRRRRBSR048704 31\n31\n13'RRRSSRRRRRASRR108704 32\n'KRRRRRRRRSRSSR118704 31\nRRRSSRRRRRRRSR098704 32\n'KRRRRRRRRRRSRR058704 31\n13 RRRSSRRRRRRSRR098704 32\nRRRRRRRRRRRRSR038704 31\nRRRRRRRRRRRRSR038704 31\n31\nRRRSSRRRRRRSRR098704\nRRRSSRRRRRRSRR098704\nRRRSSRRRRRRBRR078704\nRRRSSRRRRRRBSR108704\nRRRRRRRRRRRBSR048704\nRRRRRRRRRRRBSR048704\nRRRRRKRRRRRBSR068704\nRRRRRRRRRRRRSR038704\nRRRRRRRRRRRRSR038704\nOWBW1PABPSCWSPQC\nP\nWD\nTable C5. Reports from GWC (TD-1129 and selected original fields). FNOC, and NMC (TD-1129 and ADP) for call sign C7C.\nVPW\nSP'P\n13\nCD SS LAT YEAR DY I DI WIVB 1 PI A WB DPT S HLIHMHWDP SDP CCDSA AITR SIGNWTIWP\n2%%12\n12\n2%%11\n11\n21 11\n2%%11\n2%%12\n12\n12\n2%%12\n11\n11\n12\n2%%13\n13\n21 13\n2%%13\n13\nOOB\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n2%%\n21\n21\n21\n21\n21\n21\n21\n21\n21\n21\n21\n21\n21\n21\n21\nICALL\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\n123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890123\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nPPPI\n006014\n89618425152703551986120106 150006 98 101111+044+027+002+067500 904 24 06 006014\n007017\n007017\n008020\n008053\n89618425152703551986120103 120019 98 100581+048+035+018+068830 97412 0224 008053\n796 152703551986120104 120023 98***10031 +050 +020+068860 941 0424*06 008074\n69618425152803551986120105%120029%98 10017%+055%Jy+028+069880%77 . %X997008074\n008074\n008074\n%999%007073\n007073\n007073\n69618425152803551986120107%100033%9761609953%+05699J9+039+068847%%2 %yyyy %9993008078\n008078\n008078\n%XXXX008104\n008004\n008104\n%%%%% %XXXX008128\n008028\n008128\n69618425152803551986120110%100043%9707609829%+060%JX+044+067886% XX% %XXXX006124\n006024\n%XYXX006102\n006002\n006102\n006059\n006059\n14311 006059\n006042\n006042\n007040\n007040\n007040\n69618425152803551986120116%160035%9761609734%+076%7%+054+066867%2%%X008053\n008053\n008053\n007054\n69618425152803551986120115%170035%98 xxxxx. %%%%%007051\n007051\n007051\n%999%007054\n007047\n007047\n006041\n89618425152703551986120118 160039 7616097061+070+061+050+065867 42-16612 006041\n99997007047\n007038\nSS\nSSH\n**24*06\n152703551986120101 140007 98 10105 +040 +000+068600 901 **24*06\n24 06\n152703551986120102 150009 98 +10091 +040 +000+069600 901 **24*06\n0224*06\n152703551986120110 100042 9707609829 +060+040+066886 4** 13*****\n12*****\n*14311\n**14310\n89618425152703551986120113 140027 98 097871+081+064+045+066400 950 14310\n**14310\n**14310\n89618425152703551986120114 150033 98 097711+080+064+046+066640 934 14310\n10*****\n11*****\nWWH\n89618425152703551986120105 120029 98 100171+054+042+027+068880 97-12 06\n796 152703551986120105 120029 **10017 +050 +030+068880 97 06\n08\n89618425152703551986120106 100035 97616099851+055+045+033+068837 42-10 08\n152703551986120107 100032 9761609953 +060 +040+067847 42* 09\n89618425152703551986120107 100033 97616099531+055+047+038+067847 42-10 09\n10\n89618425152703551986120108 100037 96636099131+055+047+038+067867 42-10 10\n12\n89618425152703551986120109 100041 97616098571+057+049+038+06786 42-10 12\n89618425152703551986120111 110039 97616098111+060+055+049+066867 42-11512\n89618425152703551986120115 170035 98 097471+079+064+048+066855 57-17510\n89618425152703551986120116 160035 97616097341+075+065+053+065867 42-16611\n89618425152703551986120119 170041 8216096871+070+059+046+065885 5-17612\n%YYYY.\n13\nCC\n152703551986120100 150005 98 10111 +040 +000+067500 904\n152703551986120103 120019 ***10058 +050 +020+068830 974\n89618425152703551986120101 140008 98 101051+041+023-002+068600 901\n42*\n152703551986120108 100036 +040+067867 42*\n152703551986120109 100040 9761609857 +060 +040+067867 42*\n42*\n500\n500\n89618425152703551986120112 130033 98016097981+070+059+046+066552 500\n152703551986120113 140027 98***09787 - +050+066400 950\n152703551986120114 150032 B***09771 +080 +050+066640 934\n152703551986120114 150032 98***09771 +080 +050+066600 934\n152703551986120115 170034 98 09747 +080 +050+066855 57+\n152703551986120116 160034 9761609734 +080 +050+065867 42*\n42*\n42*\n152703551986120119 170040 9821609687 +070 +050+065885 5**\nCNCH\n15270355198612010 100034 9761609985 +030+068837\n152703551986120111 110038 9761609811 +060 +050+066867\n+050+066552\n89618435153703551986120112 130033 8016097981+070+059+046 552\n152703551986120120 160042 9721209679 +070+050+065885\n+050+065867\n152703551986120118 160038 9761609706 +070 +050+065867\n152703551986120112 130032 9801609798 +070\n152703551986120117 170034 9760609717 +080\nT\nPWW\n69618425152803551986120100%150006%98\n69618425152803551986120101%140008%98\n69618425152803551986120102%150010%98\n69618425152803551986120103%120019%98\n69618425152803551986120104%120023%98\n69618425152803551986120113%140027%98\n69618425152803551986120114%150033%98\nV\nW\nHRD\nMO\nLONG\nQ\nMSQ\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796","12345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234'567890123456789012345678\nWPQX\nDATEIIIII\nRRRRRRRRRRRBSR048704 31\nRRRRRRRRRRRBSR048704 31\nOWBW1PABPSCWSPQC\nREPORT\nTYPE\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\nP\nWD\nS WP WH CALL\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\n6.7 10 C7C\n6.7 99 12 C7C\nC7C\n6.6 99 99 C7C\n999.9 99 99 C7C\n6.6 99 99 C7C\n6.6 99 99 C7C\nC7C\nC7C\nC7C\n6.5 13 12 C7C\nVPW\n99\n99\n2\n6\n8\n9\n12\n10\n12\n11\nCNCH CC WWH SSH SS PPPI ICALL OOB SP'P\n99\n99\n6.8 99\n6.8 99\n6.8 99\n6.799\n12\n13\n11\n11\n6.7\n6.8\n6.6\n6.6\n6.5\n6.5\nSIGNWTIWP\n**\n12345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901\n2%%\n2%%\n2%%\n21\n21\nC\nH\n4\n4\n10\n10\n10\n10\n10\n10\n0\n0\n0\n4\n10\n10\n10\n10\n1\nC\nM\n0\n0\n7\n7\n2\n2\n2\n2\n2\n0\n0\n5\n3\n7\n2\n2\n10\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nC7C\nH\n9\n9\n9\n9\n4\n4\n4\n4\n4\n5\n5\n9\n9\n5\n4\n4\n5\nSS LAT YEAR DY I DI WIVB 1 PI A WB DPT S HLIHMHWDP SDP CCDSA AITR\nN C\nL\n0\n0\n0\n0\n7\n7\n7\n7\n7\n2\n2\n0\n0\n5\n7\n7\n5\n%XYX%007039\n007039\n007039\n%YYY%006020\n006020\n006020\n69618425152803551986120123%190043%9721209667%+071%JJ+047+067885%7 %XYX%006012\n006012\nH\n0\n0\n3\n8\n3\n4\n6\n6\n6\n5\n5\n0\n4\n5\n6\n6\n8\nC\n5\n6\n8\n8\n8\n8\n8\n8\n8\n5\n5\n4\n6\n8\n8\n8\n8\nGWC SELECTED ORIGINAL FIELDS: ID(AA=PRECIP; AG=BOGUS PRECIP, WITH DIF CODES)\nDPD\n4.2\n4.3\n3.0\n2.7\n2.2\n1.7\n1.7\n1.9\n2.4\n2.4\n3.6\n3.4\n2.2\n2.0\n2.4\n1.1\n3.1\n152703551986120121 190042 9707609667 +070 +050+065885 5** 13*****\n152703551986120122 190042 9707209667 +070 +050+066885 5** 13*****\n13*****\nTP(TIME PERIOD, HOURS ENDING AT OBS TIME)\n89618425152703551986120121 190043 97076096671+069+061+051+0658 5-19 13\n89618425152703551986120122 190043 97072096671+069+060+049+066885 5-19 13\nA\n4.4\n4.8\n5.4\n5.5\n5.5\n5.5\n5.7\n6.0\n7.0\n7.0\n8.0\n7.5\n7.0\n7.0\n4.1\n8.1\n7.9\nAA0600000999 AA9900000999 AG4999999999\nAA0600000999 AA9900000999 AG4999999999\nAA0600000999 AA9900000999 AG4000099999\nAA0600000999 AA9900000999 AG4999999999\nAA0600000999 AA9900000999 AG4000199999\nAA0600000999 AA9900000999 AG4999999999\nAA0600000999 AA9900000999 AG4000199999\nAA0600000999 AA9900000999 AG4000099999\n152703551986120123 190042 9721209667 +070 +050+066885 5**\nP STN-P\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n979.8 9999.9\n979.8 9999.9\n978.7 9999.9\n977.1 9999.9\n974.7 9999.9\n9999.9\n9999.9\n9999.9\nAMT-P(10THS MM, 99998=TRACE)\n1010.5\n1005.8\n1001.7\n998.5\n995.3\n991.3\n985.7\n973.4\n970.6\n968.7\n981.1\n1011.1\nAA9999998999 AG0000099999\nAA9900020999 AG0000199999\n99\n99\n99\n99\n6\n6\n6\n6\n6\n6\n6\n99\n99\n99\n6\n6\n6\nLON W YR MO DY HR RWX D W VB PW W1\n98999\n98999\n98999\n98999\n63\n98999\n98999\n98999\n61\n61\n61\n61\n1\n1\n61\n61\n21\n96\n97\n97\n98\n97\n97\n97\n97\n98\n98\nAG2000299999\nAG2999999999\nAG2999999999\nAG2000299999\nAG2999999999\nAG2999999999\nAG2999999999\nAG2999999999\nAG2000299999\nAG2999999999\nAG2999999999\nAG2000199999\nAG2999999999\nAG2999999999\nT\n6.\n8.\n19.\n29.\n35.\n33.\n37.\n41.\n39.\n33.\n33.\n27.\n33.\n35.\n35.\n39.\n41.\nPWW\n0.00212 150\n140.\n120.\n120.\n6.00 4 1 1 100.\n100.\n100.\n100.\n110.\n130.\n130.\n140.\n150.\n170.\n160.\n160.\n170.\nV\n1.00 3 1 2\n2\n2\n2\n2\n2\nIII\nCALL\nW\n98612010000+5245+03530C7C\n198612010100+5245+03530C7C\n198612010200+5245+03530C7C\n198612010300+5245+03530C7C\n198612010400+5245+03530C7C\n198612010500+5245+03530C7C\n198612010600+5245+03530C7C\n198612010700+5245+03530C7C\n198612010800+5245+03530C7C\n198612010900+5245+03530C7C\n198612011000+5245+03530C7C\n198612011100+5245+03530C7C\n198612011200+5245+03530C7C\n198612011300+5245+03530C7C\n198612011400+5245+03530C7C\n198612011500+5245+03530C7C\n198612011600+5245+03530C7C\n198612011700+5245+03530C7C\n198612011800+5245+03530C7C\n198612011900+5245+03530C7C\n198612012100+5245+03530C7C\n198612012200+5245+03530C7C\n198612012300+5245+03530C7C\n198612012000+5245+03530C70\n5.00 3\nHRD\n3.00\n7.00\n8.00\n9.00\n11.00\n12.00\n12.00\n13.00\n14.00\n15.00\n16.00\n18.00\n19.00\nLON\nNMC ADP (SORTED BY HOUR)\nMO\n1\n1\nLAT\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n12\n12\n12\n12\n12\n12\n12\n35.50 86 12\n35.50 86 12\n12\n12\n35.50 86 12\n35.50 86 12\n35.50 86 12\n12\nTable C5 (continued)\nMN\nLONG\n86\n35.50 86\n86\n86\n86\n86\n86\n86\n86\n86\n86\n35.50 86\nHR\n35.50\n35.50\n35.50\n35.50\n35.50\n35.50\n35.50\n35.50\n35.50\n35.50\nDY\nMO\nQ\nYEAR\nMSQ\n52.70\n52.70\n52.70\n52.70\n52.70\n52.70\n52.70\n52.70\n52.70\n52.70\n53.70\n52.70\n52.70\n52.70\n52.70\n52.70\n52.70\nCD\n796\n796\n796\nLAT","WPQX\n12345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234'567890123456789012345678\nDATEIIII\n11 0309'RRRRRRRRRRRRRR008704 31\n31\n31\n0309'RRRRRRRRRRRRRR008704 31\n0309 'RRRRRRRRRRRRRR008704 31\n31\n11 0209'RRRRRRRRRRRRRR008704 31\n11 0209'RRRRRRRRRRRRRR008704 31\n0209 RRRRRRRRRRRRR008704 31\n0209 PRRRRRRRRRRRRRR008704 31\n0209 RRRRRRRRRRRRRR008704 31\n11 0209'RRRSSRRRRRRRRR068704 32\n11 0209 RRRSSRRRRRRRRR068704 32\n11 0309' RRRRRRRRRRRRRR008704\n0309 RRRRRRRRRRRRRR008704\nRRRRRRRRRRRRR008704\nRRRRRRRRRRRRR008704\nCD SS LAT YEAR DY I DI WIVB 1 PI A WB DPT S HLIHMHWDP SDP CCDSA AITR SIGNWTIWP 'OWBW1PABPSCWSPQC\nP\nWD\nVPW\nSP'P\n1%%0309'1\n1%%0309\n1%%0309\n1%%0309\n1%%0309'\n1%%0209'\n1%%0309\n1%%0309\n1%%0309\n1%%0209'\n0309\n1%%0309\n0309\n1%%0209\n1%%0209\n09\n1%%0209\n1%%0209\n1%\n1%%0209\n1%\n03\n03\n03\n03\n03\n03\n03\n03\n03\n03\n03\n02\n02\n02\n02\n02\n02\n02\n02\n02\nOOB\n11\n11\n11\n11\n11\n11\nICALL\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nPPPI\n796 156801941986120100 360012 9661610035 +060 +040+095867 32. 0224904 003015\n89618269156801941986120100 360012 96616100351+058+051+042+095867 32-3620224904 003015\n003029\n89618269156801941986120101 320013 96616100471+056+047+035+095857 32-3220224904 003029\n56801941986120102 290015 9661610053 +060 +030+095867 42* 0329904 001027\n156801941986120103 310021 9661610063 +050 +040+095885 4** 0429904 001028\n89618269156801941986120103 310021 96616100631+047+042+035+095885 I-3120429904 001028\n15680194198612010 320015 9780810079 +050 +030+095668 400 0329903 003032\n796 156801941986120105 320013 9680810094 +040 +030+095888 4** 0329903 003041\n89618269156801941986120105 320013 96808100941+043+036+026+095888 4-3220329903 003041\n796 156801941986120106 320012 9661810104 +030+095857 42* 0229903 001041\n89618269156801941986120106 320012 96618101041+042+037+030+09585 42-3220229903 001041\n796 156801941986120107 320011 9661610110 +050 +030+095857 42* 0229903 001031\n89618269156801941986120107 320011 96616101101+051+043+032+095857 42-3220229903 001031\n156801941986120109 270008 9701610127 +060 +020+095558 430 0230904 002023\n89618269156801941986120109 270008 97016101271+063+044+019+095558 4302720230904 002023\n002028\n156701921986120111 290006 9715010140 +060 +000+095338 430 0130904 001013\n89618269156701921986120111 290006 97150101401+063+038+003+09533 4302920130904 001013\n156701931986120112 310006 9725610147 +060 +020+096438 431 0130904 002020\n89618269156701931986120112 310006 97256101471+055+041+023+096438 4313120130904 002020\n156701931986120113 270002 9715010142 +060 +020+096329 451 0131904 000004\n89618269156701931986120113 270002 97150101421+056+041+022+09632 4512720131904 000004\n007013\n89618269156701931986120115 180009 97161101341+065+040+006+095731 4361820131904 007013\n796 156701931986120116 170008 9715210130 +060 +000+095738 438 0131904 007012\n89618269156701931986120116 170008 97152101301+064+038+002+095738 4381720131904 007012\n796 156701931986120111 150008 9715210123 +070 +000+095838 437 0131903 008014\n796 156701931986120118 150013 97***10115 +070 +010+095828 437 0131903 008019\n89618269156701931986120118 150013 97 101151+068+043+010+095828 4371520131903 008019\n008028\n89618269156801931986120119 150017 97 101021+074+051+021+095828 4371520131904 008028\n008036\nSS\nSSH\n0224904\n156801941986120108 310007 9621610117 +060 +020+095865 42* 0229904\n0230904\n**31904\n0131904\n0131904\n0131904\nTable C6. Reports from GWC, FNOC, and NMC (TD-1129 and ADP) for call sign C7L.\nWWH\n69618370157002001986120114%000000%9715010137%+062%XX+026+0974229731%\nCC\n69618370157002001986120101%320013%9661610047%+05799%+036+096857972\n156801941986120101 320013 9661610047 +040+095857 32*\n156701931986120116 270009 9715110138 +060 +010+095338 400\n436\n156701931986120114 000000 9715010137 +060 +030+096422 431\n156801931986120119 150017 97***10102 +070 +020+095828 437\n156801931986120120 140020 97 10087 +080 +010+095825 537\nCNCH\n69618370157002001986120104%320015%9780810079%+0479J7+029+096668%\n69618370157002001986120105%320013%9680810094%+044%JJJ+027+096888%\n+010+095731\n156701931986120115 180009 9716110134 +070\nT\nPWW\n69618370157002001986120118%150013%97\n69618370157002001986120119%150017%97\n69618370157002001986120120%140020%97\nV\nW\nHRD\nMO\nLONG\nQ\nMSQ\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796\n796","WPQX\n11 0209 RRRSSRRRRRRRRR068704 32\nMSQ Q LONG MO HRD W V PWW T CNCH CC WWH SSH SS PPPI ICALL OOB SP'P VPW WD P DATEIIII\n11 0209'RRRSSRRRRRRRRR068704 32\n345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234'567890123456789012345678\n12345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234'56789012345678901234567\nCD SS LAT YEAR DY I DI WIVB 1 PI A WB DPT S HLIHMHWDP SDP CCDSA AITR SIGNWTIWP OWBW1PABPSCWSPQC\nREPORT\nTYPE\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\n521\nS WP WH CALL\n9.5 3 2 C7L\n2 C7L\n4 C7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\n19.30 86 12 1 16.00 170. 8. 97 15 2 1013.0 9999.9 6.4 6.2 7 3 8 4 3 8 9.5 2 1 C7L\nC7L\nC7L\n3\n2\n2\n2\n1\n1\n1\n1\n1\n1\n3\n3\n3\n3\n3\n3\n2\n2\n2\n2\n2\n2\n1%%0209'\n1%%0209'\n1%%0209'\n9.5\n9.5\n9.5\n9.5\n9.5\n9.5\n9.5\n9.6\n9.6\n9.5\n9.5\n9.5\n02\n02\n02\nC\nH\n10\n10\n10\n10\n10\n10\n0\n0\n6\n7\n7\n1\n1\n10\nC\nM\n2\n10\n2\n2\n3\n3\n3\n5\n3\n3\n3\n69618370157002001986120121%140024%97 C7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nC7L\nH\n3\n3\n4\n4\n4\n4\n4\n4\n4\n4\n4\n4\n4\nC\nL\n7\n7\n5\n8\n7\n7\n8\n8\n8\n9\n8\n8\n1\n008044\n89618269156801941986120121 140024 97 100711+080+057+028+095825 5371420231904 008044\n008067\n156801941986120122 130026 97 ***10051 +080 +050+095835 537 0231904 008051\n89618269156801941986120122 130026 97 100511+080+064+046+095835 5371320231904 008051\nN\nH\n6\n5\n8\n8\n5\n5\n5\n3\n3\n2\n3\n2\n2\nC\n8\n8\n8\n8\n8\n8\n5\n3\n4\n3\n7\n8\n8\nDPD\n56.80 19.40 86 12 1 0.004 4 1 360. 12. 96 61 6 1003.5 9999.9 5.8 1.6\n1.2\n1.7\n1.2\n4.4\n6.0\n3.2\n3.4\n5.9\n5.8\n5.3\n2.1\n1.9\n156801941986120121 140024 97***10071 +080 +030+095825 537 0231904\n0231905\nA\n5.6\n4.7\n4.3\n4.2\n6.3\n6.3\n5.5\n5.6\n6.5\n6.8\n7.4\n5.1\n57+\nP STN-P\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n9999.9\n+040+096845\n1004.7\n1006.3\n1009.4\n1010.4\n1011.0\n1012.7\n1014.0\n1014.7\n1014.2\n1013.4\n1011.5\n1010.2\n6\n6\n8\n8\n6\n6\n0\n6\n0\n99\n99\nVB PW W1\n1\n97 25\n97 15\n9. 97 16\n97999\n97999\n96 61\n61\n96 61\n96 61\n1\n6. 97 15\n156801941986120123 130032 9760210220 +080\n96\n96\n97\n13.\n21.\n13.\n12.\n11.\n8.\n6.\n2.\n13.\n17.\nW\n1.00 44 1 320.\n3.004 4 1 310.\n5.004 4 1 320.\n6.004 4 1 320.\n7.0044 1 320\n9.0044 1 270.\n290.\n310.\n270.\n180.\n150.\n150.\nD\n69618370157002001986120122%130026%97\nRWX\nI\n1\n1\n1\n2\n442\n4\n12.00 4 4\nI\n11.00\n13.00\n15.00\n18.00\n19.00\nHR\nNMC ADP (SORTED BY HOUR) :\nLON W YR MO DY\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n12\n12\n86 12\n12\n12\n12\n12\n19.30 86 12\n19.30 86 12\n19.30 86 12\n19.30 86 12\n19.30 86 12\nTable C6 (continued)\n86\n86\n86\n86\n86\n86\n19.40\n19.40\n19.40\n19.40\n19.40\n19.40\n19.20\n56.80\n56.80\n56.80\n56.80\n56.80\n56.80\n56.70\n56.70\n56.70\n56.70\n56.70\n56.70\n56.80\n796\n796\n796\nLAT","WPQX\nDATEIIII\n1234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890 567890123456789012345678\n3\n3\n3\n3\n3\n3\nRSSSSRRSSRSSSS278704 3\n3\nRSSSSRRSSRSSSS278704 3\nKSSSSRSSSRSSSS328704 3\n3\nRSSSSRRSSRSSSS278704 3\nRSSSSRRSSRSSSS278704 3\nKSSSSRSSSRSSSS328704 3\n3\n12345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234'5678901234567890123450\nPKSSSSRSSSRSSSS328704\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nRSSSSRSSSRSSSS308704\nKSSSSRRSSRSSSS298704\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nOWBW1PABPSCWSPQC\nREPORT\nTYPE\n562\n562\n562\n562\n562\n562\n562\n562\n562\n562\n562\n562\n562\n562\nP\n17.3 99 99 15502\n17.3 99 99 15502\n17.3 99 99 15502\n18.4 99 99 15502\n17.1 99 99 15502\n17.3 99 99 15502\n17.3 99 99 15502\n17.5 99 99 15502\n17.6 99 99 15502\n17.6 99 99 15502\n17.7 99 99 15502\n17.7 99 99 15502\n19.77 9 9 9 999. 999. 999999 99 1023.1 9999.9 14.5 99.9 99 99 99 99 99 99 17.5 99 99 15502\nCNCH CC WWH SSH SS PPPI ICALL OOB SP'P VPW WD\n17.5 99 99 15502\nS WP WH CALL\nSIGNWTIWP\n%\n%\nTI.\nTI\n%\n7%\n%\n%\n%\n%\n%\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\nC\nDPD C H L H M H\n2.02 9 9 9 999. 999. 999999 99 1016.5 9999.9 999.9 99.9 99 99 99 99 99 99\n99\n3.78 9 9 9 999. 999. 999999 99 1017.0 9999.9 15.5 99.9 99 99 99 99 99 99\n99\n99\n99\n1 7.52 9 9 9 999. 999. 999999 99 1019.5 9999.9 15.0 99.9 99 99 99 99 99 99\n99\n99\n99\n16.23 9 9 9 999. 999. 999999 99 1021.3 9999.9 15.0 99.9 99 99 99 99 99 99\n99.9 99 99 99 99 99 99\n99\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\nC\n99\n99\n99\n99\n99\n99\n99\n99\n99\n4.85 9 9 999. 999. 999999 99 1013.8 9999.9 999.9 99.9 99 99 99 99\n5.42 9 999. 999. 999999 99 1018.0 9999.9 15.0 99.9 99 99 99 99\n5.77 9 9 999. 999. 999999 99 1018.1 9999.9 15.0 99.9 99 99 99 99\n99\nAITR\n14.50 9 9 9 999. 999. 999999 99 1021.7 9999.9 999.9 99.9 99 99 99 99\n99\n99\nN C\n99\n99\n99\n99\n2.05 9 9 9 999. 999. 999999 99 1016.5 9999.9 16.5 99.9 99 99\n99\n99\n99\nCCDSA\n99\n99\n99\nTITTY\n%YYYY.\n/\n.\n%\n%\n/\n%XYXX\n%YY%Y.\nTable C7. Reports from GWC, FNOC, and NMC (TD-1129 and ADP) for buoy number 15502.\n99.9\n99.9\n99.9\nSDP\n%YYYY.\n%\n/\n%YYYY\n%YYYY\n%YYYY\n%XXXX\n%%%%%\nA\n15.2\n15.0\n14.7\n999.9\nHLIHMHWDP\nP STN-P\n9999.9\n9999.9\n%\n9999.9\nTI.\n9999.9\n%\nTV.\n%\n%\nII.\n%\nTV.\n%%\n%\nS\n+176\n+173\n+173\n+173\n****+173\n+173\n+174\n+184\n+171\n*****173\n+173\n+174\n+174\n+173\n++173\n+175\n+175\n+172\n+174\n+176\n****176\n+176\n+176\n+177\n****+177\n+177\n+178\n+177\n+177\n+++++175\n+175\n+176\n+175\n+178\n+171\n+171\n1020.6\n1021.6\n1023.2\n1022.1\nWB DPT\n10165%+166%YT\n10170%+156%7T\n10181%+151%9Y7\n10180%+151%TT\n10158%+178%I2\n10195%+151%TT\n10206%+153%3993\n10231%+146%TX\n10221%+148%JTT\nVB PW W1\n99\n99\n99\n99\nA\n999999\n999999\n10165 +170\n999999\n999999\n101651+165\n10170 +160\n101701+155\n10180 +150\n101801+150\n10181 +150\n101811+150\n10195 +150\n101951+150\n10206 +150\n102061+152\n10216 +150\n102161+150\n10213 +150\n102131+150\n10221 +150\n102211+147\n10231 +150\n102311+145\n10240 +140\n102401+142\nT\nPI\n101651\n101381\n102171\n102321\n999.\n999.\n999.\n999.\nW\nPWW\n1\n999.\n999.\n999.\n999.\nD\nWIVB\nV\n%\n%\n%\n%\n%\n%\n%\n%\n%\n%\nRWX\n9\n9\n9\n9\nW\n9\n9\n9\n9\nDI\n9\n9\n9\n9\nHRD\n69440859335200951986120100%\nI\n69440859335200941986120107%\n69440859335200941986120108%\n69440859335200941986120105%\n69440859335100951986120110%\n69440859335100951986120116%\n69440859335200951986120121%\n69440859335100951986120122%\n69440859335200941986120110%\n9.05\n14.53\n89440859335300981986120102\n69440859335100951986120112%\n69440859335100951986120118%\n17.87\n20.80\n89440859335300971986120102\n89440859335300971986120104\n89440859335300991986120105\n89440859335300971986120105\n89440859335300971986120106\n89440859335200981986120115\n89440859335200981986120108\n89440859335300981986120115\n89440859335200981986120116\n89440859335200981986120109\n89440859335200991986120118\n89440859335300991986120120\n33530097198612010:\n33520097198612010\n33520097198612010\n335200971986120108\n89440859335300991986120121\n335200981986120115\n335200981986120116\n33520097198612010\n33520098198612010\n335200991986120118\n33520099198612012\n33530099198612012\n89440859335200991986120121\nHR\nDY\n:\nNMC ADP (SORTED BY HOUR)\nMO\nLON w YR MO DY\n1\nYEAR\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n9.78 86 12\n9.72 86 12\n9.73 86 12\n9.87 86 12\n9.73 86 12\n9.73 86 12\n9.75 86 12\n9.77 86 12\n9.78 86 12\n9.82 86 12\n9.82 86 12\n9.88 86 12\n9.88 86 12\n9.88 86 12\nLONG\nLAT\nQ\nSS\nMSQ\n-35.32\n-35.27\n-35.25\n-35.33\n-35.25\n-35.25\n-35.22\n-35.22\n-35.32\n-35.20\n-35.20\n-35.22\n-35.25\n-35.22\nCD\n794\n794\n794\n794\n794\n794\n794\n794\n794\n794\n794\nLAT","12345678901234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234'567890123456789012345678\nWPQX\nDATEIIII\nRSSSSRSSSRSSSS308704 3\nRSSSSRRSSRSSSS278704 3\n3\n3\nKSSSSRRSSRSSSS298704 3\n3\n3\n89440859335200981986120109 102061+152 +175 15502 1 RSSSSRRSSRSSSS278704 3\n89440859335200981986120116 102131+150 +177 15502 1 3\n89440859335200981986120115 102161+150 +176 15502 1 3\n'KSSSSRSSSRSSSS328704 3\nRSSSSRRSSRSSSS278704 3\n102311+145 +175 15502 1 RSSSSRRSSRSSSS278704 3\n15502 1 KSSSSRSSSRSSSS328704 3\n89440859335300991986120121 102401+142 +171 15502 1 RSSSSRRSSRSSSS278704 3\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nKSSSSRSSSRSSSS328704\nRSSSSRRSSRSSSS278704\nRSSSSRRSSRSSSS278704\nCD SS LAT YEAR DY I DI WIVB 1 PI A WB DPT S HLIHMHWDP SDP CCDSA AITR SIGNWTIWP 'OWBW1PABPSCWSPQC\nP\nMSQ Q LONG MO HRD W V PWW T CNCH CC WWH SSH SS PPPI ICALL OOB SP'P VPW WD\n794 335300971986120102 ****** *****10165 +170 *****173* *** 15502 **\n**\n* *\n**\n794 335200991986120126 ****** *****10231+150 +175 15502 **\n794 335300991986120121 +140 ****+171 *** ******* ****** 15502 **\n69440859335200951986120100% % 10158%+178/Y +176 % YYYYY 15502 TY\nT%\nTI\n%\nTY\nT%\n%\nTI.\nTV\n%\nTV.\n1\n1\n1\n1\n1\n1\n1\n1\n1\n123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890123456\n15502\n69440859335200941986120105% % 10165%+166%Jy7 +174 97. / / 15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n794 335200971986120108 10195 +150 ....+173 * * * ****** 15502\n89440859335200981986120108 101951+150 +173 15502\n15502\n794 33520098198612010 ***10206 +150 ****+175 *** ****** 15502\n15502\n794 335200981986120116 10213 +150 +++++177 *** 15502\n15502\n15502\n15502\n15502\n15502\n15502\n15502\n794 335200971986120105 ****** 10180 +150 ****+171 *** ******\n794 335200971986120100 10181 +150 ****+173* *** ******\n694408593352009419861201079 % 10170%+156%JJI +174 TY. %YYY% %YYYY\n69440859335200941986120110 % 10180%+151%T7 +172 % YYYYY /\n69440859335200941986120108% % +174 % / /\n69440859335100951986120110% % +174 % %XYYY /\n69440859335100951986120112% % 10206%+153%7T +176 YY YYYYY /\n69440859335100951986120118% % +178 % %YYYY WAY\n69440859335100951986120116% % 10216%+1519JTI +177 % %YYYY /\n10221%+148%T7 +178 TV %YYYY. /\n10231%+146TT +176 YY / %YYYY.\n794 335200971986120104 ****** 10170 +160 ****+173* ***\n794 335200981986120115 10216 +150 ****176 ***\n+176\n**177\n+177\n+175\n+184\n89440859335300971986120102 101651+165 +173\n+173\n+173\n89440859335300971986120106 101811+150 +173\n+171\n101701+155\n101801+150\n10221 +150\n102211+147\n102171\n102321\n101381\n101651\n%\n%\n69440859335200951986120121%\n694408593351009519861201229\n89440859335300981986120102\n89440859335300971986120104\n89440859335300971986120105\n89440859335300981986120115\n89440859335300991986120120\n89440859335200991986120118\n89440859335200991986120121\n8944085933530099198612010\n33520099198612011\nTD-1129 SORTED BY SLP:\nTable C7 (continued)\n794","Appendix D. Meridional profiles and global values\nFigures D1-D84 are presented in order to help compare the NMC and FNOC datasets and\ntheir platform subset files on a meridional and global basis. Each figure contains plots for\nfour variables: either sea surface temperature (S), air temperature (A), sea level pressure\n(P), and specific humidity (Q); or, total cloudiness (C), scalar wind (W), and vector wind\neastward and northward components (U and V). The order of the comparisons is as\nfollows:\na) NMC trimmed minus untrimmed (Figures D1-D16)\nships\nSAPQ December (Figure D1), June (Figure D2)\nCWUV December (Figure D3), June (Figure D4)\nmoored buoys\nSAPQ December (Figure D5), June (Figure D6)\nCWUV December (Figure D7), June (Figure D8)\ndrifting buoys\nSAPQ December (Figure D9), June (Figure D10)\nCWUV December (Figure D11), June (Figure D12)\nC-MAN\nSAPQ December (Figure D13), June (Figure D14)\nCWUV December (Figure D15), June (Figure D16)\nb) NMC (Figures D17-D28)\nships minus moored buoys\nSAPQ December (Figure D17), June (Figure D18)\nCWUV December (Figure D19), June (Figure D20)\nships minus drifting buoys\nSAPQ December (Figure D21), June (Figure D22)\nCWUV December (Figure D23), June (Figure D24)\nships minus C-MAN\nSAPQ December (Figure D25), June (Figure D26)\nCWUV December (Figure D27), June (Figure D28)\nc) NMC daytime (Figures D29-D40)\n(similar to b)\nd) NMC nighttime (Figures D41-D52)\n(similar to b)\ne) NMC daytime minus nighttime (Figures D53-D68)\n(similar to a)\nf) FNOC minus NMC (Figures D69-D84)\n(similar to a)\nFor a given variable, zonal means are plotted (solid curve) of the differences of\ncorresponding monthly means for 2° boxes, with the requirement that both 2° boxes used\nfor each individual difference contained at least one observation. Also plotted are the\nstandard deviation (s.d.) of the differences (dashed curve) and the number of boxes\nrepresented in each zone (step function; scale on upper-left corner). Isolated zonal mean\ndifferences and standard deviations are represented as large and small dots, respectively.\nGlobal values for the mean of the differences, their standard deviation, and the number of\nboxes appear above the upper-right corner of the plot.\n77","boxes\nglobal values\nglobal values\nboxes\nmean dif:\n.10\nmean dif:\n.12\n0\n180\n0\n180\ns.d. of dif:\n1.33\ns.d. of dif:\n1.02\nno. boxes:\n6081\nno boxes:\n5753\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n6\n3\n-6\n-3\n0\nA (deg C)\nS (deg C)\nboxes\nglobal values\nglobal values\nboxes\nmean dif:\n.03\nmean dif:\n.01\n0\n180\n.49\n0\n180\ns.d. of dif:\ns.d. of dif:\n1.85\n5197\nno. boxes:\nno. boxes:\n6108\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n2\n-2\n0\n6\n-6\n0\nQ (g/kg)\nP (mb)\nFigure D1\nDecember 1986\nZonal means: NMC ships minus untrimmed NMC ships\n= mean difference\n= s.d. of differences\n= no. of boxes used\n78","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.08\nmean dif:\n.03\n0\n180\n0\n180\ns.d. of dif:\n1.01\ns.d. of dif:\n1.16\nno. boxes:\n5509\nboxes:\n5785\n90N\n90N\nno\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n0\n3\n-3\n0\n3\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.05\nmean dif:\n.01\n0\n180\n0\n180\ns.d. of dif:\n1.28\ns.d. of dif:\n.44\nno. boxes:\n5814\n90N\nno. boxes:\n4973\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-8\n0\n8\n-1\n0\n1\nP (mb)\nQ (g/kg)\nFigure D2\nJune 1988\nZonal means:\nNMC ships minus untrimmed NMC ships\n= mean difference\n= s.d. of differences\n= no. of boxes used\n79","global values\nboxes\nglobal values\nboxes\nmean dif:\nmean dif:\n.00\n-.42\n0\n180\n0\n180\ns.d. of dif:\ns.d. of dif:\n1.82\n.00\n6099\nno. boxes:\n630\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n6\n-1\n0\n1\n-6\n0\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n.02\n0\n180\n0\n180\ns.d. of dif:\n1.67\ns.d. of dif:\n1.55\nno. boxes:\n6099\nno. boxes:\n6099\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-6\n0\n6\n-8\n0\n8\nU (m/s)\nV (m/s)\nFigure D3\nDecember 1986\nZonal means:\nNMC ships minus untrimmed NMC ships\n= mean difference\n= s.d. of differences\n= no. of boxes used\n80","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n-.43\n0\n180\ns.d. of dif:\n0\n180\n.00\ns.d. of dif:\n1.81\nno. boxes:\n6098\n90N\nno. boxes:\n5788\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-6\n0\n6\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.05\nmean dif:\n-.01\n0\n180\n0\n180\ns.d. of dif:\n1.52\ns.d. of dif:\n1.43\nno. boxes:\n5788\n90N\nno. boxes:\n5788\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-6\nO\n6\nU (m/s)\nV (m/s)\nFigure D4\nJune 1988\nZonal means:\nNMC ships minus untrimmed NMC ships\n= mean difference\n= s.d. of differences\n= no. of boxes used\n81","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.07\nmean dif:\n.01\n0\n10\n0\n10\ns.d. of dif:\n.59\ns.d. of dif:\n.09\nno. boxes:\n68\nno. boxes:\n65\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n5\n-5\n0\n-1\n0\n1\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.00\nmean dif:\n.09\n0\n10\n0\n10\ns.d. of dif:\n.00\ns.d. of dif:\n.72\nno. boxes:\n24\nno. boxes:\n70\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-4\n0\n4\nQ (g/kg)\nP (mb)\nFigure D5\nDecember 1986\nZonal means: NMC moored buoys minus untrimmed NMC moored buoys\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n82","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n.01\n0\n10\ns.d. of dif:\n0\n10\n.14\ns.d. of dif:\n.17\nno. boxes:\n105\n90N\nno. boxes:\n148\n90N\n6ON\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.11\nmean dif:\n.00\n0\n10\n0\ns.d. of dif:\n10\n.96\ns.d. of dif:\n.02\nno boxes:\n146\n90N\nno. boxes:\n90\n90N\n60N\n60N\nu\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-1\n0\n1\nP (mb)\nQ (g/kg)\nFigure D6\nJune 1988\nZonal means: NMC moored buoys minus untrimmed NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n83","global values\nboxes\nboxes\nglobal values\nmean dif:\n-.01\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\ns.d. of dif:\n.02\n.00\n66\nno boxes:\n20\nno boxes:\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n-1\n0\n1\n-1\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.00\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\ns.d. of dif:\n.03\n.02\n66\nno. boxes:\n66\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n-1\n0\n1\n-1\nU (m/s)\nV (m/s)\nFigure D7\nDecember 1986\nZonal means: NMC moored buoys minus untrimmed NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n84","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n-.04\n0\n10\n0\n10\ns.d. of dif:\n.00\ns.d. of dif:\n.19\nno. boxes:\n96\n90N\nno. boxes:\n145\n90N\n60N\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n-.03\n0\n10\n0\n10\ns.d. of dif:\n.08\ns.d. of dif:\n.20\nno. boxes:\n145\n90N\nno. boxes:\n145\n90N\n6ON\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nU (m/s)\nV (m/s)\nFigure D8\nJune 1988\nZonal means: NMC moored buoys minus untrimmed NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n85","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.13\nmean dif:\n.05\n0\n45\n0\n45\ns.d. of dif:\n1.76\ns.d. of dif:\n1.22\nno. boxes:\n595\nboxes:\n564\nno.\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n5\n-5\n0\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.00\nmean dif:\n.27\n0\n45\n0\n45\ns.d. of dif:\n.00\ns.d. of dif:\n2.61\nno. boxes:\n6\n672\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n1\n12\n-1\n0\n-12\n0\nQ (g/kg)\nP (mb)\nFigure D9\nDecember 1986\nZonal means: NMC drifting buoys minus untrimmed NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n86","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.03\nmean dif:\n.06\n0\n45\ns.d. of dif:\n0\n45\n.44\ns.d. of dif:\n.28\nno. boxes:\n379\n90N\nno boxes:\n232\n90N\n60N\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-2\n0\n2\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.21\nmean dif:\n.00\n0\n45\n0\n45\ns.d. of dif:\n1.00\ns.d. of dif:\n.00\nno boxes:\n272\n90N\nno. boxes:\n26\n90N\n60N\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n- -1\n0\n1\nP (mb)\nQ (g/kg)\nFigure D10\nJune 1988\nZonal means: NMC drifting buoys minus untrimmed NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n87","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.36\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\n.83\ns.d. of dif:\n.00\nno. boxes:\n62\nno. boxes:\n8\n90N\n90N\n60N\n60N\n40N\n4ON\nFL\n20N\n20N\nI\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-1\n0\n1\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n-.04\nmean dif:\n-.08\n0\n10\n0\n10\ns.d. of dif:\n.55\ns.d. of dif:\n.38\nno. boxes:\n62\nno. boxes:\n62\n90N\n90N\n60N\n60N\n40N\n4ON\nF\nF\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n0\n1\n-1\nV (m/s)\nU (m/s)\nFigure D11\nDecember 1986\nZonal means: NMC drifting buoys minus untrimmed NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n88","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.00\n0\n10\ns.d. of dif:\n0\n10\n.00\ns.d. of dif:\n.01\nno. boxes:\n25\n90N\nno. boxes:\n47\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.01\n0\n10\ns.d. of dif:\n0\n10\n.01\ns.d. of dif:\n.04\nno. boxes:\n47\n90N\nno. boxes:\n47\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nU (m/s)\nV (m/s)\nFigure D12\nJune 1988\nZonal means: NMC drifting buoys minus untrimmed NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n89","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n.15\n0\n10\n0\n10\ns.d. of dif:\n.06\ns.d. of dif:\n.32\nno boxes:\n40\nno. boxes:\n17\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n1\n1\n-1\nO\n-1\n0\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.01\n0\n10\n0\n10\ns.d. of dif:\n.05\nno. boxes:\n42\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\nO\n9999\n0\n1\n-1\nQ (g/kg)\nP (mb)\nFigure D13\nDecember 1986\nZonal means: NMC C-MAN data minus untrimmed NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n90","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.02\nmean dif:\n.06\n0\n10\n0\n10\ns.d. of dif:\n.09\ns.d. of dif:\n.35\nno. boxes:\n14\n90N\nno. boxes:\n43\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.02\n0\n10\n0\n10\ns.d. of dif:\n.07\nno. boxes:\n43\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D14\nJune 1988\nZonal means: NMC C-MAN data minus untrimmed NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n91","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.07\n0\n10\n0\n10\ns.d. of dif:\n.21\n39\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-1\n0\n1\nW (m/s)\nC (okta)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.04\nmean dif:\n.05\n0\n10\n0\n10\ns.d. of dif:\n.21\ns.d. of dif:\n.12\n39\nno. boxes:\n39\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\nO\n1\n-1\n0\n1\n-1\nV (m/s)\nU (m/s)\nFigure D15\nDecember 1986\nZonal means: NMC C-MAN data minus untrimmed NMC C-MAN data\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n92","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n-.06\n0\n10\ns.d. of dif:\n0\n10\n.00\ns.d. of dif:\n.15\nno. boxes:\n4\n90N\nno. boxes:\n44\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.03\nmean dif:\n.01\n0\n10\n0\n10\ns.d. of dif:\n.13\ns.d. of dif:\n.14\nno. boxes:\n44\n90N\nno. boxes:\n44\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n1\n0\n1\nU (m/s)\nV (m/s)\nFigure D16\nJune 1988\nZonal means: NMC C-MAN data minus untrimmed NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n93","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.26\nmean dif:\n.07\n0\n10\n0\n10\ns.d. of dif:\n1.43\ns.d. of dif:\n1.02\n67\nno. boxes:\n65\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n-4\n0\n4\n-3\n0\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.13\nmean dif:\n-.06\n0\n10\n0\n10\ns.d. of dif:\n1.48\ns.d. of dif:\n6.70\nno. boxes:\n23\nno. boxes:\n65\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-21\n0\n21\nQ (g/kg)\nP (mb)\nFigure D17\nDecember 1986\nNMC ships minus NMC moored buoys\nZonal means:\n= mean difference\n= s.d. of differences\n= no. of boxes used\n94","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.19\nmean dif:\n.60\n0\n10\n0\n10\ns.d. of dif:\n1.53\ns.d. of dif:\n1.83\nno. boxes:\n102\nno. boxes:\n145\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-6\n0\n6\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.16\nmean dif:\n-.22\n0\n10\n0\n10\ns.d. of dif:\n4.73\ns.d. of dif:\n1.16\nno. boxes:\n14\n90N\nno. boxes:\n90\n90N\n60N\n60N\nu\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-16\n0\n16\n-3\n0\n3\nP (mb)\nQ (g/kg)\nFigure D18\nJune 1988\nZonal means:\nNMC ships minus NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n95","boxes\nglobal values\nboxes\nglobal values\nmean dif:\nmean dif:\n1.13\n-.15\n0\n10\n0\n10\ns.d. of dif:\n2.67\ns.d. of dif:\n1.96\nboxes:\n20\nno. boxes:\n65\nno\n90N\n90N\n60N\n60N\n4ON\n4ON\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-6\nO\n6\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\nmean dif:\n.16\n-.08\n0\n10\n0\n10\ns.d. of dif:\ns.d. of dif:\n3.32\n4.61\n65\nno. boxes:\n65\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-13\n0\n13\n-10\n0\n10\nU (m/s)\nV (m/s)\nFigure D19\nDecember 1986\nZonal means: NMC ships minus NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n96","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.27\nmean dif:\n.48\n0\n10\n0\n10\ns.d. of dif:\n1.87\ns.d. of dif:\n2.90\nno. boxes:\n95\n90N\nno. boxes:\n142\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-7\n0\n7\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.02\nmean dif:\n-1.08\n0\n10\n0\n10\ns.d. of dif:\n3.76\ns.d. of dif:\n3.96\nno. boxes:\n142\n90N\nno. boxes:\n142\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-8\n0\n8\n-8\n0\n8\nU (m/s)\nV (m/s)\nFigure D20\nJune 1988\nZonal means:\nNMC ships minus NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n97","global values\nboxes\nglobal values\nboxes\nmean dif:\n.28\nmean dif:\n.05\n0\n45\n0\n45\ns.d. of dif:\n1.84\ns.d. of dif:\n1.40\n337\nno. boxes:\n325\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n11\n-6\n0\n6\n-11\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n-1.07\nmean dif:\n-.18\n0\n45\n0\n45\ns.d. of dif:\n.84\ns.d. of dif:\n8.58\nno, boxes:\n6\nno. boxes:\n398\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n2\n-26\n0\n26\n-2\n0\nQ (g/kg)\nP (mb)\nFigure D21\nDecember 1986\nZonal means: NMC ships minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n98","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.05\nmean dif:\n.32\n0\n45\ns.d. of dif:\n0\n45\n1.49\ns.d. of dif:\n1.88\nno. boxes:\n258\n90N\nno. boxes:\n163\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-4\n0\n4\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.02\nmean dif:\n-.38\n0\n45\n0\ns.d. of dif:\n45\n5.96\ns.d. of dif:\n1.34\nno. boxes:\n194\n90N\nno. boxes:\n26\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-12\n0\n12\n-4\n0\n4\nP (mb)\nQ (g/kg)\nFigure D22\nJune 1988\nZonal means:\nNMC ships minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n99","global values\nboxes\nglobal values\nboxes\nmean dif:\n3.92\nmean dif:\n.30\n0\n10\n0\n10\ns.d. of dif:\n5.56\ns.d. of dif:\n2.22\nno. boxes:\n40\nno. boxes:\n8\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-20\n0\n20\n-4\n0\n4\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n-.33\nmean dif:\n1.42\n0\n10\n0\n10\ns.d. of dif:\n5.81\ns.d. of dif:\n4.93\nno. boxes:\n40\nno. boxes:\n40\n90N\n90N\n60N\n60N\n2\n4ON\n4ON\nF\n20N\n20N\nI\nI\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n14\n10\n-14\n0\n-10\n0\nV (m/s)\nU (m/s)\nFigure D23\nDecember 1986\nZonal means: NMC ships minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n100","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.53\n0\n10\ns.d. of dif:\n0\n10\n2.03\ns.d. of dif:\n3.47\nno boxes:\n25\n90N\nno boxes:\n47\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-7\nO\n7\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.20\nmean dif:\n-.36\n0\n10\n0\n10\ns.d. of dif:\n4.30\ns.d. of dif:\n4.75\nno. boxes:\n47\n90N\nno. boxes:\n47\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n-\n40S\n40S\n60S\n60S\n90S\n90S\n-9\n0\n9\n-11\nO\n11\nU (m/s)\nV (m/s)\nFigure D24\nJune 1988\nZonal means:\nNMC ships minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n101","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n2.33\nmean dif:\n2.01\n0\n10\n0\n10\ns.d. of dif:\n3.05\ns.d. of dif:\n2.36\nno. boxes:\n36\nno. boxes:\n15\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-8\n0\n8\n-7\n0\n7\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.47\n0\n10\n0\n10\ns.d. of dif:\n4.77\nno. boxes:\n35\n90N\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\no\n9999\n0\n11\n-9999\n-11\nQ (g/kg)\nP (mb)\nFigure D25\nDecember 1986\nNMC ships minus NMC C-MAN data\nZonal means:\n= mean difference\n= s.d. of differences\n= no. of boxes used\n102","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.06\nmean dif:\n.28\n0\n10\ns.d. of dif:\n0\n10\n.80\ns.d. of dif:\n1.89\nno. boxes:\n12\n90N\nno. boxes:\n42\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-8\n0\n8\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\n2.46\nno. boxes:\n38\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D26\nJune 1988\nZonal means:\nNMC ships minus NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n103","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n1.57\n0\n10\n0\n10\ns.d. of dif:\n2.24\n35\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n4\n9999\n-4\nO\n-9999\n0\nW (m/s)\nC (okta)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.63\nmean dif:\n-.06\n0\n10\n0\n10\ns.d. of dif:\n3.15\ns.d. of dif:\n2.46\n35\nno. boxes:\nno. boxes:\n35\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n7\n-7\nO\n-8\n0\n8\nV (m/s)\nU (m/s)\nFigure D27\nDecember 1986\nZonal means: NMC ships minus NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n104","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.13\nmean dif:\n.72\n0\n10\ns.d. of dif:\n2.94\n0\n10\ns.d. of dif:\n1.70\nno boxes:\n90N\n4\nno. boxes:\n90N\n43\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-4\n0\n4\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.70\nmean dif:\n.18\n0\n10\ns.d. of dif:\n0\n2.07\n10\ns.d. of dif:\n1.91\nno boxes:\n43\n90N\nno. boxes:\n90N\n43\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-7\n0\n7\n-5\n0\n5\nU (m/s)\nV (m/s)\nFigure D28\nJune 1988\nZonal means:\nNMC ships minus NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n105","global values\nboxes\nboxes\nglobal values\nmean dif:\n.25\nmean dif:\n-.13\n0\n10\n0\n10\ns.d. of dif:\n1.18\ns.d. of dif:\n1.01\nno. boxes:\n50\nno. boxes:\n47\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n-3\n0\n2\n-2\n0\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.07\nmean dif:\n- -1.09\n0\n10\ns.d. of dif:\n1.51\n0\n10\ns.d. of dif:\n8.11\nno. boxes:\n12\nno. boxes:\n46\n90N\n90N\n60N\n60N\nL\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n5\n-5\n0\n51\n-51\n0\nQ (g/kg)\nP (mb)\nFigure D29\nDecember 1986\nZonal means: NMC ships day minus NMC moored buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n106","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.21\nmean dif:\n.67\n0\n10\ns.d. of dif:\n0\n1.57\n10\ns.d. of dif:\n1.95\nno. boxes:\n94\n90N\nno. boxes:\n13\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-6\n0\n6\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.09\nmean dif:\n-.28\n0\n10\ns.d. of dif:\n0\n10\n4.70\ns.d. of dif:\n1.20\nno. boxes:\n127\n90N\nno. boxes:\n78\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-16\n0\n16\n-3\n0\n3\nP (mb)\nQ (g/kg)\nFigure D30\nJune 1988\nZonal means: NMC ships day minus NMC moored buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n107","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n2.31\nmean dif:\n.31\n0\n10\n0\n10\ns.d. of dif:\n2.32\ns.d. of dif:\n2.52\nno. boxes:\n48\nno. boxes:\n8\n90N\n90N\n60N\n60N\n4\n40N\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n7\n5\n-7\nO\n-5\n0\nW (m/s)\nC (okta)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.25\nmean dif:\n1.16\n0\n10\n0\n10\ns.d. of dif:\n2.48\ns.d. of dif:\n4.46\nno. boxes:\n48\nno. boxes:\n48\n90N\n90N\n60N\n6ON\n4ON\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n13\n-6\n0\n6\n-13\n0\nV (m/s)\nU (m/s)\nFigure D31\nDecember 1986\nZonal means: NMC ships day minus NMC moored buoys day\nmean difference\n=\ns.d. of differences\n=\n= no. of boxes used\n108","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.16\nmean dif:\n.48\n0\n10\ns.d. of dif:\n0\n10\n1.88\ns.d. of dif:\n2.89\nno boxes:\n80\n90N\nno. boxes:\n127\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-7\n0\n7\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.16\nmean dif:\n-1.09\n0\n10\n0\ns.d. of dif:\n10\n3.90\ns.d. of dif:\n3.95\nno. boxes:\n127\n90N\nno. boxes:\n127\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-8\n0\n8\n-7\n0\n7\nU (m/s)\nV (m/s)\nFigure D32\nJune 1988\nZonal means: NMC ships day minus NMC moored buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n109","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n-.12\n0\n45\n0\n45\ns.d. of dif:\n1.84\ns.d. of dif:\n1.27\n287\nno. boxes:\nno. boxes:\n249\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\nO\n5\n-4\n0\n4\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.87\nmean dif:\n-.44\n0\n45\n0\n45\ns.d. of dif:\n.79\ns.d. of dif:\n7.89\nno. boxes:\n6\nno. boxes:\n320\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n28\n-28\n0\nQ (g/kg)\nP (mb)\nFigure D33\nDecember 1986\nZonal means: NMC ships day minus NMC drifting buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n110","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.03\nmean dif:\n.31\nO\n45\ns.d. of dif:\n0\n45\n1.62\ns.d. of dif:\n1.94\nno. boxes:\n206\n90N\nno. boxes:\n128\n90N\n6ON\n60N\n4ON\n4ON\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-4\n0\n4\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.39\nmean dif:\n-.40\n0\n45\n0\ns.d. of dif:\n45\n5.99\ns.d. of dif:\n1.37\nno. boxes:\n159\n90N\nno. boxes:\n23\n90N\n60N\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-13\n0\n13\n-4\n0\n4\nP (mb)\nQ (g/kg)\nFigure D34\nJune 1988\nZonal means: NMC ships day minus NMC drifting buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n111","global values\nboxes\nglobal values\nboxes\nmean dif:\n3.46\nmean dif:\n.36\n0\n10\n0\n10\ns.d. of dif:\n4.71\ns.d. of dif:\n2.16\nno. boxes:\n23\nno. boxes:\n7\n90N\n90N\n60N\n60N\n40N\n40N\nF\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-18\n0\n18\n-4\n0\n4\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\nmean dif:\n2.21\n-.94\n0\n10\n0\n10\ns.d. of dif:\n6.33\ns.d. of dif:\n4.24\nno. boxes:\n23\nno. boxes:\n23\n90N\n90N\n60N\n60N\n1\n4ON\n40N\nS\ns\n4\n20N\n20N\nI\nI\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n16\n-10\n0\n10\n-16\nU (m/s)\nV (m/s)\nFigure D35\nDecember 1986\nZonal means: NMC ships day minus NMC drifting buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n112","boxes\nglobal\nvalues\nboxes\nglobal values\nmean dif:\n-.33\nmean dif:\n.82\n0\n10\ns.d. of dif:\n0\n10\n2.01\ns.d. of dif:\n3.56\nno. boxes:\n21\n90N\nno. boxes:\n4\n90N\n6ON\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-6\n0\n6\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.12\nmean dif:\n-.50\n0\n10\n0\ns.d. of dif:\n10\n4.51\ns.d. of dif:\n4.60\nno. boxes:\n4\n90N\nno. boxes:\n4\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9\n0\n9\n-8\n0\n8\nU (m/s)\nV (m/s)\nFigure D36\nJune 1988\nZonal means:\nNMC ships day minus NMC drifting buoys day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n113","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n2.29\nmean dif:\n2.73\n0\n0\n10\n10\ns.d. of dif:\n2.36\ns.d. of dif:\n3.08\n33\nno. boxes:\n12\nno boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n7\n-7\n0\n7\n-7\n0\nA (deg C)\nS (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.26\n0\n10\n0\n10\ns.d. of dif:\n4.46\nno. boxes:\n29\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n11\n0\n11\nQ (g/kg)\nP (mb)\nFigure D37\nDecember 1986\nZonal means: NMC ships day minus NMC C-MAN data day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n114","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.04\nmean dif:\n.21\n0\n10\ns.d. of dif:\n.84\n0\n10\ns.d. of dif:\n2.05\nno. boxes:\n12\n90N\nno. boxes:\n40\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-8\n0\n8\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.29\n0\n10\ns.d. of dif:\n2.77\n0\n10\nno. boxes:\n35\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-7\n0\n7\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D38\nJune 1988\nZonal means:\nNMC ships day minus NMC C-MAN data day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n115","boxes\nglobal values\nglobal values\nboxes\nmean dif:\n1.71\n0\n10\n0\n10\ns.d. of dif:\n2.49\n3\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-9999\n0\n9999\nW (m/s)\nC (okta)\nglobal values\nglobal\nboxes\nvalues\nboxes\nmean dif:\n.29\nmean dif:\n-.42\n0\n10\n0\n10\ns.d. of dif:\n2.65\ns.d. of dif:\n4.14\n31\nno. boxes:\nno. boxes:\n31\n90N\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n5\n-5\n0\n11\n-11\n0\nV (m/s)\nU (m/s)\nFigure D39\nDecember 1986\nZonal means: NMC ships day minus NMC C-MAN data day\nmean difference\n=\ns.d. of differences\n=\n= no. of boxes used\n116","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.90\nmean dif:\n.59\n0\n10\ns.d. of dif:\n0\n10\n2.81\ns.d. of dif:\n1.49\nno. boxes:\n3\n90N\nno. boxes:\n4\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-4\n0\n4\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.54\nmean dif:\n.33\n0\n10\n0\ns.d. of dif:\n10\n1.85\ns.d. of dif:\n1.94\nno. boxes:\n41\n90N\nno. boxes:\n4\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-6\n0\n6\n-6\n0\n6\nU (m/s)\nV (m/s)\nFigure D40\nJune 1988\nZonal means: NMC ships day minus NMC C-MAN data day\n= mean difference\n= s.d. of differences\n= no. of boxes used\n117","boxes\nglobal values\nglobal values\nboxes\nmean dif:\n.05\nmean dif:\n.18\nC\n10\ni\n1C\ns.a. of aif:\n1.36\ns.a. of dif:\n1.26\n60\nno boxes:\n56\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n4\n4\n-4\n0\n-4\n0\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n-.06\nmean dif:\n1.19\n0\n10\n0\n10\ns.d. of dif:\n1.26\ns.d. of dif:\n6.87\nno. boxes:\n18\nno. boxes:\n60\n90N\n90N\n60N\n60N\nI\n40N\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n0\n19\n-3\n0\n-19\nQ (g/kg)\nP (mb)\nFigure D41\nDecember 1986\nZonal means: NMC ships night minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n118","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.34\nmean dif:\n.53\n0\n10\ns.d. of dif:\n0\n10\n1.27\ns.d. of dif:\n1.23\nno. boxes:\n6\nno boxes:\n74\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-3\n0\n3\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.21\nmean dif:\n.10\n0\n10\n0\n10\ns.d. of dif:\n4.28\ns.d. of dif:\n1.17\nno. boxes:\n7\n90N\nno. boxes:\n27\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-7\n0\n7\n-4\n0\n4\nP (mb)\nQ (g/kg)\nFigure D42\nJune 1988\nZonal means: NMC ships night minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n119","boxes\nglobal values\nglobal values\npoxes\nmean dif:\n.41\nmean dif:\n-.58\nC\nis\niC\n2.86\ns.a. of aif:\n1.78\ns.d. of air:\nno. boxes:\n57\nno. boxes:\n12\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-7\n0\n7\n-4\n0\n4\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\nmean dif:\n.40\n-.22\n0\n10\n0\n10\ns.d. of dif:\n4.30\ns.d. of dif:\n4.37\nno. boxes:\n57\nno. boxes:\n57\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n14\n-11\n0\n11\n-14\n0\nU (m/s)\nV (m/s)\nFigure D43\nDecember 1986\nZonal means: NMC ships night minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n120","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.24\nmean dif:\n.56\n0\n10\ns.d. of dif:\n2.09\n0\n10\ns.d. of dif:\n2.05\nno. boxes:\n27\n90N\nno. boxes:\n73\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-6\n0\n6\n-6\n0\n6\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.25\nmean dif:\n-.46\n0\n10\ns.d. of dif:\n0\n2.14\n10\ns.d. of dif:\n2.84\nno. boxes:\n73\n90N\nno. boxes:\n73\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-6\n0\n6\n-6\n0\n6\nU (m/s)\nV (m/s)\nFigure D44\nJune 1988\nZonal means:\nNMC ships night minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n121","boxes\nglobe:\nvalues\nglobal values\nboxes\nmean dif:\n.13\nmean dif:\n.07\ni\n45\ns.a. of air:\n1.91\nC\n45\ns.a. or air:\n1.66\nno. boxes:\n167\nno. boxes:\n198\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\nW\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n11\n6\n-11\n-6\n0\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.27\nmean dif:\n.09\n0\n45\ns.d. of dif:\n.00\n0\n45\ns.d. of dif:\n9.41\nno. boxes:\nno. boxes:\n214\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n23\n-1\n-23\n0\nQ (g/kg)\nP (mb)\nFigure D45\nDecember 1986\nZonal means: NMC ships night minus NMC drifting buoys night\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n122","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.05\nmean dif:\n.45\n0\n45\ns.d. of dif:\n0\n45\n1.29\ns.d. of dif:\n1.70\nno boxes:\n167\n90N\nno. boxes:\n103\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-4\n0\n4\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.33\nmean dif:\n.17\n0\n45\ns.d. of dif:\n0\n45\n6.67\ns.d. of dif:\n.40\nno. boxes:\n123\n90N\nno. boxes:\n3\n90N\n60N\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-13\n0\n13\n-1\nO\n1\nP (mb)\nQ (g/kg)\nFigure D46\nJune 1988\nZonal means: NMC ships night minus NMC drifting buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n123","boxes\nglobal\nglobal values\nvolues\nboxes\nmean dif:\n4.39\nmean dif:\n1.40\n0\n10\n0\n10\ns.a. or aif:\n5.93\ns.a. of dif:\n1.56\nno. boxes:\n24\nno. boxes:\n2\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n20\n-3\n0\n3\n-20\nW (m/s)\nC (okta)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.82\nmean dif:\n.40\n0\n10\n0\n10\ns.d. of dif:\n5.55\ns.d. of dif:\n5.22\nno. boxes:\n24\nno. boxes:\n24\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n14\n9\n-14\n0\n-9\n0\nV (m/s)\nU (m/s)\nFigure D47\nDecember 1986\nZonal means: NMC ships night minus NMC drifting buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n124","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n1.30\nmean dif:\n1,08\n0\n10\ns.d. of dif:\n1.59\n0\n10\ns.d. of dif:\n4.01\nno. boxes:\n4\n90N\nno. boxes:\n90N\n14\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-8\n0\n8\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.66\nmean dif:\n-.45\n0\n10\ns.d. of dif:\n0\n2.81\n10\ns.d. of dif:\n4.65\nno. boxes:\n14\n90N\nno. boxes:\n90N\n14\n6ON\n60N\n4ON\nSU\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-7\n0\n7\n-11 0\n11\nU (m/s)\nV (m/s)\nFigure D48\nJune 1988\nZonal means: NMC ships night minus NMC drifting buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n125","boxes\nglobal\nglobal values\nvalues\nboxes\nmean dif:\n2.35\nmean dif:\n1.96\n0\n10\n0\n10\ns.a. or aii:\n3.11\ns.a. or gif:\n2.56\nno. boxes:\n35\nno. boxes:\n14\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-8\n0\n8\n8\n-8\n0\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.76\n0\n10\n0\n10\ns.d. of dif:\n4.97\nno. boxes:\n34\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-11\n0\n11\nQ (g/kg)\nP (mb)\nFigure D49\nDecember 1986\nZonal means: NMC ships night minus NMC C-MAN data night\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n126","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.37\nmean dif:\n.46\n0\n10\n0\n10\ns.d. of dif:\n.94\ns.d. of dif:\n1.46\nno. boxes:\n90N\nno. boxes:\n38\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n- -3\n0\n3\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.46\n0\n10\n0\ns.d. of dif:\n10\n2.58\nno. boxes:\n35\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D50\nJune 1988\nZonal means: NMC ships night minus NMC C-MAN data night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n127","global values\nboxes\nglobal values\nboxes\nmean dif:\n1.38\nC\ni\nis\nis\ns.a. of aif:\n2.41\nno. boxes:\n35\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-4\n0\n4\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.05\nmean dif:\n.73\n0\n10\n0\n10\ns.d. of dif:\n2.12\ns.d. of dif:\n3.52\nno. boxes:\n35\nno. boxes:\n35\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-6\n0\n6\n-8\n0\n8\nU (m/s)\nV (m/s)\nFigure D51\nDecember 1986\nZonal means: NMC ships night minus NMC C-MAN data night\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n128","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-1.00\nmean dif:\n1.09\n0\n10\ns.d. of dif:\n0\n.00\n10\ns.d. of dif:\n2.26\nno. boxes:\n90N\nboxes:\n38\n90N\nno\n6ON\n60N\n4\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-6\n0\n6\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.87\nmean dif:\n.01\n0\n10\ns.d. of dif:\n0\n3.11\n10\ns.d. of dif:\n2.48\nno boxes:\n38\n90N\nno. boxes:\n38\n90N\n6ON\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-10\n0\n10\n-7\n0\n7\nU (m/s)\nV (m/s)\nFigure D52\nJune 1988\nZonal means:\nNMC ships night minus NMC C-MAN data night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n129","boxes\nglood\nclues\nglooc\nJues\nDoxes\nmean dif:\n.75\nmean dif:\n.08\ni\niov\ni80\n1.56\ns.d. of air:\ns.a. of all:\n1.13\nno boxes:\n3846\nno. boxes:\n3566\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n4\n2\n-4\n-2\n0\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.21\nmean dif:\n-.24\n0\n180\n1.47\n0\n180\ns.d. of dif:\ns.d. of dif:\n4.98\nno. boxes:\n307\n3842\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n-3\n0\n13\n-13\n0\nQ (g/kg)\nP (mb)\nFigure D53\nDecember 1986\nZonal means: NMC ships day minus NMC ships night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n130","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.11\nmean dif:\n.91\n0\n180\ns.d. of dif:\n0\n180\n1.15\ns.d. of dif:\n1.33\nno boxes:\n3522\n90N\nno boxes:\n3773\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-4\n0\n4\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.08\nmean dif:\n.26\n0\n180\ns.d. of dif:\n3.76\n0\n180\ns.d. of dif:\n1.45\nno boxes:\n3794\n90N\nno. boxes:\n2985\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-13\n0\n13\n-3\n0\n3\nP (mb)\nQ (g/kg)\nFigure D54\nJune 1988\nZonal means:\nNMC ships day minus NMC ships night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n131","boxes\nglobal values\nglobal values\nboxes\nmean dif:\n.33\nmean dif:\n.47\n0\n180\n0\n180\ns.d. of aif:\n2.83\ns.d. of dif:\n1.93\nno. boxes:\n3792\nno. boxes:\n3802\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n6\n-3\n0\n3\n-6\nW (m/s)\nC (okta)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.02\nmean dif:\n.08\n0\n180\n0\n180\ns.d. of dif:\n4.00\ns.d. of dif:\n3.87\nno. boxes:\n3792\n3792\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n9\n8\n-9\n0\n-8\n0\nV (m/s)\nU (m/s)\nFigure D55\nDecember 1986\nZonal means: NMC ships day minus NMC ships night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n132","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.43\nmean dif:\n.28\n0\n180\ns.d. of dif:\n1.96\n0\n180\ns.d. of dif:\n2.59\nno. boxes:\n3706\n90N\nno boxes:\n3773\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-6\n0\n6\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.04\n0\n180\ns.d. of dif:\n3.35\n0\n180\ns.d. of dif:\n3.46\nno. boxes:\n3773\n90N\nno. boxes:\n3773\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9\n0\n9\n-8\n0\n8\nU (m/s)\nV (m/s)\nFigure D56\nJune 1988\nZonal means:\nNMC ships day minus NMC ships night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n133","boxes\nglobal values\nglobal values\nboxes\nmean dif:\n.23\nmean dif:\n.05\n0\n10\n0\n10\ns.d. of aif:\n.36\ns.d. of dif:\n.09\nno. boxes:\n46\nno. boxes:\n42\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n1\n- -1\n0\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.04\nmean dif:\n.19\n0\n10\ns.d. of dif:\n.10\n0\n10\ns.d. of dif:\n.67\nno. boxes:\n7\nno. boxes:\n46\n90N\n90N\n60N\n60N\n40N\n4ON\nI\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n4\n-1\n-4\n0\nQ (g/kg)\nP (mb)\nFigure D57\nDecember 1986\nZonal means: NMC moored buoys day minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n134","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.14\nmean dif:\n.33\n0\n10\ns.d. of dif:\n0\n10\n.16\ns.d. of dif:\n.37\nno boxes:\n56\n90N\nno boxes:\n64\n90N\n6ON\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.24\nmean dif:\n-.01\n0\n10\n0\n10\ns.d. of dif:\n1.05\ns.d. of dif:\n.25\nno. boxes:\n64\n90N\nno. boxes:\n17\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-1\n0\n1\nP (mb)\nQ (g/kg)\nFigure D58\nJune 1988\nZonal means: NMC moored buoys day minus NMC moored buoys night\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n135","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.11\n0\n10\n0\n10\ns.d. of dif:\n.46\nno. boxes:\n43\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-9999\n0\n9999\nW (m/s)\nC (okta)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.03\nmean dif:\n.08\n0\n10\n0\n10\ns.d. of dif:\n.62\ns.d. of dif:\n.60\nno. boxes:\n43\nno. boxes:\n43\n90N\n90N\n60N\n60N\nF\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-2\n0\n2\nU (m/s)\nV (m/s)\nFigure D59\nDecember 1986\nZonal means: NMC moored buoys day minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n136","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.12\nmean dif:\n.03\n0\n10\ns.d. of dif:\n0\n1.19\n10\ns.d. of dif:\n.44\nno. boxes:\n90N\n14\nno boxes:\n62\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-1\n0\n1\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.15\n0\n10\ns.d. of dif:\n0\n1.02\n10\ns.d. of dif:\n.87\nno. boxes:\n62\n90N\nno. boxes:\n62\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-3\n0\n3\nU (m/s)\nV (m/s)\nFigure D60\nJune 1988\nZonal means: NMC moored buoys day minus NMC moored buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n137","boxes\nglobal values\nglobal values\nboxes\nmean dif:\n.79\nmean dif:\n.08\n0\n45\ns.a. of dif:\n1.01\nC\n45\ns.d. of dif:\n.31\n506\nno. boxes:\nno. boxes:\n486\n90N\n90N\n60N\n6ON\n40N\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-6\no\n6\n2\n-2\n0\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.07\nmean dif:\n.22\n0\n45\ns.d. of dif:\n.00\n0\n45\ns.d. of dif:\n2.61\nno. boxes:\nno. boxes:\n548\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n-1\n14\n0\n-14\nQ (g/kg)\nP (mb)\nFigure D61\nDecember 1986\nZonal means: NMC drifting buoys day minus NMC drifting buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n138","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.07\nmean dif:\n.33\n0\n45\ns.d. of dif:\n0\n.35\n45\ns.d. of dif:\n.76\nno. boxes:\n311\n90N\nno. boxes:\n90N\n179\n6ON\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-4\n0\n4\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.09\n0\n45\ns.d. of dif:\n0\n2.65\n45\nno. boxes:\n201\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-10\nO\n10\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D62\nJune 1988\nZonal means:\nNMC drifting buoys day minus NMC drifting buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n139","global values\nboxes\nglobal values\nboxes\nmean dif:\n.21\nmean dif:\n.00\n0\n1C\ns.d. or aif:\n.89\nC\n10\ns.d. of aif:\n.00\nno. boxes:\n29\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n-3\n0\n1\n-1\n0\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.08\nmean dif:\n.15\n0\n10\ns.d. of dif:\n.98\n0\n10\ns.d. of dif:\n1.02\nno. boxes:\n29\n29\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n5\n-5\n0\nV (m/s)\nU (m/s)\nFigure D63\nDecember 1986\nZonal means: NMC drifting buoys day minus NMC drifting buoys night\n= mean difference\ns.d. of differences\n=\n= no. of boxes used\n140","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.09\n0\n10\n0\n10\ns.d. of dif:\n1.01\n90N\nno, boxes:\n90N\n9\n6ON\n60N\n4ON\n40N\nSU\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-2\n0\n2\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.26\nmean dif:\n.24\n0\n10\ns.d. of dif:\n0\n.88\n10\ns.d. of dif:\n1.14\nno. boxes:\n90N\n9\nno. boxes:\n90N\n9\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-2\n0\n2\nU (m/s)\nV (m/s)\nFigure D64\nJune 1988\nZonal\nmeans: NMC drifting buoys day minus NMC drifting buoys night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n141","global values\nboxes\nglobal\nvalues\nboxes\nmean dif:\n.61\nmean dif:\n-.03\n0\n10\ns.a. of dif:\n.71\nC\n10\ns.d. of dif:\n.19\nno. boxes:\n40\nno. boxes:\n15\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n2\n-2\n0\n0\n1\n-1\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.07\n0\n10\n0\n10\ns.d. of dif:\n.47\n40\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\nO\n9999\n2\n0\n-2\nQ (g/kg)\nP (mb)\nFigure D65\nDecember 1986\nZonal means: NMC C-MAN data day minus NMC C-MAN data night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n142","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.16\nmean dif:\n.85\n0\n10\ns.d. of dif:\n0\n10\n.13\ns.d. of dif:\n.62\nno. boxes:\n14\n90N\nno. boxes:\n40\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.31\n0\n10\ns.d. of dif:\n.25\n0\n10\nno. boxes:\n90N\n40\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D66\nJune 1988\nZonal\nmeans: NMC C-MAN data day minus NMC C-MAN data night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n143","global values\nboxes\nglobal values\nboxes\nmean dif:\n.01\n0\n10\ns.d. of dif:\n.56\nC\n10\n38\nboxes:\nno.\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n-1\n9999\n0\n-9999\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.32\nmean dif:\n.06\n0\n10\ns.d. of dif:\n.57\n0\n10\ns.d. of dif:\n.55\n38\nno. boxes:\n38\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n1\n0\n-1\n0\n2\n-2\nV (m/s)\nU (m/s)\nFigure D67\nDecember 1986\nZonal means: NMC C-MAN data day minus NMC C-MAN data night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n144","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.36\n0\n10\n0\n10\ns.d. of dif:\n.65\n90N\nno. boxes:\n40\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-2\n0\n2\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.08\nmean dif:\n-.02\n0\n10\ns.d. of dif:\n0\n10\n.97\ns.d. of dif:\n.91\nno. boxes:\n40\n90N\nno. boxes:\n40\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\nO\n2\n-2\nO\n2\nU (m/s)\nV (m/s)\nFigure D68\nJune 1988\nZonal means: NMC C-MAN data day minus NMC C-MAN data night\n= mean difference\n= s.d. of differences\n= no. of boxes used\n145","global values\nboxes\nglobal values\nboxes\nmean dif:\n.04\nmean dif:\n-.02\n0\n180\n0\n180\ns.d. of dif:\n.41\ns.d. of dif:\n.31\n6040\nno. boxes:\nboxes:\n5703\nno.\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n4\n-2\n0\n2\n-4\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.02\nmean dif:\n.05\n0\n180\n.37\n0\n180\ns.d. of dif:\ns.d. of dif:\n1.50\nno. boxes:\n5159\nno. boxes;\n6049\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n-1\n-6\n0\n6\nQ (g/kg)\nP (mb)\nFigure D69\nDecember 1986\nFNOC ships minus NMC ships\nZonal means:\n= mean difference\n= s.d. of differences\n= no. of boxes used\n146","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.06\n0\n180\n0\n180\ns.d. of dif:\n.34\ns.d. of dif:\n.38\nno boxes:\n5474\n90N\nno. boxes:\n5750\n90N\n6ON\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\nO\n1\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.02\nmean dif:\n.03\n0\n180\n0\n180\ns.d. of dif:\n1.12\ns.d. of dif:\n.44\nno. boxes:\n5767\n90N\nno. boxes:\n4942\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-1\nO\n1\nP (mb)\nQ (g/kg)\nFigure D70\nJune 1988\nZonal means:\nFNOC ships minus NMC ships\n= mean difference\n= s.d. of differences\n= no. of boxes used\n147","boxes\nglobal\nvalues\nglobal values\nboxes\nmean dif:\n-.10\nmean dif:\n-.01\n0\n180\n0\n180\ns.d. of dif:\n.67\ns.d. of dif:\n.46\nno. boxes:\n6066\nno. boxes:\n6249\n90N\n90N\n.\n60N\n6ON\n40N\n4ON\n20N\n2ON\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n2\n-3\n0\n3\n-2\nW (m/s)\nC (okta)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.01\nmean dif:\n.01\n0\n180\n0\n180\ns.d. of dif:\n.86\ns.d. of dif:\n.83\n6066\nno. boxes:\n6066\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n-2\n0\n2\n-3\n0\nV (m/s)\nU (m/s)\nFigure D71\nDecember 1986\nFNOC ships minus NMC ships\nZonal means:\n= mean difference\n= s.d. of differences\n= no. of boxes used\n148","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n-.11\n0\n180\ns.d. of dif:\n0\n180\n.51\ns.d. of dif:\n.64\nno. boxes:\n6062\n90N\nno. boxes:\n5756\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n-.03\n0\n180\n0\n180\ns.d. of dif:\n.83\ns.d. of dif:\n.80\nno. boxes:\n5756\n90N\nno. boxes:\n5756\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-2\n0\n2\nU (m/s)\nV (m/s)\nFigure D72\nJune 1988\nZonal means:\nFNOC ships minus NMC ships\nmean difference\n=\n= s.d. of differences\n= no. of boxes used\n149","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.02\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\n.31\ns.d. of dif:\n.08\nno. boxes:\n50\nno. boxes:\n45\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n1\n-1\n0\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n.05\nmean dif:\n.07\n0\n10\n0\n10\ns.d. of dif:\n.07\ns.d. of dif:\n.52\n51\nno. boxes:\n8\nno. boxes:\n90N\n90N\n60N\n60N\n40N\n4ON\nI\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n0\n1\n-1\n-2\n0\n2\nQ (g/kg)\nP (mb)\nFigure D73\nDecember 1986\nFNOC moored buoys minus NMC moored buoys\nZonal means:\n= mean difference\n= s.d. of differences\n= no. of boxes used\n150","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n.01\n0\n10\ns.d. of dif:\n0\n10\n.07\ns.d. of dif:\n.26\nno boxes:\n62\n90N\nno. boxes:\n102\n90N\n6ON\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.03\nmean dif:\n.02\n0\n10\n0\n10\ns.d. of dif:\n.97\ns.d. of dif:\n.19\nno. boxes:\n106\n90N\nno. boxes:\n53\n90N\n60N\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-4\n0\n4\n-1\n0\n1\nP (mb)\nQ (g/kg)\nFigure D74\nJune 1988\nZonal means:\nFNOC moored buoys minus NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n151","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.33\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\n.35\ns.d. of dif:\n.00\nboxes:\n48\nno. boxes:\nno.\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\nO\n2\n-1\n0\n1\nW (m/s)\nC (okta)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n-.11\nmean dif:\n.21\n0\n10\n0\n10\ns.d. of dif:\n.85\ns.d. of dif:\n.77\nno. boxes:\n48\nno. boxes:\n48\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n3\n-3\n3\n-3\n0\n0\nV (m/s)\nU (m/s)\nFigure D75\nDecember 1986\nZonal means: FNOC moored buoys minus NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n152","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.05\nmean dif:\n-.23\n0\n10\ns.d. of dif:\n0\n10\n.48\ns.d. of dif:\n.71\nno boxes:\n52\n90N\nno. boxes:\n100\n90N\n60N\n60N\n5\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-3\n0\n3\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.05\nmean dif:\n.06\n0\n10\ns.d. of dif:\n0\n10\n.82\ns.d. of dif:\n.62\nno. boxes:\n100\n90N\nno. boxes:\n100\n90N\n60N\n2\n60N\n5\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n- -3\n0\n3\nU (m/s)\nV (m/s)\nFigure D76\nJune 1988\nZonal means:\nFNOC moored buoys minus NMC moored buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n153","global values\nboxes\nglobal values\nboxes\nmean dif:\n.06\nmean dif:\n.00\n0\n45\ns.d. of dif:\n.36\n0\n45\ns.d. of dif:\n.06\n582\nno. boxes:\nno. boxes:\n542\n90N\n90N\n60N\n60N\n40N\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\no\n3\n0\n1\n-1\nA (deg C)\nS (deg C)\nglobal values\nboxes\nglobal values\nboxes\nmean dif:\n.02\nmean dif:\n.02\n0\n45\ns.d. of dif:\n.00\n0\n45\ns.d. of dif:\n.79\nno. boxes:\nno. boxes:\n647\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n1\n3\n-1\nO\n3\n0\nQ (g/kg)\nP (mb)\nFigure D77\nDecember 1986\nZonal means: FNOC drifting buoys minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n154","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n.09\n0\n45\ns.d. of dif:\n0\n45\n.22\ns.d. of dif:\n.29\nno boxes:\n339\n90N\nno boxes:\n203\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-2\n0\n2\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.03\nmean dif:\n.16\n0\n45\ns.d. of dif:\n0\n45\n1.26\ns.d. of dif:\n.11\nno. boxes:\n239\n90N\nno. boxes:\n2\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-5\n0\n5\n-1\n0\n1\nP (mb)\nQ (g/kg)\nFigure D78\nJune 1988\nZonal means:\nFNOC drifting buoys minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n155","global values\nboxes\nglobal values\nboxes\nmean dif:\n.07\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\ns.d. of dif:\n.41\n.00\nno. boxes:\nno boxes:\n55\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-3\n0\n3\n-1\n0\n1\nW (m/s)\nC (okta)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\nmean dif:\n.03\n.10\n0\n10\n0\n10\ns.d. of dif:\n.27\ns.d. of dif:\n.28\nno. boxes:\n55\nno. boxes:\n55\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-1\n0\n1\nV (m/s)\nU (m/s)\nFigure D79\nDecember 1986\nZonal means: FNOC drifting buoys minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n156","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.00\nmean dif:\n.27\n0\n10\ns.d. of dif:\n0\n10\n.00\ns.d. of dif:\n.59\nno. boxes:\n5\n90N\nno. boxes:\n18\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.14\nmean dif:\n.08\n0\n10\n0\ns.d. of dif:\n10\n.34\ns.d. of dif:\n.63\nno. boxes:\n18\n90N\nno. boxes:\n18\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-2\n0\n2\nU (m/s)\nV (m/s)\nFigure D80\nJune 1988\nZonal means: FNOC drifting buoys minus NMC drifting buoys\n= mean difference\n= s.d. of differences\n= no. of boxes used\n157","global values\nboxes\nboxes\nglobal values\nmean dif:\n.04\nmean dif:\n.00\n0\n10\n0\n10\ns.d. of dif:\n.05\ns.d. of dif:\n.02\nno. boxes:\n32\nno. boxes:\n9\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nA (deg C)\nS (deg C)\nglobal values\nglobal values\nboxes\nboxes\nmean dif:\n-.04\n0\n10\n0\n10\ns.d. of dif:\n.07\nno. boxes:\n32\n90N\n90N\n60N\n60N\n40N\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-1\n0\n1\nQ (g/kg)\nP (mb)\nFigure D81\nDecember 1986\nFNOC C-MAN data minus NMC C-MAN data\nZonal means:\n= mean difference\n= s.d. of differences\n= no. of boxes used\n158","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n.23\nmean dif:\n.10\n0\n10\n0\ns.d. of dif:\n10\n.51\ns.d. of dif:\n.19\nno. boxes:\n90N\nno boxes:\n36\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-2\n0\n2\n-2\n0\n2\nS (deg C)\nA (deg C)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.03\n0\n10\ns.d. of dif:\n0\n10\n.08\nno boxes:\n36\n90N\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-9999\n0\n9999\nP (mb)\nQ (g/kg)\nFigure D82\nJune 1988\nZonal means:\nFNOC C-MAN data minus NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n159","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.02\n0\n0\n10\n10\ns.d. of dif:\n.17\n32\nno. boxes:\n90N\n90N\n60N\n60N\n4ON\n4ON\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-1\n0\n1\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.01\nmean dif:\n.03\n0\n10\n0\n10\ns.d. of dif:\ns.d. of dif:\n.10\n.18\nno. boxes:\n32\nno. boxes:\n32\n90N\n90N\n6ON\n60N\n4ON\n40N\n2ON\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nU (m/s)\nV (m/s)\nFigure D83\nDecember 1986\nZonal means:\nFNOC C-MAN data minus NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n160","boxes\nglobal values\nboxes\nglobal values\nmean dif:\n-.01\n0\n10\n0\n10\ns.d. of dif:\n.08\n90N\nno. boxes:\n36\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-9999\n0\n9999\n-1\n0\n1\nC (okta)\nW (m/s)\nboxes\nglobal values\nboxes\nglobal values\nmean dif:\n.05\nmean dif:\n.04\n0\n10\n0\n10\ns.d. of dif:\n.12\ns.d. of dif:\n.13\nno. boxes:\n36\n90N\nno. boxes:\n36\n90N\n60N\n60N\n4ON\n40N\n20N\n20N\n0\n0\n20S\n20S\n40S\n40S\n60S\n60S\n90S\n90S\n-1\n0\n1\n-1\n0\n1\nU (m/s)\nV (m/s)\nFigure D84\nJune 1988\nZonal means:\nFNOC C-MAN data minus NMC C-MAN data\n= mean difference\n= s.d. of differences\n= no. of boxes used\n161","","Appendix E. Global maps\nGlobal maps (Figures E1-E16) are presented in order to illustrate the spatial coverage of the\nFNOC and NMC datasets and their platform subsets. Although duplicates internal to each\ndataset were removed, the untrimmed 2° monthly summaries were used to show complete\ndata coverage, including data erroneously reported over land areas or data over ocean areas\nlacking trimming limits. If any observations from either dataset appear in a given 2° box,\none of the following symbols will appear to indicate the relationship between the number of\nFNOC and NMC observations:\nsymbol\n3\nFNOC greater than NMC (NMC possibly 0) by more than 10\n1\nFNOC greater than NMC (NMC possibly 0) by 10 or less\nequal number of observations\n=\n0\nNMC greater than FNOC (FNOC possibly 0) by 10 or less\n2\nNMC greater than FNOC (FNOC possibly 0) by more than 10\nAbove each figure, a count of the number of 2° boxes containing each symbol is given, as\nwell as counts of the total number of observations from each dataset. Maps are presented\nfor sea surface temperature (SST) and air temperature (AT). The order of the figures is as\nfollows:\na) ships1\nSST December (Figure E1), June (Figure E2)\nAT December (Figure E3), June (Figure E4)\nb) moored buoys\nSST December (Figure E5), June (Figure E6)\nAT December (Figure E7), June (Figure E8)\nc) drifting buoys\nSST December (Figure E9), June (Figure E10)\nAT December (Figure E11), June (Figure E12)\nd) C-MAN\nSST December (Figure E13), June (Figure E14)\nAT December (Figure E15), June (Figure E16)\nIn December, note the sharp-edged (110°E) group of SST and AT data over\nChina/Mongolia/USSR, cause unknown, with fewer AT than SST observations from\nFNOC compared with NMC (i.e., many ='s become O's). One possible reason for fewer\nAT observations stems from the handling of AT and dew point temperature, with less\nprecision in FNOC, during conversion to CMR (cf., section 2c).\n163","90S\n79735\n74077\n90N\n60N\n30N\n30S\n60S\n0\n360E\n0\nTOTAL FNOC OBS\nTOTAL NMC OBS\n330E\n30W\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF SHIPS SST\n0\n300E\n60W\n24\nFNOC (>10)\n270E\n90W\n>\nNMC\n240E\n120W\n2\n1 11\nFNOC\n444\n210E\n150W\nNMC\nFigure E1\n0\n180E\n180W\nFNOC = NMC\n3320\n150E\n210W\n120E\n240W\nFNOC > NMC\n2844\n0\n90E\n270W\n1\n60E\n300W\n86\n3 FNOC > NMC (>10)\n30E\n330W\nBOXES PER SYMBOL\n360W\n0\n30S\n60S\n90S\n90N\n60N\n30N\n0","99967\n91294\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\nTOTAL FNOC OBS\nTOTAL NMC OBS\n30W\n330E\noff\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF SHIPS SST\n60W\n300E\nFNOC (>10)\n24\n90W\n270E\nNMC\n120W\n240E\n2\n10\nFNOC\n286\n150W\n210E\nNMC\n0\nFigure E2\n180W\n180E\nFNOC = NMC\n2921\n210W\n150E\n240W\n120E\nFNOC NMC\n3341\n270W\n90E\n300W\n60E\n198\n3 FNOC > NMC (>10)\n0\n100\n330W\n30E\nBOXES PER SYMBOL\n360W\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","30S\n60S\n90S\n96795\n91120\n90N\n60N\n30N\n0\n360E\n0\nTOTAL FNOC OBS\nTOTAL NMC OBS\n330E\n30W\n==11=01\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF SHIPS AT\n300E\n60W\n13\n(>10)\nFNOC\n270E\n90W\n00s\n>\nNMC\n240E\n120W\n2\nFNOC\n664\n210E\n150W\n>\nNMC\nFigure E3\n0\n180E\n180W\nFNOC = NMC\n3672\n150E\n210W\n120E\n240W\nFNOC > NMC\n2570\n90E\n270W\n1\n60E\n300W\n77\nFNOC NMC (>10)\n30E\n330W\n01==01\nBOXES PER SYMBOL\n360W\no\n3\n90S\n30S\n60S\n60N\n30N\n90N\n0","120517\n108254\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\nTOTAL FNOC OBS\nTOTAL NMC OBS\n30W\n330E\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF SHIPS AT\n60W\n300E\n5\nFNOC (>10)\n1000\n90W\n270E\nNMC\n120W\n240E\n2\n10\nFNOC\n377\n150W\n210E\nNMC\n0\nFigure E4\n180W\n0\n180E\nFNOC = NMC\n3119\n210W\n150E\n240W\n120E\n10=\nNMC\n3344\n270W\n90E\nFNOC\n1\n10=\n300W\n60E\nFNOC NMC (>10)\n217\n0\n10\n330W\n30E\nBOXES PER SYMBOL\n360W\n3\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","26689\n90N\n60N\n30N\n30S\n60S\n90S\n10551\n0\n360E\n0\n3\n.\n1\n0\n0\n#\nTOTAL FNOC OBS\nTOTAL NMC OBS\n2\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF MOORED BUOYS SST\n0\n330E\n30W\n0\n300E\n60W\n2\n(>10)\n1\n0\n3\n3\n3\nFNOC\n270E\n90W\n5\n3\n3\n3\n3\n3\n>\nNMC\n#\n240E\n120W\n2\nis\n3\n0 NMC > FNOC\n21\n3.\n3\n3\n210E\n150W\n0\n3\n3\n3\n0°\n3\n3\nFigure E5\n180E\n180W\n3\nFNOC = NMC\n6\n0\n1\n150E\n210W\n3\n3. 3\n=\n1\n1\n120E\n240W\nI\n1 1 FNOC > NMC\n12\n90E\n270W\n60E\n300W\n40\n3 1 FNOC > NMC (>10)\n30E\n330W\nB\nBOXES PER SYMBOL\n0\n360W\n3\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","33598\n13657\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\n1\n1\nTOTAL FNOC OBS\nTOTAL NMC OBS\n21\n30W\n1\n330E\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF MOORED BUOYS SST\n0\n1\n1\n0\n3 =\n01\n60W\n300E\n3\n8\n2 & NMC > FNOC (>10)\n3\n90W\no\n6\n3\n3\n270E\n3\na\n3\nA\n0\n120W\n240E\n03\nFNOC\n42\n03\n0\n2\n0\n150W\n0 NMC >\n210E\n3\n3\n0\n3\n03\n0\n00 0\n0\nFigure E6\n180W\n3\n180E\nFNOC = NMC\n11\n210W\n150E\n0\n3\n2.\n3,13\n240W\n120E\nNMC\n25\n270W\n90E\nFNOC\nI\n1\n300W\n60E\n43\n3 1 FNOC > NMC (>10)\n330W\nD\n30E\nBOXES PER SYMBOL\n360W\no\n90N\n60N\n30N\n30S\n60S\n90S\n0","30S\n60S\n90S\n60N\n30N\n29788\n11647\n90N\n0\n360E\n0\na\n1\nTOTAL FNOC OBS\nTOTAL NMC OBS\n2\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF MOORED BUOYS AT\n330E\n30W\n0\n1\n300E\n60W\n2\n2 4 NMC > FNOC (>10)\n0\n3\n3\n3\n3\n270E\n90W\n3\n3\n3\n3\n3\n240E\n120W\nis\n3\nFNOC\n20\n33\n3\n210E\n150W\no NMC >\n0\nG 3\n3\n3\noo\n3\n3\nFigure E7\n180E\n180W\n3\n0\nFNOC = NMC\n6\n0\n1\n150E\n210W\n3\n3. 3\nS\n1\n120E\n1\n240W\n0\nNMC\n15\n90E\n>\n270W\n1 FNOC\n1\n60E\n300W\n45\n3 1 FNOC > NMC (>10)\n30E\n330W\n3\nBOXES PER SYMBOL\n3\n360W\n3\n0\n30S\n60S\n90S\n30N\n90N\n60N\n0","40058\n16768\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\n1\n=11===1211-31\n1\nTOTAL FNOC OBS\n3\nTOTAL NMC OBS\n1=======\n8\n30W\n1\n330E\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF MOORED BUOYS AT\n0\n0\n3\n3 00 0\n0\n60W\n300E\n5\n2 . NMC > FNOC (>10)\n3\n3\n90W\no\n3\n3\n270E\n3\n3\n3\n3\n0\n120W\n240E\n03\n0 NMC > FNOC\n47\n03.0\n2\n3\n0\n0\n2\n0\n150W\n210E\n3\nG\n3\nIf\no\n98\n3\n03\n0\n00\n0\n0\nFigure E8\n180W\n00\n180E\n3\nFNOC = NMC\n41\n210W\n150E\n3\n3\n1.1. 3\n240W\n120E\n1\n1 . FNOC > NMC\n42\n1\n270W\n90E\n300W\n60E\n3 1 FNOC > NMC (>10)\n54\n1\n330W\n3\n30E\n0\nBOXES PER SYMBOL\nB\n360W\n0\n3=\n1\n3\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","30S\n60S\n90S\n38805\n36422\n90N\n60N\n30N\n0\n360E\n0\n3\n000222 0\n00220000\n02222\n0 20\n0200020\n13\n0011121\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF DRIFTING BUOYS SST\nTOTAL FNOC OBS\n333\n0\n33\n0\nTOTAL NMC OBS\n1\n1=0=\n31331\n=0=01\n011\n=11\n330E\n30W\n0111=1\n1113\n01\n1=1100\n10\n130\n33131\n011=\n310333\n1\n03\n11\n01\n31\n300E\n60W\n100\n28\n2 4 NMC > FNOC (>10)\n270E\n90W\n\"\n11 11\n01\n11\n31\n3 11 37\n131311\n111131\n11 12\n1=31\n==\n240E\n120W\n11\n11\n1311\n11\n3.\n=\n1\nFNOC\n128\n3\n3\n33\n33\n133\n0\n10331\n1\n33\n01\n11\n210E\n150W\nP==\n1\nNMC >\n31\n11=1\n00\n1111\n13\n0\nFigure E9\n0\n180E\n180W\n11,\n01\n111\n1=\n11=1\n10\n11\nFNOC = NMC\n83\n31\no\n011\nno\n0 =1111\n0010\n150E\n210W\n10\n01=\ndo\nDO\n=11=\nD\n1\n11\n11\n11\n=\nTOO\n120E\n240W\n0\n1 FNOC > NMC\n311\n1=1\n311\n1111\n0\n1=1010 111\n90E\n270W\n1=0=\n31\n01\n1\n3\n11\n1\n011\n13\n131\n03\n0210=0\n60E\n300W\n11\n0=0\n1\n3\n1==\n11\n1\n121\n87\n3 4 FNOC > NMC (>10)\n1\n0301\n00013\n30E\n=3 1\n330W\n=1\nBOXES PER SYMBOL\n=1111\n202220000\n131\n011\no\n31 1\n200\n360W\n80\n0\n30N\n30S\n60S\n90S\n90N\n60N\n0","22093\n21167\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\n0\n23010\n.\n333'0\"\nd\n333=\nofo-\n30\n31\nTOTAL FNOC OBS\n1\nTOTAL NMC OBS\n00\n121\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF DRIFTING BUOYS SST\n33\n2=\n30W\noff\n001\n330E\n33\n=0011\nOr\n=03333\n11\n3333\n0\n33\n2=\n33\n001\n1211\n=1\n3=\n0\n60W\n33\n300E\n0\n12\n56\n(>10)\n> FNOC\n11\n90W\n270E\n1\n=0 1101\n?\n1\n101011\n0311\n032\n11\n88\nNMC\n3\nI\n0\n1\n0\n11101\nP1\n10\n030\n.\n120W\noo\n211\n2\n01\n1\n2\n240E\n2.\n1\n2200\n2100\n0 NMC > FNOC\n179\non\n22\n11\n0\n0\n=00000\n008\n150W\n0 0000 o\n312\n13\n20\n01\n01\n8\n2\n210E\n00\n02\na\n33\n1\n88\n800\n001\n21\n3\n02\n100\n220=\n33\n012\n02\nFigure E10\n09\n1000\n2\n?\n180W\n12001\n88\n:\n00\n1 80E\n01 ¥\no\n02==000100\n0=0001\nFNOC = NMC\n33\n0\n21\n=31\n2\n111313\n00\n80\n210W\n1333\n150E\n1333\n11\n13\n2\n001\n1\n33\n3\n=\n1\n240W\n120E\n0\nNMC\n31\n13\n141\n210\n270W\n00\n0\n201\n90E\n- FNOC\n011\n0\n1\n2\n300W\n60E\n1\n69\n3 1 FNOC > NMC (>10)\n3=110\n200120\n2\n330W\n11\n200\n30E\nD\nBOXES PER SYMBOL\n1211000\nB\n8\n000\n00 0\n20\n360W\n2\n20\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","2 30S\n60S\n90S\n60N\n38089\n33928\n90N\n30N\n0\n360E\n0\n10111==\n00\n0111101\n03331\n13\n3\n11111\n0111101\nTOTAL FNOC OBS\n13\n1\n3\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF DRIFTING BUOYS AT\n11\nTOTAL NMC OBS\n1\n1111\n31331\n=0-01\n1\n131\n10031\n330E\n30W\n01\n11111=\n130\n011=\n113\n1\n3\n1\n01\n1\n31\n300E\n60W\n100\n0\n3\n(>10)\nFNOC\n270E\n90W\n$\n>\nNMC\n1=31=\n133\n1\n240E\n120W\n1\n2\n0\n0 NMC > FNOC\n83\n3\n33\n33\n0\n01\n11\n0\n210E\n150W\n33\n1\nFigure E11\n180E\n180W\n11;\n01\n111\n10\n13\nFNOC = NMC\n141\n13\n31\n33111\no\n3313\n=1111\n0010\n150E\n210W\n3310\noo\n1\n31111\nto\n120E\n240W\n3 133331=131\n0\nNMC\n385\n1111\n90E\n>\n270W\n1=01\n101011\nFNOC\n31\n01\n110\n3 31 1\n131\n1\n1\n83\n60E\n300W\n111=1\n-11\n1==\n11\n1\n1\n83\n3 1 FNOC > NMC (>10)\n1\nof\n0\n1311\n=1 33\n11\n03333\n30E\n=3 1\n330W\nD\n11=\n1\nBOXES PER SYMBOL\n=1111\n1333111\n=1\n11=111=11\n8\n1=101111=\n31111\n360W\n31\n33\n00\n0\n30N\n30S\n60S\n90S\n90N\n60N\n0","15654\n14685\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\n0\n23010\n#\n01\n33300\n333=\noto\nTOTAL FNOC OBS\n133\nTOTAL NMC OBS\n00\n121\n2=\n30W\nBUOYS AT\n330E\n=0011\n131111\n00\n0\n133\n33\n33\n001\n211\n60W\n300E\n0\n$\n12\n34\n1>101\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF DRIFTING\nFNOC\n90W\nto\n5\n270E\n1\n2\n0311\n>\n0\n88\nNMC\n1\n10\n030\n120W\noo\n211\n240E\n2\n01\n1\n2.\n2200\n2100\n30\n80\nFNOC\n128\n331\n22\n0\n0\n33\n0\n150W\no 0000 o\nNMC >\n13\n210E\n8\n02\n33\n21\n=08\n100\n33\n023\nFigure E12\n01\n2\n0\n180W\n8\n01\n08\n=1131\n:\n180E\n0\n00\nD=0001\n02==0001\n211\nFNOC = NMC\n26\n011\n111311\n80\n210W\n1331\n150E\n00\n1333\n11\n13\n001\n1\n33\n3\n1\n240W\n120E\n1\n31\n13\n1\nNMC\n105\n210\n00\n>\n270W\n0\n201\n90E\nFNOC\n011\n0\n1\n300W\n60E\n1\n53\n3 . FNOC > NMC (> 10)\n0\n3=110\n200120\n2\n0\n0\n200\n0\n11\n330W\n30E\n0\nB\nBOXES PER SYMBOL\n1211000\nB\n8\n000\n20\n360W\n1\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","30S\n60S\n90S\n6753\n3124\n90N\n60N\n30N\n0\n360E\n0\nTOTAL FNOC OBS\nTOTAL NMC OBS\n330E\n30W\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF C-MAN - SST\no\n300E\n60W\n5\n2 1 NMC > FNOC (>10)\n270E\n90W\n240E\n120W\n0 NMC > FNOC\n3\n210E\n150W\nFigure E13\n180E\n180W\non\nFNOC = NMC\n0\n150E\n210W\n=\n120E\n240W\nFNOC > NMC\n0\n90E\n270W\n1\n60E\n300W\n10\n3 1 FNOC > NMC (>10)\n30E\n330W\nB\nBOXES PER SYMBOL\n360W\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","7473\n3248\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\n1\nTOTAL FNOC OBS\nTOTAL NMC OBS\n30W\n330E\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF C-MAN SST\n60W\n300E\n4\n(>10)\nFNOC\n333\n90W\n\"\n270E\n2\n28\na\n>\nNMC\n.\n120W\n240E\n2\nFNOC\n0\n150W\n>\n210E\n0 NMC\nFigure E14\n180W\n180E\nFNOC = NMC\n0\n210W\n150E\n=\n240W\n120E\nNMC\n0\nFNOC >\n270W\n90E\nA\n1\n300W\n60E\n3 : FNOC > NMC (>10)\n11\n330W\n30E\nD\nBOXES PER SYMBOL\n360W\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","90S\n30S\n60S\n24850\n9499\n90N\n60N\n30N\n0\n360E\n0\n1\nTOTAL FNOC OBS\nTOTAL NMC OBS\n2\n330E\n30W\nDECEMBER 1986 UNTRIMMED 2 DEGREE NOBS OF C-MAN AT\n300E\n60W\n7\n2 : NMC > FNOC (>10)\n270E\n90W\n240E\n120W\no NMC > FNOC\n2\n210E\n150W\nFigure E15\n180E\n180W\nFNOC If NMC\n0\n150E\n210W\n120E\n240W\n0\n1 I FNOC > NMC\n0\n90E\n270W\n60E\n300W\n35\n3 1 FNOC > NMC (>10)\n30E\n330W\nBOXES PER SYMBOL\n360W\n0\n90S\n30S\n60S\n90N\n60N\n30N\n0","24470\n9616\n90N\n60N\n30N\n30S\n60S\n90S\n0\n360E\n0\n:\nTOTAL FNOC OBS\nTOTAL NMC OBS\n30W\n330E\n0\n00\nJUNE 1988 UNTRIMMED 2 DEGREE NOBS OF C-MAN AT\n60W\n300E\n6\n2 & NMC > FNOC (>10)\n233\n90W\n5\n270E\n28\n120W\n240E\nFNOC\n3\n150W\n>\n210E\n0 NMC\nFigure E16\n180W\n180E\nFNOC = NMC\n0\n210W\n150E\n240W\n120E\n1 FNOC > NMC\n0\n270W\n90E\n1\n300W\n60E\n35\n3 - FNOC > NMC (>10)\n330W\n30E\n0\nBOXES PER SYMBOL\n360W\n0\n90N\n60N\n30N\n30S\n60S\n90S\n0","","Appendix F. Dataset overlap checks\n1. Introduction\nThe NMC, FNOC, and GWC datasets are all compilations of \"real time\" data available over\nGTS or related (e.g., Department of Defense) networks from a variety of platform types\n(Autodin contains declassified Navy ship data). However, the completeness of receipts in\nany one of the datasets, relative to the maximum possible collection, may depend on factors\nsuch as cutoffs imposed by the various centers after which data applicable to a given hour\nwill no longer be accepted (e.g., ~9 hours at NMC for the data used in this report),\ncomputer or network malfunctions, and deliberate suppression of data from selected\nplatform types or hours. For example, off-3-hourly data (cf., footnote on p. 14) from\nmoored buoys and C-MAN stations generally are not retained by NMC.\nTwo general techniques were used to estimate the numbers of reports unique to each\ndataset. In the first technique, cross checks for duplicates between the NMC and FNOC\ndatasets were made using interim duplicate elimination (after it had been applied to each\ndataset separately) and the resulting numbers of reports eliminated or retained by duplicate\nelimination were used to estimate report uniqueness (section 2). The second technique,\nused to estimate the extent of overlap among all the datasets including Autodin and GWC,\nemployed tabulations of reports per call sign and hour for 1 December 1986 (section 3).\n2. Checks between NMC and FNOC data\nThe cross checks between the NMC and FNOC data were based on the interim duplicate\nelimination method (cf., pp. 7-8), which yielded the following report counts including the\ntotal independent (MAX) reports in the combined FNOC+NMC output (see Figure F1):\na = FNOC input (internally duplicate free)\nb = NMC input (internally duplicate free)\nC = FNOC duplicates (with respect to NMC) eliminated\nd = NMC duplicates (with respect to FNOC) eliminated\ne = FNOC output\nf = NMC output\nfrom which the number of reports shared by the two datasets, X, and the numbers unique to\neach dataset, y and z, were derived\nx=c+d\ny=a-x\nz=b-x\nThus the total number of independent reports, MAX, was\nMAX=x+y+z=e+f\nand the percentages unique to FNOC and NMC, respectively, were\ny/MAX * 100 and z/MAX * 100.\nFNOC\nFNOC\nC\na\ne\nC\nb\nd\nd\nNMC\nNMC\nFigure F1. FNOC/NMC report counts input (a/b), duplicate (c/d), and output (e/f).\n181","Table F1 shows results from the cross checks for 3- and 6-hourly data. Because of the\nlimitations imposed by NMC on retention of off-3-hourly data from moored buoys and C-\nMAN stations, and because ship data are primarily 6-hourly, the Table F1 comparisons are\ngenerally more meaningful than all-hourly comparisons, shown in Table F2. Two more-\nrestrictive variations on the interim method, which required the call signs of two matching\nreports to be exactly or nearly equal (Table F3), eliminated fewer duplicates (cf., Figure 2).\nCross checks also were performed to estimate dataset overlaps within each combined set of\nFNOC and NMC reports possessing the same call sign. Table F4 was created by\ncomparing schedules for the ships in the NOAA fleet with tabulations of the results of such\ncross checks. In December, 6 of the 8 ships sailing showed reports from both datasets; in\nJune, reports were listed for 19 of the 21 ships sailing during the month.\nErrors of eliminating unique reports, or of failing to eliminate duplicates could have\ndistorted uniqueness estimates. To investigate the latter type of error only, a manual check\nwas performed on all-hourly listings of June FNOC+NMC reports for selected platforms\n(Table F5). The uniqueness estimates presented throughout this section may have been\ninflated (cf., Table 2) by this type of error. For example, percentages of reports unique to\nFNOC dropped by 42% for one ship with a systematic location bias, and percentages of\ndrifting buoy reports by 5%-17%.\nA similar, automated analysis of all the June FNOC+NMC data for each platform type was\nused to count multiple reports within each day-hour with the same (non-generic) call sign.\nAssuming all reports except one within a given day-hour were undetected duplicates, this\nanalysis yielded percentages of 3% for ships, 1% for moored buoys, 17% for drifting\nbuoys, and 6% for C-MAN, by which the total number of independent (MAX) reports may\nbe inflated. For miscellaneous platforms, multiple OSV reports almost never appeared\nwithin an hour.\nHowever, whether all drifting buoy reports within an hour should be classified as\nduplicates is questionable, as multiple receipts typically may be combined into a \"best\"\nreport at receiving centers (e.g., Service Argos) prior to input to GTS, although processing\nat Local User Terminals may differ. Carrying time and space coordinates to higher\nprecision in future formats would assist in identifying within-hour unique data.\nAs a check for platform separation problems, the \"combined\" FNOC file and the\n\"combined\" NMC file (cf., Table 1) were each run through interim duplicate elimination,\nwhich revealed any cross-deck matches. Because NMC reports with the generic call sign\nBUOY had previously been assigned to drifting buoys (deck 894), FNOC BUOY reports\nwere initially assigned to deck 794. However, numerous matches were discovered in June\ndata of BUOY reports to moored buoy reports with numeric call signs. Therefore, for June\nonly, all BUOY reports were reassigned from deck 794 into 793 (2,885) and from deck\n894 into 893 (2,076). BUOY reports were not reassigned in December data, because\nfewer moored/drifting buoy matches occurred. Numerous moored buoy/miscellaneous\nplatform matches also occurred in June data, i.e., 793/796 (1,082) and 893/896 (422).\nExamples have shown that this problem may be similar to the misassignment of BUOY\nreports, in that miscellaneous reports with the generic call sign PLAT matched moored\nbuoys with numeric call signs.\nTables F6-F10 list FNOC+NMC call sign entries for June 1988, respectively for reports\nfrom moored buoys, drifting buoys, C-MAN, miscellaneous platform types, and ships\n(abbreviated). Within each table, call sign entries are listed in alphabetical order. For each\ncall sign entry, the monthly numbers of reports found in the FNOC and NMC datasets are\ngiven, as well as the percentages of those reports off-6-hourly (i.e., not 0000, 0600, 1200,\nor 1800 UTC) and off-3-hourly (not 0000, 0300, 0600, 0900, 1200, 1500, 1800, or 2100\n182","UTC). Given also for each call sign entry are the total number of independent (MAX)\nreports and percentages of that total represented only in FNOC or NMC data (as for Table\nF5, interim duplicate elimination was applied here only among reports with the same call\nsign) At the end of each table, totals are given for the number of call sign entries, for the\nnumbers of reports in each dataset (all-hourly, off-6-hourly, and off-3-hourly), for the\nnumber of independent (MAX) reports, and for the number (out of MAX) unique to each\ndataset.\nOne contributing factor for the large number of ship call sign entries (e.g., 9,316 for\nDecember) is the method of FNOC platform separation (cf., Table 1), which relegated call\nsigns that failed to match any other pattern to the ship files. Examination of the tabulations\nrevealed some minor contamination of the FNOC ship files (e.g., one \"RIGGF\" report for\nDecember 1986), but no systematic problems were apparent. Another factor was call signs\ncontaining non-alphanumeric characters, such that the resultant character was usually\ndifferent for FNOC (/) versus NMC (*). In December for example, one FNOC report\nappeared with the call sign \"DUT/\" and one NMC report with \"DUT*,\" and similarly two\nreports each with \"DUTU/\" and \"DUTU*\" (within the call sign series allocated to the\nPhilippines; U.S. Coast Guard, 1981).\nOn the other hand, the method of interpreting FNOC call signs has the drawback of failing\nto differentiate between (originally) 5-letter ship, if any, and drifting buoy call signs. Thus\nany genuine FNOC ship reports with 5-letter call signs (limited to A, ,J) were\nerroneously assigned to the drifting buoy files. However, Tables F7 and F10 do not seem\nto show evidence of this problem.\n3. Checks among NMC, FNOC, Autodin, and GWC data\nThe checks among the NMC, FNOC, Autodin, and GWC datasets were based on data\nfrom 1 December 1986. In order to check for reports unique to (or missing from) the\ndifferent datasets, Tables F11-F14 were constructed by counting the number of reports per\ndataset, call sign, and hour. By using this method the latitude/longitude coordinates of\npresumably matching reports were ignored, as well as all other fields except for the call\nsign and hour. In addition, duplicates internal to each dataset were automatically\nsuppressed in summary calculations (of unique and MAX reports) by counting a given call\nsign/hour table entry only once whether it had one or more reports. The method seemed\nreasonably successful except in the case of GWC moored and drifting buoys. Also,\ndifferent vessels reporting with generic call signs such as SHIP, PLAT, and RIGG were\ncounted together (e.g., SHIP reports represent ~5% of the total ship data). Results for\ndifferent platform types are discussed in the following (Autodin contained only ship data):\na) Moored buoys\nTable F11 gives counts for FNOC versus NMC moored buoys, which have been separated\ninto U.S. and foreign buoys based on NDBC (1990) and sorted by buoy number (call\nsign). Note that in NMC off-3-hourly moored buoy reports are deliberately limited, and\nsince NDBC provides an improved version of the U.S. buoys, only the foreign buoy data\nare of much interest.\nThe summary at the end of Table F11 for 3-hourly foreign buoys shows 28%/6% of the\ntotal independent (MAX) reports unique to FNOC/NMC. (A given entry for an hour and\nindividual call sign is counted as unique if one dataset contributed at least one report when\nthe other dataset contributed zero. The MAX is calculated as the sum of call signs for a\ngiven hour having at least one report in at least one dataset.)\n183","GWC moored buoy reports for this date were assigned call signs from the series DB01-\nDB84 (plus BUOY), with another number of the form 992xx0 (for DBxx) recorded in the\nstation block. No attempt was made to link these numbers to the usual WMO buoy\nnumbers used by NMC and FNOC. However, it is noteworthy that GWC had only 44 call\nsigns, versus 57 for FNOC/NMC.\nb) Ships\nTable F12 is a three-way comparison of FNOC, NMC, and GWC for U.S. ships (call\nsigns beginning with K, N, or W). The few Autodin reports that duplicate call signs in the\nother datasets are indicated by an \"X\" (88% of the 98 Autodin reports appeared unique).\nBecause of computer memory limitations, Table F12 was constructed from two tables for\nship data similar to Table F11 (FNOC versus NMC, and FNOC versus GWC), which\nwere then merged to produce Table F12.\nA summary for U.S. call signs at the end of Table F12 shows the number of reports per\nhour missing out of the total independent (MAX) reports when only one of the three\ndatasets is used, and unique to each dataset (i.e., not found in either of the other two\ndatasets). For comparison, Table F12 also includes summary results for only ships with\ncall signs starting with U and V (some or all ships from USSR, Canada, Australia, UK,\nand India), and for all ships. The results for all ships show 6%, 10%, and 9% of MAX\nmissing from FNOC, NMC, and GWC alone, and 1%, 3%, and 1% of MAX unique to the\nthree respective datasets. Results for call signs starting with U or V are similar but with\nsmaller percentages of unique data, and missing/unique percentages for the U.S. call signs\nare generally larger.\nBecause GWC ship call signs were restricted to 4 characters (~10% of the ship call signs\nexceeded 4 characters), an exact match of the full 7-character fields would produce\nmisleading results (e.g., ERWV in GWC appears as ERWVNE1 in NMC). For this reason\nand because of related problems, all of the Table F12 results were based on a match of the\nfirst 4 characters (note that a small number of results may still be incorrect if some call\nsigns have the same first 4 characters). A summary is also included at the end of Table F12\nof the results of various two-way comparisons using exact or 4-character call sign\nmatching.\nc) Miscellaneous (OSV, PLAT, and RIGG)\nTable F13, a three-way (FNOC/NMC/GWC) comparison for OSV C, L, and M, shows\n29% of the MAX reports missing from NMC. Both FNOC and GWC contain all the MAX\nreports. Two-way comparisons (not shown) give the following counts for RIGG and\nPLAT data, which may include some duplicates:\nCanadian \"waverider\" buoys (call signs ERWVNE, HUWVGB, HUWVNE, HUWVSE,\n1\nSCWVSO, and SUWVNE) located in the Great Lakes were assigned by NCDC to NMC\ndeck 892 (ships). In the original NMC format, the field for report type indicated 522\n(moving ship with name), and only wave period and height were reported ~3-hourly from\nfixed locations.\n184","Total reports\nPLAT\nRIGG\nFNOC\n377\n70\nNMC\n181\n66\nGWC\n364\n66\nd) Drifting buoys\nTable F14, a three-way (FNOC/NMC/GWC) comparison for drifting buoys, shows 26%\nof the MAX reports unique to GWC, but only 5%/2% unique to FNOC/NMC (Table F14\nalso includes a summary of two-way comparison results). On the basis of comparisons of\nindividual reports (Appendix C), GWC drifting buoy data seem to have errors in hour.\n185","Table F1. Dataset overlap comparisons, only using 3- or 6-hourly data (i.e., only 0000,\n0300, 0600, 0900, 1200, 1500, 1800, and 2100 UTC, or only 0000, 0600, 1200, and\n1800 UTC). For each platform type after internal duplicate elimination, unique reports\nwere identified using the cross check for duplicates between the NMC and FNOC datasets,\nwhich yielded the total number of independent (MAX) reports (FNOC+NMC).\nDecember 1986 (3-hourly)\nMAX\nFNOC\nNMC\nUnique\n%\nUnique\n%\nPlatform\nReports\n4.85%\n10049\n9.85%\n4947\nShips\n102055\n1051\n8.53%\nMoored buoys\n12318\n638\n5.18%\n28.53%\n4681\n20.53%\nDrifting buoys\n22797\n6504\n11379\n1990\n17.49%\n3064\n26.93%\nC-MAN\n280\n3.78%\nMiscellaneous\n7402\n501\n6.77%\nDecember 1986 (6-hourly)\nNMC\nMAX\nFNOC\nUnique\n%\nUnique\n%\nPlatform\nReports\n4563\n4.90%\n93071\n9395\n10.09%\nShips\nMoored buoys\n6193\n298\n4.81%\n625\n10.09%\n2583\n23.48%\n2485\n22.59%\nDrifting buoys\n11001\n1615\n28.41%\n5684\n980\n17.24%\nC-MAN\n191\n4.57%\nMiscellaneous\n4178\n276\n6.61%\nJune 1988 (3-hourly)\nNMC\nMAX\nFNOC\nUnique\n%\nUnique\n%\nPlatform\nReports\n1.84%\n11.25%\n2263\nShips\n123138\n13857\n1342\n7.33%\n968\n5.29%\nMoored buoys\n18296\nDrifting buoys\n11750\n3931\n33.46%\n3425\n29.15%\n26.52%\n11244\n1651\n14.68%\n2982\nC-MAN\n.47%\n574\n17.85%\n15\nMiscellaneous\n3216\nJune 1988 (6-hourly)\nMAX\nFNOC\nNMC\n%\nUnique\n%\nUnique\nPlatform\nReports\n1995\n1.77%\nShips\n112666\n12093\n10.73%\n710\n7.14%\nMoored buoys\n9947\n585\n5.88%\n35.23%\n20.00%\n2188\nDrifting buoys\n6210\n1242\n1505\n26.73%\n5630\n811\n14.40%\nC-MAN\n8\n.49%\nMiscellaneous\n1644\n213\n12.96%\n186","Table F2. Dataset overlap comparisons, as for Table F1 but using all-hourly data (note that\noff-3-hourly moored buoy and C-MAN data are deliberately limited by NMC).\nDecember 1986\nMAX\nFNOC\nNMC\nPlatform\nReports\nUnique\n%\nUnique\n%\nShips\n104181\n11258\n10.81%\n5100\n4.90%\nMoored buoys\n31509\n19136\n60.73%\n1259\n4.00%\nDrifting buoys\n67811\n19010\n28.03%\n14623\n21.56%\nC-MAN\n28045\n18461\n65.83%\n3194\n11.39%\nMiscellaneous\n14568\n6768\n46.46%\n314\n2.16%\nJune 1988\nMAX\nFNOC\nNMC\nPlatform\nReports\nUnique\n%\nUnique\n%\nShips\n125200\n15083\n12.05%\n2331\n1.86%\nMoored buoys\n42999\n25300\n58.84%\n1134\n2.64%\nDrifting buoys\n34755\n11573\n33.30%\n10005\n28.79%\nC-MAN\n27535\n17893\n64.98%\n2994\n10.87%\nMiscellaneous\n7802\n4658\n59.70%\n19\n.24%\nTable F3. Dataset overlap comparisons for June 1988, as for Table F2 but with the cross\ncheck modified to be call sign sensitive, either by requiring that call signs match exactly\n(upper), or relaxing that requirement to allow generic call signs (SHIP, BUOY, and\nDRIBU) to match any other call sign and allowing \"*\" to match \"I\" (lower).\nJune 1988 (call sign sensitive)\nMAX\nFNOC\nNMC\nPlatform\nReports\nUnique\n%\nUnique\n%\nShips\n132879\n19405\n14.60%\n5025\n3.78%\nMoored buoys\n46525\n26962\n57.95%\n1235\n2.65%\nDrifting buoys\n34807\n11622\n33.39%\n10047\n28.86%\nC-MAN\n27535\n17893\n64.98%\n2994\n10.87%\nMiscellaneous\n7808\n4658\n59.66%\n24\n.31%\nJune 1988 (call sign sensitive, with generic and *=/)\nMAX\nFNOC\nNMC\nPlatform\nReports\nUnique\n%\nUnique\n%\nShips\n129972\n16637\n12.80%\n3839\n2.95%\nMoored buoys\n43627\n25922\n59.42%\n1147\n2.63%\nDrifting buoys\n34777\n11592\n33.33%\n10021\n28.82%\nC-MAN\n27535\n17893\n64.98%\n2994\n10.87%\nMiscellaneous\n7808\n4658\n59.66%\n24\n.31%\n187","Table F4. Reports from the NOAA fleet (FNOC/NMC), shown for ships at sea during\nDecember 1986 and June 1988, or left blank for ships not at sea. Values for December\nwere taken from tabulations of reports in TD-1129 format (untrimmed, including\nduplicates). Values for June were taken from Table F10, based on reports in CMR format*\n(trimmed, duplicates eliminated), with the total number of independent (MAX) reports\nshown in parentheses.\nCall Sign\nShip Name\nDecember 1986\nJune 1988\nKJLM\nMurre II\n0/0\nKNBD\nDelaware II\n64/62\n86/83 (89)\nWMVC\nCobb\n40/36 (40)\nWMVF\nAlbatross IV\n82/81\n12/11 (12)\nWTDF\nTownsend Cromwell\n4/3\n189/183 (191)\nWTDK\nDavid Starr Jordan\n10/11\n29/31 (31)\nWTDL\nChapman\n3/3 (3)\nWTDM\nMiller Freeman\n78/75 (78)\nWTDO\nOregon II\n127/122 (127)\n5/5 (7)\nWTEA\nDiscoverer\nWTEB\nFairweather\n64/64 (64)\nWTEF\nRainier\n94/94 (94)\nWTEG\nMt. Mitchell\n29/27 (29)\nWTEJ\nMcArthur\n67/66\n0/0\nWTEK\nDavidson\n151/148 (152)\nWTEP\nOceanographer\n58/56\n113/58 (114)\nWTEQ\nPeirce\nWTER\nMalcolm Baldrige (Researcher)\nWTES\nSurveyor\n91/90 (91)\nWTET\nRude\n0/0\n42/40 (43)\nWTEW\nWhiting\n77/70 (77)\n55/30 (56)\nWTEY\nHeck\n0/0\n39/38 (39)\nWTEZ\nFerrel\n* For this purpose, the CMR format was extended to carry call sign.\n188","Table F5. Uniqueness error estimates using all-hourly FNOC+NMC data for selected\nplatforms (June 1988). Errors were introduced by failures of interim duplicate elimination\n(applied in this data sample only among reports with the same call sign) to detect duplicates\nbecause of variations in position. Reports for each call sign were sorted by day and then\nby hour, irrespective of latitude and longitude, and within-hour reports, irrespective of day,\nwere printed together for visual inspection. For each call sign, the total number of\nindependent (MAX) reports is given, as well as a count of the number of undetected FNOC\nduplicates (Errors), the number of FNOC unique reports adjusted by subtracting the\nnumber of errors, and the unadjusted (from a complete version of Tables F6-F10) and\nadjusted percentages of unique FNOC reports. Also given are counts of undetected\nFNOC/FNOC and NMC/NMC duplicates.\nCall sign\nMAX\nErrors\nAdj/FNOC\nUn%\nAd %\nFNOC/FNOC\nNMC/NMC\nShips\nCG2960\n184\n0\n19\n10%\n10%\n0\n1\nNUGZ\n85\n0\n37\n44%\n44%\n0\n0\nUWFA\n119\n50 *\n0\n42%\n0%\n1\n2\nVSBZ7\n87 *\n1\n28\n32%\n32%\n1\n4\nMoored buoys\n16021\n197\n0\n58\n29%\n29%\n0\n0\n44005\n197\n0\n131\n67%\n67%\n0\n0\n44153\n201\n0\n39\n19%\n19%\n0\n0\n+\n62141\n199\n93\n13\n53%\n7%\n0\n0\nDrifting buoys\n25522\n91\n5\n38\n47%\n42%\n1\n0\n32514\n158\n28\n23\n32%\n15%\n0\n2\n43502\n210\n24\n15\n19%\n7%\n0\n5\n46683\n144\n12\n76\n61%\n53%\n0\n0\nC-MAN\nDPIA1\n183\n0\n18\n10%\n10%\n0\n0\n§\nGDIL1\nfirst\n200\n48\n101\n74%\n51%\n0\n0\nMDRM1\n\"\n200\n0\n133\n66%\n66%\n0\n0\nTPLM2\n\"\n200\n0\n135\n64%\n64%\n0\n0\nMisc. (OSV)\nC7C\n11\n200\n0\n87\n44%\n44%\n0\n1\nC7L\n\"\n200\n0\n102\n50%\n50%\n0\n0\nC7M\n\"\n200\n0\n95\n46%\n46%\n0\n0\n* FNOC/NMC duplicates systematically displaced by 0.1° longitude.\n** Two reports with call signs VSBZ78 and VSBZ70 were included.\n+ FNOC/NMC duplicates both at 58°N, 0°E but assigned to different 2° boxes (this\nambiguity is allowed by the 2° box system at 0°E; see Release 1, supp. G).\nFNOC/NMC duplicates frequently displaced by 0.1° latitude and/or longitude.\n§ FNOC reports misplaced 0.1° eastward from assigned 29.3°N, 90.0°W.\n189","Table F6. Moored buoys (793/893) June 1988.\n% Of f-6 % Of f-3\n% FNOC\n% NMC\nCall\nFNOC\n% Of f-6 % Of f-3\nNMC\nMAX\n0015KG\n0\n.00\n00\n1\n00\n00\n1\n00\n100.00\n00\n100.00\n03000\n0\n.00\n.00\n1\n00\n00\n1\n100.00\n03064\n0\n00\n.00\n1\n00\n.00\n1\n00\n100.00\n04136\n.00\n1\n00\n00\n1\n100.00\n.00\n1\n.00\n1\n.00\n100.00\n0421\n0\n.00\n.00\n1\n00\n1\n.00\n100.00\n061609\n0\n.00\n.00\n1\n100.00\n.00\n00\n100.00\n0814WT\n0\n.00\n.00\n1\n00\n.00\n1\n.00\n10096\n1\n00\n00\n0\n00\n00\n1\n100.00\n1013WM\n0\n00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n1023WT\n0\n.00\n.00\n2\n00\n00\n2\n.00\n100.00\n110123\n0\n.00\n.00\n1\n00\n.00\n1\n00\n100.00\n11111\n1\n00\n00\n0\n00\n.00\n1\n100.00\n00\n100.00\n.00\n11112\n1\n00\n00\n0\n00\n.00\n1\n12111\n1\n00\n00\n0\n00\n00\n1\n100.00\n00\n1424PG\n0\n00\n00\n1\n00\n00\n1\n00\n100.00\n00\n1\n100.00\n00\n15004\n1\n.00\n00\n0\n00\n29.44\n5.08\n16021\n187\n83.96\n72.73\n139\n82.73\n76.98\n197\n66.88\n233\n33.91\n4.72\n17003\n222\n82.88\n65.77\n154\n77.92\n21\n100.00\n80.95\n44\n52.27\n6.82\n17011\n41\n100.00\n68.29\n100.00\n.00\n17355\n1\n00\n00\n0\n00\n00\n1\n20106\n39\n46.15\n.00\n33\n42.42\n00\n39\n15.38\n.00\n20201\n1\n100.00\n.00\n1\n100.00\n00\n1\n.00\n.00\n.00\n00\n20301\n1\n100.00\n.00\n1\n100.00\n00\n1\n.00\n20403\n1\n100.00\n.00\n1\n100.00\n00\n1\n00\n45.81\n00\n236\n24.15\n.42\n21001\n235\n49.79\n00\n179\n214\n24.77\n.47\n21002\n213\n50.23\n.00\n161\n46.58\n00\n23.85\n84\n21004\n237\n49.79\n.00\n182\n46.15\n00\n239\n100.00\n210R\n0\n.00\n.00\n1\n00\n00\n1\n.00\n182\n46.15\n.00\n238\n23.53\n42\n22001\n237\n49.79\n00\n00\n.00\n1\n100.00\n00\n24041\n1\n100.00\n100.00\n0\n20.00\n00\n5\n.00\n26090\n4\n100.00\n.00\n5\n100.00\n1\n100.00\n00\n29121\n1\n00\n.00\n0\n00\n.00\n00\n100.00\n301004\n0\n.00\n.00\n1\n00\n00\n1\n301184\n0\n.00\n.00\n1\n00\n00\n1\n.00\n100.00\n00\n1\n.00\n100.00\n302004\n0\n00\n.00\n1\n00\n1\n.00\n100.00\n302184\n0\n00\n.00\n1\n00\n00\n.00\n100.00\n303004\n0\n00\n00\n1\n00\n00\n1\n100.00\n303184\n0\n00\n00\n1\n.00\n00\n1\n.00\n310004\n0\n00\n00\n1\n00\n00\n1\n.00\n100.00\n00\n00\n1\n.00\n100.00\n310064\n0\n00\n.00\n1\n00\n1\n.00\n100.00\n310124\n0\n00\n.00\n1\n.00\n1\n.00\n100.00\n310184\n0\n00\n.00\n1\n.00\n00\n.00\n100.00\n311004\n0\n.00\n.00\n2\n.00\n.00\n2\n100.00\n311184\n0\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\n.00\n1\n.00\n100.00\n312004\n0\n.00\n.00\n1\n00\n1\n.00\n100.00\n313184\n0\n.00\n.00\n1\n.00\n1\n.00\n100.00\n314184\n0\n.00\n.00\n1\n.00\n00\n00\n100.00\n320004\n0\n00\n.00\n2\n.00\n00\n2\n100.00\n321004\n0\n00\n.00\n1\n.00\n00\n1\n00\n32112\n1\n.00\n.00\n0\n00\n00\n1\n100.00\n00\n00\n00\n1\n00\n100.00\n321124\n0\n.00\n00\n1\n1\n.00\n100.00\n322064\n0\n.00\n.00\n1\n00\n.00\n00\n100.00\n322184\n0\n.00\n.00\n1\n.00\n00\n1\n100.00\n2\n00\n.00\n2\n00\n323004\n0\n00\n.00\n49.79\n.00\n697\n65.71\n86\n32302\n691\n83.21\n66.28\n239\n.00\n2\n.00\n100.00\n323184\n0\n.00\n.00\n2\n.00\n1\n.00\n100.00\n324184\n0\n.00\n.00\n1\n.00\n00\n00\n100.00\n330064\n0\n.00\n.00\n1\n00\n00\n1\n.00\n33243\n1\n.00\n.00\n0\n00\n00\n1\n100.00\n33383\n2\n.00\n.00\n0\n.00\n00\n2\n100.00\n.00\n.00\n1\n100.00\n.00\n34350\n1\n00\n.00\n0\n.00\n1\n100.00\n.00\n34378\n1\n00\n.00\n0\n00\n.00\n65.56\n86\n41002\n688\n83.14\n65.99\n239\n49.79\n00\n694\n239\n1.01\n49.79\n.00\n693\n65.51\n41008\n686\n83.09\n66.18\n49.79\n.00\n696\n65.66\n1.15\n42001\n688\n83.28\n66.28\n239\n66.31\n130\n50.77\n.77\n378\n65.61\n1.06\n42002\n374\n83.42\n691\n65.41\n1.01\n42003\n684\n83.19\n66.08\n239\n50.21\n42\n65.66\n1.15\n83.50\n66.57\n238\n50.00\n84\n693\n42007\n685\n1.15\n66.28\n239\n49.79\n00\n696\n65.66\n42015\n688\n83.43\n83.43\n66.87\n239\n50.21\n84\n686\n65.16\n2.33\n42016\n670\n190","Table F6 (continued). Moored buoys (793/893) June 1988.\nCall\nFNOC\n% Of f-6 % Off-3\nNMC\n% Of f-6 % Off-3\nMAX\n% FNOC\n% NMC\n42036\n1\n100.00\n.00\n0\n.00\n.00\n1\n100.00\n00\n44004\n681\n83.41\n66.81\n239\n49.79\n.42\n694\n65.56\n1.87\n44005\n193\n84.97\n67.36\n66\n50.00\n.00\n197\n66.50\n2.03\n44007\n695\n82.88\n66.04\n239\n49.79\n.00\n698\n65.76\n.43\n44008\n652\n82.98\n66.10\n238\n52.52\n5.88\n656\n63.72\n.61\n44009\n687\n83.11\n66.38\n237\n50.21\n1.27\n691\n65.70\n.58\n44011\n693\n83.26\n66.23\n239\n49.79\n.00\n699\n65.81\n.86\n44012\n579\n82.90\n65.98\n214\n51.87\n5.14\n586\n63.48\n1.19\n44013\n697\n82.93\n66.00\n239\n49.79\n.00\n700\n65.86\n.43\n4413\n0\n.00\n.00\n1\n100.00\n.00\n1\n.00\n100.00\n44136\n214\n49.07\n.00\n173\n44.51\n.00\n220\n21.36\n2.73\n44153\n171\n77.19\n60.82\n162\n72.22\n59.88\n201\n19.40\n14.93\n44172\n226\n50.44\n.00\n177\n47.46\n.00\n232\n23.71\n2.59\n44180\n221\n49.77\n.00\n173\n47.40\n.00\n229\n24.45\n3.49\n45001\n693\n83.69\n66.52\n239\n49.79\n.00\n701\n65.91\n1.14\n45002\n691\n83.79\n66.57\n239\n49.79\n.00\n700\n65.86\n1.29\n45003\n691\n83.79\n66.57\n239\n49.79\n.00\n700\n65.86\n1.29\n45004\n691\n83.65\n66.57\n239\n50.21\n.42\n699\n65.81\n1.14\n45005\n675\n83.85\n66.96\n239\n50.21\n.84\n690\n65.36\n2.17\n45006\n692\n83.82\n66.62\n239\n50.21\n.42\n700\n65.86\n1.14\n45007\n691\n83.79\n66.71\n239\n49.79\n.42\n700\n65.86\n1.29\n45008\n584\n83.22\n66.44\n209\n49.76\n2.87\n591\n64.64\n1.18\n45134\n95\n.00\n.00\n86\n.00\n.00\n98\n12.24\n3.06\n46001\n674\n83.68\n67.51\n239\n50.21\n1.26\n692\n65.46\n2.60\n46002\n230\n50.43\n.00\n239\n49.79\n.00\n240\n.42\n4.17\n46003\n688\n83.28\n66.42\n239\n49.79\n.00\n697\n65.71\n1.29\n46004\n658\n82.83\n66.11\n233\n48.93\n.00\n668\n65.12\n1.50\n46005\n678\n83.78\n67.55\n239\n50.21\n.84\n696\n65.66\n2.59\n46011\n689\n83.16\n66.18\n239\n49.79\n.00\n696\n65.66\n1.01\n46012\n686\n83.09\n66.03\n239\n49.79\n.00\n693\n65.51\n1.01\n46013\n667\n84.41\n67.02\n239\n50.21\n.84\n685\n65.11\n2.63\n46014\n687\n82.82\n65.94\n239\n49.79\n.42\n692\n65.46\n.72\n46016\n63\n47.62\n.00\n67\n49.25\n.00\n67\n.00\n5.97\n46017\n222\n49.10\n.00\n234\n49.57\n.00\n235\n.43\n5.53\n46022\n691\n83.21\n66.28\n239\n49.79\n.00\n698\n65.76\n1.00\n46023\n683\n83.31\n66.62\n238\n50.00\n.84\n692\n65.61\n1.30\n46025\n704\n83.24\n66.34\n239\n49.79\n.00\n707\n66.20\n.42\n46026\n349\n83.09\n65.90\n122\n50.00\n.00\n353\n65.44\n1.13\n46027\n671\n83.16\n66.02\n238\n50.84\n1.68\n678\n64.90\n1.03\n46028\n690\n82.90\n65.94\n239\n49.79\n.00\n695\n65.61\n.72\n46030\n402\n84.83\n66.92\n145\n50.34\n1.38\n413\n64.89\n2.66\n46035\n670\n83.28\n66.57\n239\n51.46\n2.51\n680\n64.85\n1.47\n46036\n0\n.00\n.00\n51\n.00\n.00\n51\n.00\n100.00\n46039\n677\n83.01\n66.03\n237\n50.21\n.42\n684\n65.35\n1.02\n46040\n659\n84.37\n66.92\n239\n50.63\n1.67\n677\n64.70\n2.66\n46041\n689\n83.31\n66.33\n239\n49.79\n.00\n697\n65.71\n1.15\n46042\n657\n82.65\n66.21\n239\n51.05\n4.18\n666\n64.11\n1.35\n46093\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n00\n46184\n0\n.00\n.00\n56\n.00\n.00\n56\n.00\n100.00\n46192\n0\n.00\n.00\n34\n.00\n.00\n34\n.00\n100.00\n47090\n2\n100.00\n.00\n2\n100.00\n.00\n2\n.00\n.00\n4716KN\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n49081\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\n51001\n688\n83.58\n66.42\n239\n49.79\n.42\n696\n65.66\n1.15\n51003\n689\n83.45\n66.33\n239\n49.79\n.42\n696\n65.66\n1.01\n51005\n687\n82.97\n66.67\n239\n50.63\n3.77\n689\n65.31\n.29\n5122GZ\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n60028\n1\n100.00\n100.00\n0\n.00\n.00\n1\n100.00\n.00\n62004\n100.00\n1\n100.00\n1\n100.00\n100.00\n2\n50.00\n50.00\n62006\n11\n100.00\n.00\n117\n49.57\n.00\n119\n1.68\n90.76\n62007\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n62020\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\n62023\n660\n83.03\n66.52\n0\n.00\n.00\n660\n100.00\n.00\n62027\n445\n83.37\n65.39\n122\n45.90\n.00\n445\n72.58\n.00\n62028\n239\n84.10\n66.11\n17\n76.47\n.00\n240\n92.92\n.42\n62029\n2\n100.00\n.00\n0\n.00\n.00\n2\n100.00\n.00\n62035\n16\n31.25\n.00\n14\n28.57\n.00\n16\n12.50\n.00\n62081\n5\n20.00\n.00\n0\n.00\n.00\n5\n100.00\n.00\n62108\n1\n100.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\n62111\n137\n37.96\n.00\n117\n39.32\n.00\n138\n15.22\n.72\n191","Table F6 (continued). Moored buoys (793/893) June 1988.\n% Of f-6 % Of f-3\nMAX\n% FNOC\n% NMC\nNMC\nCall\nFNOC\n% Off-6 % Off-3\n58.33\n.00\n40\n70.00\n.00\n85.00\n57.50\n12\n62112\n40\n.30\n82.63\n65.27\n190\n42.11\n.00\n670\n71.64\n62113\n668\n.82\n.00\n122\n14.75\n104\n.00\n62114\n121\n.00\n.00\n5.13\n.00\n.00\n.00\n78\n62115\n78\n.00\n.00\n74\n16.67\n.00\n70.00\n.00\n12\n62116\n12\n75.00\n.00\n10\n18.52\n1.85\n38.64\n.00\n54\n62117\n53\n37.74\n00\n44\n72.33\n.21\n43.94\n.00\n477\n62118\n476\n83.40\n65.97\n132\n37\n18.92\n.00\n62120\n37\n72.97\n.00\n30\n73.33\n.00\n75\n12.00\n.00\n62121\n75\n1.33\n.00\n66\n1.52\n.00\n112\n21.43\n.89\n62122\n111\n46.85\n.00\n88\n42.05\n.00\n34\n29.41\n.00\n62123\n34\n.00\n.00\n24\n.00\n.00\n17.30\n.54\n.00\n185\n62125\n184\n50.54\n.00\n153\n49.67\n78.57\n.00\n.00\n14\n62126\n14\n50.00\n00\n3\n66.67\n72.10\n.64\n.00\n466\n62127\n463\n83.80\n66.74\n130\n43.08\n25.00\n.00\n.00\n4\n62128\n4\n25.00\n.00\n3\n33.33\n646\n68.42\n.00\n45.10\n.00\n81.89\n63.62\n204\n62129\n646\n37\n24.32\n.00\n.00\n.00\n62130\n37\n.00\n.00\n28\n.00\n.00\n1\n.00\n1\n.00\n62134\n1\n.00\n.00\n16.67\n6.25\n40\n.00\n.00\n48\n62135\n45\n13.33\n11.11\n13.16\n.00\n.00\n99\n.00\n.00\n114\n62137\n114\n.00\n51\n19.61\n.00\n62138\n51\n.00\n.00\n41\n.00\n.00\n11.58\n1.05\n2.38\n.00\n95\n.00\n84\n62139\n94\n2.13\n1.47\n68\n8.82\n.00\n62\n.00\n.00\n62140\n67\n.00\n199\n53.27\n46.73\n93\n.00\n.00\n62141\n106\n.00\n.00\n22\n13.64\n.00\n22.73\n.00\n19\n21.05\n.00\n62142\n22\n3\n.00\n.00\n3\n.00\n.00\n3\n62144\n.00\n.00\n15.31\n2.04\n.00\n98\n37.50\n.00\n83\n30.12\n62146\n96\n17.35\n.00\n.00\n98\n62150\n98\n1.02\n.00\n81\n.00\n.00\n.00\n.00\n1\n62167\n1\n.00\n.00\n1\n.00\n00\n.00\n.00\n10\n62206\n10\n.00\n.00\n10\n.00\n1\n100.00\n.00\n.00\n.00\n63002\n1\n100.00\n.00\n0\n5\n20.00\n60.00\n75.00\n50.00\n63004\n2\n50.00\n50.00\n4\n.00\n1\n.00\n.00\n1\n.00\n63015\n1\n00\n.00\n.00\n1\n100.00\n.00\n1\n.00\n63018\n1\n100.00\n.00\n7.41\n1.23\n.00\n75\n.00\n.00\n81\n63101\n80\n.00\n19.79\n.53\n.00\n150\n46.00\n.00\n187\n63102\n186\n49.46\n58.49\n1.89\n34.09\n.00\n106\n50.00\n44\n63103\n104\n70.19\n13.46\n.96\n00\n.00\n104\n.00\n90\n63104\n103\n.00\n1.44\n209\n19.62\n63105\n206\n50.00\n.00\n168\n45.24\n.00\n18\n11.11\n.00\n5.56\n.00\n16\n.00\n.00\n63106\n18\n6\n50.00\n.00\n3\n.00\n.00\n50.00\n.00\n63107\n6\n217\n17.51\n.92\n179\n47.49\n.00\n63108\n215\n49.30\n.47\n105\n21.90\n2.86\n82\n54.88\n.00\n63109\n102\n57.84\n.00\n75.82\n.00\n.00\n182\n63110\n182\n50.00\n.00\n44\n56.82\n564\n71.28\n.71\n.00\n63111\n560\n83.39\n65.89\n162\n42.59\n100.00\n.00\n.00\n1\n63112\n1\n.00\n.00\n0\n.00\n1\n.00\n.00\n.00\n.00\n63114\n1\n.00\n.00\n1\n1\n.00\n.00\n.00\n.00\n63180\n1\n00\n.00\n1\n1\n100.00\n.00\n.00\n.00\n63183\n1\n100.00\n.00\n0\n1\n100.00\n.00\n.00\n.00\n64040\n1\n100.00\n.00\n0\n.28\n91\n46.15\n.00\n360\n74.72\n64041\n359\n84.12\n66.30\n.22\n53\n50.94\n00\n454\n88.33\n453\n84.33\n67.33\n64042\n47.16\n292\n69.18\n52.05\n458\n36.24\n64043\n242\n87.19\n67.36\n33.95\n3.98\n68.67\n377\n249\n79.52\n71001\n362\n85.91\n68.78\n.00\n100.00\n.00\n.00\n1\n.00\n1\n7334\n0\n.00\n.00\n100.00\n100.00\n100.00\n1\n.00\n1\n84461\n0\n.00\n.00\n100.00\n8447)\n0\n.00\n.00\n1\n100.00\n.00\n1\n8\n.00\n100.00\n.00\n.00\n.00\n8\n8806\n0\n00\n.00\n1\n100.00\n92224\n1\n100.00\n100.00\n0\n.00\n.00\n2830\n26.64\n2.19\n38.58\n8.60\n2076\n30.78\n.00\nBUOY\n2768\n1,235\n46,525\n26,962\n19,563\n8,869\n745\n34,206\n25,126\nTotal\n45,290\nTotal call sign entries: 200\n192","Table F7. Drifting buoys (794/894) June 1988.\nCall\nFNOC\n% Of f-6 % Off-3\nNMC\n% Of f-6 % Of f-3\nMAX\n% FNOC\n% NMC\n007183\n0\n00\n.00\n1\n.00\n.00\n1\n00\n100.00\n06812\n2\n50.00\n00\n0\n.00\n.00\n2\n100.00\n.00\n15810\n197\n87.82\n62.44\n198\n82.83\n67.17\n294\n32.65\n32.99\n17812\n132\n85.61\n61.36\n126\n79.37\n62.70\n171\n26.32\n22.81\n17813\n27\n81.48\n62.96\n24\n70.83\n58.33\n37\n35.14\n27.03\n17815\n84\n97.62\n78.57\n90\n96.67\n77.78\n131\n31.30\n35.88\n17816\n207\n81.64\n69.08\n234\n79.06\n71.37\n290\n19.31\n28.62\n17817\n265\n84.53\n68.68\n286\n81.47\n71.68\n379\n24.54\n30.08\n17819\n215\n85.12\n66.51\n239\n83.26\n72.38\n304\n21.38\n29.28\n20503\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\n20504\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\n20505\n3\n100.00\n.00\n3\n100.00\n.00\n3\n.00\n.00\n20605\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\n20606\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\n25501\n0\n00\n.00\n2\n100.00\n50.00\n2\n.00\n100.00\n25502\n310\n86.45\n66.13\n375\n81.60\n64.53\n466\n19.53\n33.48\n25522\n85\n74.12\n56.47\n48\n68.75\n47.92\n91\n47.25\n6.59\n25523\n98\n72.45\n67.35\n50\n58.00\n56.00\n105\n52.38\n6.67\n25524\n83\n81.93\n80.72\n48\n72.92\n66.67\n94\n48.94\n11.70\n26522\n0\n.00\n.00\n2\n100.00\n100.00\n2\n00\n100.00\n306184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n307004\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n307184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n309004\n0\n.00\n.00\n2\n.00\n.00\n2\n.00\n100.00\n309064\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n309124\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n309184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n315004\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n315184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n316004\n0\n.00\n00\n1\n.00\n.00\n1\n.00\n100.00\n316064\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n316184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n317004\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n317184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n31810\n199\n88.94\n70.85\n202\n85.15\n74.75\n290\n30.34\n31.38\n319004\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n32512\n130\n90.00\n61.54\n110\n87.27\n67.27\n177\n37.85\n26.55\n32513\n0\n.00\n.00\n8\n87.50\n50.00\n8\n.00\n100.00\n32514\n103\n94.17\n67.96\n107\n91.59\n69.16\n158\n32.28\n34.81\n32517\n157\n78.98\n68.79\n169\n76.92\n69.82\n230\n26.52\n31.74\n32518\n145\n82.07\n66.21\n143\n76.22\n64.34\n212\n32.55\n31.60\n325184\n0\n.00\n.00\n1\n00\n.00\n1\n.00\n100.00\n32519\n124\n87.90\n60.48\n122\n88.52\n68.03\n178\n31.46\n30.34\n32560\n69\n82.61\n66.67\n62\n77.42\n70.97\n101\n38.61\n31.68\n326184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n327004\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n327064\n0\n.00\n.00\n2\n.00\n.00\n2\n.00\n100.00\n327184\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n328004\n0\n00\n.00\n1\n.00\n.00\n1\n00\n100.00\n32801\n158\n84.18\n68.99\n170\n79.41\n71.76\n247\n31.17\n36.03\n32802\n93\n77.42\n64.52\n166\n72.29\n63.86\n190\n12.63\n51.05\n32803\n172\n87.21\n65.12\n169\n80.47\n67.46\n255\n33.73\n32.55\n32806\n181\n85.08\n61.33\n172\n79.65\n65.12\n255\n32.55\n29.02\n328064\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n32807\n151\n86.75\n70.20\n172\n84.88\n73.26\n221\n22.17\n31.67\n32811\n216\n86.57\n66.20\n210\n82.38\n69.52\n312\n32.69\n30.77\n32812\n177\n85.31\n68.93\n184\n80.43\n72.83\n271\n32.10\n34.69\n32813\n162\n86.42\n67.90\n161\n80.75\n71.43\n240\n32.92\n32.50\n329004\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n329064\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n33802\n258\n82.95\n67.05\n275\n80.00\n70.18\n374\n26.47\n31.02\n33804\n244\n84.84\n64.34\n246\n80.89\n73.17\n339\n27.43\n28.02\n33815\n221\n83.26\n65.16\n230\n81.30\n70.87\n323\n28.79\n31.58\n33816\n252\n82.14\n63.89\n271\n80.07\n70.85\n352\n23.01\n28.41\n33818\n214\n88.32\n66.82\n226\n85.40\n72.57\n329\n31.31\n34.95\n33819\n212\n87.74\n64.15\n219\n84.93\n69.86\n312\n29.81\n32.05\n33821\n261\n83.14\n67.43\n288\n79.86\n69.44\n405\n28.89\n35.56\n33822\n211\n87.68\n64.45\n217\n84.33\n71.89\n322\n32.61\n34.47\n34811\n186\n84.95\n59.68\n172\n80.23\n65.70\n264\n34.85\n29.55\n34812\n197\n84.26\n67.51\n208\n81.25\n71.63\n303\n31.35\n34.98\n193","Table F7 (continued). Drifting buoys (794/894) June 1988.\n% Of f-6 % Off-3\n% FNOC\n% NMC\nMAX\nCall\nFNOC\n% Of f-6 % Of ff-3\nNMC\n434\n30.88\n34.10\n34813\n286\n80.42\n64.69\n300\n76.67\n67.00\n35.56\n31.11\n79.80\n66.50\n315\n64.98\n203\n34814\n217\n85.25\n.00\n0\n.00\n.00\n3\n100.00\n38806\n3\n00\n.00\n.00\n.00\n1\n.00\n100.00\n41509\n0\n.00\n.00\n1\n67.74\n102\n39.22\n33.33\n72.06\n62\n88.71\n42506\n68\n91.18\n246\n34.55\n30.89\n161\n87.58\n63.98\n42522\n170\n90.59\n62.35\n22.22\n11.11\n85.71\n64.29\n18\n42523\n16\n87.50\n62.50\n14\n.00\n.00\n1\n100.00\n.00\n0\n.00\n42613\n1\n.00\n1\n.00\n.00\n1\n.00\n.00\n42627\n1\n.00\n.00\n18.57\n31.43\n76.61\n67.25\n210\n43502\n144\n80.56\n68.75\n171\n33.33\n65.49\n228\n37.72\n63.82\n142\n88.03\n43503\n152\n90.79\n66.43\n225\n37.78\n29.33\n43504\n159\n92.45\n67.30\n140\n90.00\n31.65\n45.57\n75.93\n57.41\n79\n65.12\n54\n43505\n43\n83.72\n23.15\n74\n78.38\n64.86\n108\n31.48\n44501\n83\n84.34\n68.67\n103\n37.86\n29.13\n75.00\n60.94\n44502\n73\n82.19\n68.49\n64\n155\n32.26\n29.68\n61.90\n68.81\n105\n77.14\n44503\n109\n83.49\n36.63\n37.21\n74.31\n64.22\n172\n83.33\n67.59\n109\n44504\n108\n33.22\n66.99\n307\n32.90\n64.39\n206\n81.07\n44511\n205\n85.85\n287\n31.71\n30.66\n196\n80.61\n62.76\n44512\n199\n84.92\n61.81\n44.60\n21.24\n72.52\n60.38\n565\n81.57\n66.52\n313\n44603\n445\n59.63\n685\n44.67\n21.90\n535\n80.75\n64.86\n379\n71.24\n44612\n600\n44.50\n24.00\n333\n73.27\n56.76\n83.55\n65.35\n44725\n456\n44.99\n24.14\n75.52\n61.79\n609\n68.40\n335\n44726\n462\n84.85\n.00\n0\n.00\n.00\n1\n100.00\n44740\n1\n100.00\n100.00\n44.57\n18.66\n72.55\n59.48\n552\n44741\n449\n82.41\n65.26\n306\n522\n45.40\n18.58\n285\n75.09\n61.75\n44742\n425\n83.06\n66.35\n61.11\n9.03\n67.86\n42.86\n144\n46683\n131\n82.44\n64.89\n56\n12.44\n44.83\n201\n56.72\n64.20\n87\n64.37\n46688\n176\n80.11\n71\n50.70\n8.45\n35\n71.43\n51.43\n46691\n65\n83.08\n61.54\n53.38\n4.73\n66.67\n52.17\n148\n81.56\n67.38\n69\n46694\n141\n5.56\n51.85\n54\n50.00\n46697\n51\n70.59\n60.78\n27\n55.56\n172\n52.91\n9.30\n80.13\n67.31\n81\n67.90\n58.02\n46703\n156\n69.49\n1.69\n33.33\n33.33\n59\n63.79\n18\n47507\n58\n79.31\n3\n.00\n33.33\n3\n66.67\n33.33\n47508\n2\n50.00\n50.00\n71.43\n20\n65.00\n15.00\n76.47\n7\n71.43\n47509\n17\n76.47\n19\n52.63\n15.79\n9\n55.56\n44.44\n47510\n16\n62.50\n56.25\n58.82\n5.88\n57.14\n57.14\n17\n68.75\n68.75\n7\n48531\n16\n13.00\n61.82\n100\n45.00\n73.56\n55\n70.91\n48540\n87\n79.31\n33\n36.36\n18.18\n21\n66.67\n42.86\n48547\n27\n74.07\n59.26\n55.76\n13.36\n67.71\n58.33\n217\n48550\n188\n79.26\n69.15\n96\n15.83\n64.06\n139\n53.96\n48552\n117\n82.91\n76.92\n64\n73.44\n32\n15.63\n28.13\n69.57\n52.17\n27\n66.67\n55.56\n51510\n23\n14.29\n45.71\n52.63\n30\n66.67\n53.33\n35\n51511\n19\n73.68\n32.61\n109\n77.06\n67.89\n138\n21.01\n51512\n93\n79.57\n68.82\n87.72\n78.07\n143\n20.28\n34.97\n88.17\n76.34\n114\n51513\n93\n100.00\n1\n.00\n.00\n100.00\n1\n100.00\n51514\n1\n100.00\n163\n30.06\n42.94\n114\n82.46\n69.30\n51515\n93\n84.95\n72.04\n28.70\n31.84\n84.28\n71.07\n223\n51516\n152\n87.50\n70.39\n159\n30.05\n72.30\n193\n23.32\n74.07\n148\n85.14\n51517\n135\n89.63\n236\n24.58\n32.63\n178\n73.03\n69.66\n51518\n159\n75.47\n71.07\n28.46\n37.31\n73.66\n63.44\n260\n51519\n163\n74.85\n64.42\n186\n204\n30.39\n35.29\n142\n87.32\n66.90\n51520\n132\n88.64\n63.64\n6.45\n77.42\n71.43\n29\n79.31\n68.97\n31\n52801\n7\n85.71\n27.69\n202\n77.72\n69.80\n260\n22.31\n52804\n188\n79.26\n68.62\n85.71\n75.13\n258\n26.74\n33.33\n88.37\n73.26\n189\n52805\n172\n64.57\n167\n23.95\n25.15\n65.60\n127\n80.31\n52806\n125\n83.20\n52\n3.85\n88.46\n50\n76.00\n56.00\n52814\n6\n66.67\n33.33\n25.00\n25.00\n81.48\n62.96\n36\n88.89\n70.37\n27\n52818\n27\n83.33\n19\n5.26\n36.84\n83.33\n18\n83.33\n53810\n12\n83.33\n171\n14.62\n24.56\n146\n68.49\n59.59\n53811\n129\n76.74\n62.02\n33.66\n71.17\n303\n26.73\n71.64\n222\n78.83\n54815\n201\n81.59\n317\n28.71\n33.44\n84.83\n66.35\n226\n84.07\n70.35\n54816\n211\n27.76\n35.23\n63.74\n203\n86.21\n68.97\n281\n54817\n182\n87.91\n34.24\n206\n86.41\n67.96\n295\n30.17\n54818\n194\n88.14\n61.86\n314\n24.20\n31.21\n82.77\n70.17\n85.19\n67.59\n238\n54819\n216\n32.04\n34.19\n71.52\n465\n66.99\n316\n80.70\n54820\n306\n83.66\n36.05\n344\n28.20\n247\n78.95\n69.64\n54821\n220\n83.64\n67.27\n31.76\n35.06\n54822\n276\n85.14\n66.67\n290\n80.00\n70.69\n425\n34.93\n69.47\n196\n79.59\n73.47\n292\n32.88\n54823\n190\n84.74\n27.03\n36.82\n74.54\n65.28\n296\n54824\n187\n78.61\n64.17\n216\n194","Table F7 (continued). Drifting buoys (794/894) June 1988.\nCall\nFNOC\n% Of f-6 % Off-3\nNMC\n% Off-6 % Of f-3\nMAX\n% FNOC\n% NMC\n54825\n175\n85.14\n64.57\n188\n82.98\n67.55\n244\n22.95\n28.28\n54826\n215\n85.58\n68.37\n244\n82.38\n70.90\n335\n27.16\n35.82\n54827\n186\n85.48\n70.43\n221\n84.16\n73.76\n294\n24.83\n36.73\n54828\n230\n85.65\n69.57\n258\n81.78\n72.09\n353\n26.91\n34.84\n55531\n231\n85.71\n71.43\n165\n81.21\n72.12\n260\n36.54\n11.15\n55532\n205\n84.39\n68.29\n159\n79.87\n70.44\n264\n39.77\n22.35\n55533\n353\n81.87\n66.01\n259\n75.68\n66.80\n411\n36.98\n14.11\n55551\n239\n75.31\n60.25\n176\n67.61\n56.25\n270\n34.81\n11.48\n55553\n209\n82.78\n66.51\n147\n76.87\n66.67\n230\n36.09\n9.13\n55556\n229\n85.15\n66.38\n160\n80.00\n66.88\n256\n37.50\n10.55\n55573\n112\n90.18\n62.50\n110\n82.73\n67.27\n171\n35.67\n34.50\n55575\n179\n84.92\n69.27\n148\n79.73\n69.59\n230\n35.65\n22.17\n55825\n237\n80.59\n64.56\n242\n79.34\n72.31\n349\n30.66\n32.09\n55827\n175\n84.00\n61.71\n184\n80.43\n64.67\n248\n25.81\n29.44\n55828\n248\n83.06\n67.74\n279\n79.21\n70.61\n385\n27.53\n35.58\n56526\n406\n84.73\n69.46\n231\n77.49\n69.70\n484\n52.27\n16.12\n56528\n338\n82.25\n64.20\n241\n75.52\n64.73\n381\n36.75\n11.29\n56805\n171\n85.38\n59.65\n176\n82.39\n63.07\n243\n27.57\n29.63\n56819\n26\n76.92\n65.38\n42\n69.05\n66.67\n48\n12.50\n45.83\n56820\n230\n77.39\n62.17\n240\n73.75\n61.67\n318\n24.53\n27.67\n56821\n253\n86.17\n68.38\n295\n82.03\n70.51\n403\n26.80\n37.22\n56822\n276\n82.61\n64.86\n318\n78.93\n66.67\n415\n23.37\n33.49\n56823\n285\n82.81\n63.16\n303\n79.21\n67.66\n407\n25.55\n29.98\n62501\n219\n88.13\n71.23\n128\n82.03\n67.19\n263\n51.33\n16.73\n62503\n213\n92.49\n69.95\n118\n86.44\n69.49\n254\n53.54\n16.14\n62505\n201\n85.57\n71.64\n124\n77.42\n64.52\n250\n50.40\n19.60\n62507\n203\n87.19\n68.47\n117\n77.78\n64.96\n246\n52.44\n17.48\n62551\n47\n87.23\n70.21\n29\n82.76\n68.97\n55\n47.27\n14.55\n62596\n432\n81.71\n64.58\n319\n68.97\n54.55\n554\n42.42\n22.02\n63537\n4\n25.00\n.00\n137\n70.80\n59.12\n137\n.00\n97.08\n63538\n5\n40.00\n20.00\n137\n72.99\n62.04\n139\n1.44\n96.40\n64523\n192\n84.38\n65.10\n138\n75.36\n63.77\n245\n43.67\n21.63\n64533\n197\n81.22\n67.01\n261\n74.33\n61.69\n351\n25.64\n43.87\n64535\n3\n66.67\n66.67\n3\n66.67\n66.67\n6\n50.00\n50.00\n64560\n489\n82.21\n65.85\n385\n67.79\n52.21\n653\n41.04\n25.11\n64725\n1\n100.00\n100.00\n0\n.00\n.00\n1\n100.00\n.00\n65514\n475\n81.89\n65.26\n347\n71.76\n58.50\n616\n43.67\n22.89\n71804\n318\n81.45\n65.09\n344\n78.78\n68.31\n487\n29.36\n34.70\n74807\n323\n83.90\n64.71\n354\n81.07\n68.93\n468\n24.36\n30.98\n767*\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n7672\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n76778\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\n7886\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n84825\n1\n100.00\n100.00\n0\n.00\n.00\n1\n100.00\n.00\n85709\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\n97544\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\n999999\n0\n.00\n.00\n25\n84.00\n80.00\n25\n.00\n100.00\nBUOY1\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\nDPIA1\n0\n.00\n.00\n49\n48.98\n.00\n49\n.00\n100.00\nDRIBU\n51\n86.27\n72.55\n0\n.00\n.00\n51\n100.00\n.00\nTotal\n24,760\n20,737\n16,434\n23,185\n18,217\n15,366\n34,807\n11,622\n10,047\nTotal call sign entries: 190\n195","Table F8. C-MAN (795/895) June 1988.\n% Off-6 % Off-3\n% FNOC\n% NMC\n% Of f-6 % Off-3\nMAX\nNMC\nCall\nFNOC\n.00\n100.00\n.00\n.00\n1\n722*\n0\n.00\n.00\n1\n1.15\n50.84\n1.26\n696\n65.80\nALSN6\n688\n83.72\n66.86\n238\n.86\n.00\n698\n65.76\nBURL1\n692\n82.80\n66.18\n239\n49.79\n.42\n703\n66.00\n1.14\n66.76\n239\n50.21\nBUZM3\n695\n83.60\n701\n65.91\n.86\n66.33\n239\n49.79\n.00\nCARO3\n695\n83.31\n701\n65.91\n.86\n239\n49.79\n.00\nCHLV2\n695\n83.17\n66.33\n66.00\n1.00\n239\n49.79\n.00\n703\nCLKN7\n696\n83.19\n66.52\n6.27\n85.10\n49.79\n.00\n255\nCSBF1\n38\n65.79\n42.11\n239\n25.84\n83.24\n66.62\n239\n49.79\n1.26\n925\n74.16\nDBLN6\n686\n1.00\n.00\n702\n65.95\nDESW1\n695\n83.45\n66.47\n239\n49.79\n65.95\n1.28\n66.67\n239\n49.79\n.00\n702\nDISW3\n693\n83.41\n183\n9.84\n82.51\n37.50\n165\n49.70\n.00\nDPIA1\n32\n59.38\n699\n65.81\n.72\n239\n49.79\n.00\nDSLN7\n694\n83.29\n66.14\n66.05\n.99\n239\n49.79\n.00\n704\nFBIS1\n697\n83.21\n66.57\n65.91\n1.00\n49.79\n.00\n701\nFFIA2\n694\n83.43\n66.43\n239\n.72\n50.21\n.42\n697\n65.71\nFPSN7\n692\n83.38\n66.18\n239\n25.62\n.00\n933\n74.38\nGDIL1\n694\n82.85\n66.28\n239\n49.79\n2.23\n640\n65.00\n1.41\n66.56\n224\n50.45\nGLLN6\n631\n83.20\n934\n74.41\n25.59\n66.76\n239\n50.21\n.42\nIOSN3\n695\n83.60\n697\n65.71\n1.29\n239\n50.21\n.42\nLKWF1\n688\n83.58\n66.57\n66.05\n1.14\n239\n49.79\n.00\n704\nMDRM1\n696\n83.48\n66.67\n2.21\n.00\n679\n64.80\n83.28\n66.11\n239\n49.79\nMISM1\n664\n.00\n100.00\n.00\n239\n.00\n239\n49.79\nMLRF1\n0\n.00\n51.05\n1.67\n239\n.00\n100.00\n.00\n239\nMPCL1\n0\n.00\n699\n65.81\n1.00\n83.38\n66.47\n239\n49.79\n.42\nNWPO3\n692\n698\n65.76\n1.15\n239\n49.79\n.00\nPILM4\n690\n83.19\n66.38\n74.11\n25.89\n66.23\n239\n49.79\n.00\n923\nPTAC1\n684\n83.19\n.87\n50.21\n.84\n691\n65.70\nPTAT2\n685\n82.92\n66.42\n237\n1.60\n.84\n687\n65.21\n82.99\n66.42\n239\n49.79\nPTGC1\n676\n65.66\n.81\n.59\n495\n66.40\n170\n50.00\nROAM4\n491\n83.10\n690\n65.36\n1.01\n66.03\n239\n50.21\n.42\nSAUF1\n683\n83.16\n928\n74.25\n25.75\n239\n50.63\n1.26\nSBI01\n689\n83.45\n66.76\n1.34\n51.05\n2.51\n670\n64.33\nSGNW3\n661\n83.06\n66.11\n239\n100.00\n3\n.00\n.00\n3\n.00\nSHIP\n0\n.00\n.00\n74.41\n25.59\n66.47\n239\n49.79\n.00\n934\nSISW1\n695\n83.45\n664\n64.01\n1.96\n65.90\n239\n50.21\n2.09\nSPGF1\n651\n82.95\n691\n65.41\n1.16\n239\n49.79\n.00\n82.58\n66.03\nSRST2\n683\n65.91\n1.28\n239\n49.79\n.00\n701\nSTDM4\n692\n83.38\n66.62\n73.91\n26.09\n49.79\n.00\n916\nSVLS1\n677\n83.01\n65.88\n239\n2.25\n66.62\n51.88\n3.35\n668\n64.22\n83.61\n239\nTPLM2\n653\n1.00\n239\n.00\n702\n65.95\n83.45\n66.47\n49.79\nTTIW1\n695\n65.86\n.86\n66.43\n239\n49.79\n.42\n700\nVENF1\n694\n82.85\n239\n.00\n100.00\n.00\n239\n49.79\n.00\nWPOW1\n0\n.00\n17,893\n2,994\n20,416\n16,279\n9,642\n4,823\n49\n27,535\nTotal\n24,541\nTotal call sign entries: 43\n196","Table F9.\nMiscellaneous (796/896) June 1988.\nCal\nFNOC\n% Off-6 % Off-3\nNMC\n% Off-6\n% Off-3\nMAX\n% FNOC\n% NMC\nC7\n0\n.00\n.00\n5\n.00\n.00\n5\n.00\n100.00\nC7C\n715\n83.08\n66.57\n405\n70.86\n47.16\n719\n43.67\n.56\nC7G\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nC7L\n568\n83.27\n66.55\n287\n73.52\n46.69\n569\n49.56\n.18\nC7M\n688\n83.14\n66.42\n375\n70.67\n46.93\n690\n45.65\n.29\nC70\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nC7P\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\nC7W\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nPLAT\n5630\n79.27\n58.10\n1908\n47.80\n.00\n5637\n66.15\n12\nPLAT1\n0\n.00\n.00\n1\n100.00\n.00\n1\n.00\n100.00\nPLAT2\n0\n.00\n.00\n1\n100.00\n100.00\n1\n.00\n100.00\nRIGG\n179\n24.58\n.00\n164\n21.34\n.00\n182\n9.89\n1.65\nTotal\n7,784\n6,147\n4,582\n3,150\n1,713\n502\n7,808\n4,658\n24\nTotal call sign entries: 12\n197","Ships (792/892) June 1988.\nTable F10.\n% FNOC\n% NMC\n% Of f-6 % Off-3\nMAX\n% Of f-6 % Of f-3\nNMC\nCal\nFNOC\n1\n00\n100.00\n1\n00\n.00\n0\n.00\n00\n00\n100.00\n00\n00\n1\n00\n1\n26*\n0\n.00\n100.00\n1\n00\n00\n1\n00\n2UMFW\n0\n.00\n00\n100.00\n00\n1\n00\n.00\n1\n00\n3ENI3\n0\n.00\n*\n100.00\n2\n00\n.00\n2\n00\n3EUT5\n0\n.00\n00\n*\n100.00\n1\n00\n.00\n1\n.00\n3EXY3\n0\n.00\n00\n*\n.00\n100.00\n00\n00\n1\n.00\n.00\n1\n3EYB2\n0\n.00\n1\n.00\n100.00\n00\n1\n00\n3FJD2\n0\n00\n*\n1\n.00\n100.00\n1\n.00\n00\n3FPM2\n0\n00\n00\n00\n100.00\n00\n.00\n1\n00\n00\n1\n4XIL\n0\n100.00\n.00\n2\n00\n00\n2\n00\n6ZLH\n0\n00\n.00\n100.00\n00\n.00\n1\n00\n00\n1\n80\n0\n100.00\n00\n1\n.00\nA8FW\n0\n00\n00\n1\n00\n2\n.00\n100.00\n2\n00\n00\n00\n00\nA8GJ\n0\n.00\n100.00\n00\n00\n1\n00\n1\n*BW12\n0\n00\n1\n.00\n100.00\n1\n100.00\n00\nC4DO\n0\n00\n00\n.00\n1\n.00\n100.00\n00\n1\n00\nCVLV\n0\n00\n.00\n100.00\n00\n1\n00\n1\n.00\n*\nDHCW\n0\n.00\n.00\n2\n.00\n100.00\n00\n2\n.00\nDVFS\n0\n.00\n*\n2\n.00\n100.00\n2\n.00\n.00\nDZWS\n0\n.00\n00\n100.00\n.00\n1\n.00\n00\n1\n.00\nELPN\n0\n.00\n*\n.00\n100.00\n.00\n.00\n1\n00\n00\n1\nH9RF\n0\n*\n100.00\n.00\n1\n00\n00\n1\n100.00\nKSDCD\n0\n00\n1\n00\n100.00\n1\n00\n.00\nLYCN\n0\n00\n00\n100.00\n.00\n1\n.00\n00\n1\n.00\nSUB\n0\n00\n4\n.00\n100.00\n4\n.00\n.00\n00\n00\nSUF\n0\n.00\n100.00\n.00\n.00\n4\n00\n4\nTORM\n0\n00\n100.00\n1\n00\n.00\n1\n.00\nUHAJ\n0\n.00\n00\n.00\n100.00\n00\n.00\n1\n.00\n00\n1\nUJFY\n0\n1\n.00\n100.00\n1\n00\n.00\nUJJU\n0\n.00\n00\n.00\n100.00\n.00\n.00\n2\n.00\n00\n2\nUVTW\n0\n100.00\n.00\n1\n.00\n00\n1\n00\nUVTZ\n0\n00\n1\n.00\n100.00\n1\n.00\n.00\nUYJI\n0\n.00\n.00\n100.00\n42\n.00\n.00\n42\n00\n00\nZCKH\n0\n00\n1\n100.00\n00\n0\n.00\n.00\n.00\n00\n/2UMFW\n1\n100.00\n00\n.00\n.00\n1\n00\n0\nC4DO\n1\n100.00\n00\n.00\n1\n100.00\n0\n.00\nCVLV\n1\n.00\n.00\n1\n100.00\n00\n.00\n.00\n.00\n00\n0\nGW7JD\n1\n100.00\n00\n.00\n1\n00\n0\n.00\nH9RF\n1\n00\n1\n100.00\n00\n0\n.00\n.00\nKSDCD\n1\n100.00\n00\n100.00\n00\n.00\n00\n1\n00\n.00\n0\nLYCN\n1\n00\n00\n15\n100.00\n15\n.00\n.00\n0\n.00\nTORM\n100.00\n00\n.00\n00\n1\n.00\n.00\n0\nUHAJ\n1\n00\n00\n1\n100.00\n.00\n0\n.00\nUJFY\n1\n.00\n3\n100.00\n00\n0\n.00\n00\n.00\n.00\nUVTW\n3\n100.00\n00\n.00\n.00\n1\n.00\n0\n/UVTZ\n1\n.00\n1\n100.00\n00\n0\n.00\n.00\n/UYJI\n1\n00\n.00\n100.00\n00\n.00\n46\n00\n0\n.00\n/ZCKH\n46\n00\n1\n100.00\n.00\n0\n.00\n00\n001-/\n1\n.00\n00\n00\n.00\n.00\n.00\n1\n00\n00\n1\n00EID3\n1\n00\n00\n1\n100.00\n00\n0\n.00\n013WMV\n1\n.00\n100.00\n.00\n.00\n00\n1\n.00\n00\n0\n015KGW\n1\n.00\n.00\n1\n100.00\n00\n0\n.00\n015NRC\n1\n.00\n2\n100.00\n.00\n0\n.00\n00\n.00\n00\n023WTD\n2\n100.00\n.00\n.00\n00\n1\n00\n0\n0285BE\n1\n.00\n1\n.00\n.00\n1\n00\n00\n1\n.00\n00\n03FOV2\n00\n1\n.00\n00\n00\n1\n00\n04HZ\n1\n.00\n3\n.00\n100.00\n3\n00\n.00\n0\n.00\n00\n06\n.00\n00\n.00\n.00\n1\n.00\n00\n1\n0HT2\n1\n.00\n.00\n1\n00\n00\n1\n.00\nOMWS\n1\n.00\n100.00\n00\n00\n00\n1\n.00\n00\n0\nONCQ\n1\n.00\n00\n2\n.00\n.00\n2\n.00\nONNF\n2\n.00\n1\n.00\n.00\n1\n00\n00\n.00\n00\nOWFG\n1\n.00\n.00\n00\n00\n2\n.00\n2\nOWWP\n2\n.00\n1\n.00\n00\n1\n00\n00\nOYHI\n1\n00\n00\n3\n66.67\n66.67\n3\n.00\n100.00\n.00\n00\n0\n1\n1\n100.00\n00\n.00\n00\n0\n00\n00\n122GZK\n1\n100.00\n00\n.00\n.00\n1\n00\n00\n0\n1K6212\n1\n00\n.00\n1\n.00\n00\n00\n1\n.00\n1\n1KQX\n00\n00\n00\n.00\n1\n00\n00\n1\n1UVSY\n1\n198","Table F10 (continued).\nShips\n(792/892)\nJune\n1988.\nCall\nFNOC\n% Of f-6 % Off-3\nNMC\n% Of f-6 % Of f-3\nMAX\n% FNOC\n% NMC\n1WGLA\n1\n.00\n00\n0\n00\n00\n1\n100.00\n00\n1ZSPP\n1\n.00\n00\n1\n00\n00\n1\n.00\n.00\n2*AI\n0\n.00\n00\n1\n.00\n00\n1\n.00\n100.00\n2/AI\n1\n.00\n00\n0\n00\n00\n1\n100.00\n00\n21\n0\n.00\n00\n1\n00\n00\n1\n.00\n100.00\n210R\n1\n.00\n00\n0\n00\n.00\n1\n100.00\n00\n23EZM4\n1\n.00\n00\n1\n00\n.00\n1\n.00\n00\n25\n0\n.00\n00\n1\n00\n.00\n1\n.00\n100.00\n25BOS\n1\n.00\n00\n1\n00\n.00\n1\n.00\n.00\n26DC\n1\n.00\n00\n1\n00\n.00\n1\n00\n.00\n27JKY\n1\n.00\n00\n0\n00\n.00\n1\n100.00\n00\n28KOP\n0\n.00\n.00\n1\n00\n.00\n1\n00\n100.00\n28KRR\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n29RB\n1\n.00\n00\n1\n.00\n00\n1\n.00\n.00\n2BPEG\n1\n.00\n.00\n1\n.00\n.00\n1\n00\n.00\n2BPFV\n1\n.00\n.00\n0\n00\n00\n1\n100.00\n.00\n2BPGP\n2\n.00\n.00\n2\n.00\n.00\n2\n.00\n.00\n2BPGW\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2BPGZ\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2BPHC\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\n2BPJH\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n.00\n2BPLD\n0\n.00\n.00\n1\n.00\n00\n1\n.00\n100.00\n2BPYP\n2\n.00\n.00\n2\n.00\n.00\n2\n.00\n00\n2BWF\n0\n.00\n.00\n1\n.00\n.00\n1\n00\n100.00\n2EKWG\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\n2ERES\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2EULW\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2EYW5\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2HBJ\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2JCDE\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n00\n2JDI\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2JFHA\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2JGAC\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2JLKR\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n.00\n2KPY\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n00\n2SHIP\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n00\n2SSIR\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n00\n2UETT\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n00\n2UHBI\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n2UZGH\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\n2YDHO\n1\n.00\n00\n0\n.00\n.00\n1\n100.00\n.00\n2YTMH\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n00\n3\n0\n.00\n.00\n1\n00\n.00\n1\n.00\n100.00\n321S3\n1\n00\n.00\n1\n00\n.00\n1\n.00\n.00\n32MQ6\n1\n100.00\n00\n1\n100.00\n.00\n1\n.00\n.00\n3ATB3\n1\n00\n00\n1\n.00\n.00\n1\n.00\n.00\n3DCMZ\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n3DHIF\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\n3DRO\n22\n.00\n.00\n22\n.00\n.00\n22\n.00\n.00\n3DRV\n8\n.00\n.00\n7\n00\n.00\n8\n12.50\n00\n3DWJ3\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n00\n3E\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\n3E103\n2\n.00\n.00\n1\n00\n.00\n2\n50.00\n00\n3E5\n1\n.00\n00\n1\n00\n.00\n1\n.00\n00\n3E803\n1\n00\n.00\n1\n00\n.00\n1\n.00\n00\n3EAGE\n1\n.00\n.00\n1\n00\n.00\n1\n.00\n00\n3EAJ\n5\n.00\n.00\n5\n00\n.00\n5\n.00\n.00\n3EAJ6\n21\n00\n00\n20\n.00\n.00\n23\n13.04\n8.70\n3EAL3\n24\n00\n.00\n22\n.00\n.00\n24\n8.33\n.00\n3EALGE\n1\n00\n.00\n1\n.00\n.00\n1\n.00\n.00\n3EAP6\n13\n.00\n00\n13\n.00\n.00\n13\n.00\n.00\n3EAW3\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n00\n3EAX3\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n00\n3EB6\n1\n00\n.00\n1\n.00\n00\n1\n.00\n00\n3EBO5\n6\n00\n.00\n5\n.00\n00\n6\n16.67\n00\n3EBQ4\n5\n.00\n.00\n5\n.00\n00\n5\n.00\n00\n3EBS\n6\n16.67\n16.67\n5\n.00\n00\n6\n16.67\n00\n3EBX6\n3\n.00\n.00\n3\n00\n00\n3\n.00\n00\n3ECA\n1\n.00\n.00\n0\n00\n.00\n1\n100.00\n00\n3ECA6\n10\n.00\n00\n9\n00\n00\n10\n10.00\n00\n199","(continued). Ships (792/892) June 1988.\nTable\nF10\n% Of f-6 % Of f-3\nMAX\n% FNOC\n% NMC\n% Of f-6 % Of f-3\nNMC\nCall\nFNOC\n27\n14.81\n3.70\n39.13\n00\n26\n42.31\n00\n23\n3ECK\n.00\n.00\n12\n8.33\n00\n11\n00\n3ECL2\n12\n.00\n13\n.00\n.00\n13\n.00\n.00\n13\n.00\n.00\n3ECL4\n.00\n.00\n00\n.00\n1\n.00\n1\n3ECS5\n1\n.00\n12.50\n15\n.00\n.00\n16\n6.25\n3EDA5\n14\n.00\n.00\n11\n27.27\n.00\n.00\n.00\n.00\n.00\n8\n3EDC6\n11\n16.67\n.00\n.00\n6\n.00\n5\n.00\n3EDF5\n6\n.00\n.00\n.00\n.00\n.00\n19\n3EDJ5\n19\n.00\n.00\n19\n.00\n100.00\n.00\n.00\n1\n.00\n00\n1\n3EDJS\n0\n30\n3.33\n00\n.00\n.00\n29\n.00\n3EDP3\n30\n.00\n1\n.00\n.00\n1\n.00\n.00\n3EE13\n1\n.00\n00\n11\n9.09\n9.09\n.00\n.00\n3EEB6\n10\n.00\n00\n10\n.00\n4\n.00\n.00\n3EEC4\n4\n.00\n00\n4\n.00\n2\n50.00\n.00\n.00\n00\n1\n.00\n.00\n3EEI\n2\n32\n21.88\n.00\n25\n.00\n.00\n32\n.00\n00\n3EE13\n5\n20.00\n.00\n4\n.00\n.00\n5\n.00\n00\n3EEO\n.00\n12\n.00\n12\n00\n.00\n12\n.00\n.00\n3EE02\n13\n.00\n23.08\n13\n00\n.00\n3EES4\n10\n00\n00\n3\n.00\n.00\n3\n.00\n.00\n3\n00\n00\n3EFJ6\n29\n.00\n.00\n.00\n00\n29\n.00\n3EFK5\n29\n00\n1\n100.00\n.00\n0\n.00\n.00\n3EFKT\n1\n00\n00\n33\n6.06\n3.03\n31\n.00\n.00\n.00\n00\n3EF03\n32\n.00\n1\n100.00\n.00\n3EFO9\n1\n.00\n.00\n0\n.00\n1\n.00\n.00\n1\n.00\n.00\n.00\n.00\n3EFOV4\n1\n45\n2.22\n.00\n.00\n.00\n44\n.00\n3EFS5\n45\n.00\n1\n100.00\n.00\n.00\n00\n0\n.00\n3EFSH\n1\n.00\n1\n100.00\n.00\n.00\n00\n0\n.00\n3EFSK\n1\n.00\n.00\n7\n14.29\n6\n.00\n.00\n7\n14.29\n14.29\n3EFY2\n2\n.00\n.00\n.00\n.00\n.00\n.00\n2\n3EGE5\n2\n.00\n00\n1\n100.00\n.00\n0\n.00\n3EGE9\n1\n.00\n00\n1\n.00\n.00\n.00\n1\n.00\n3EGK\n1\n.00\n38\n.00\n.00\n38\n.00\n00\n38\n00\n.00\n3EGR5\n.00\n13\n.00\n.00\n16\n18.75\n3EGR6\n16\n00\n.00\n100.00\n.00\n.00\n.00\n1\n.00\n.00\n0\n3EGS6\n1\n1\n100.00\n.00\n.00\n.00\n3EH03\n1\n00\n.00\n0\n1\n100.00\n.00\n.00\n.00\n00\n.00\n0\n3EH3\n1\n39\n12.82\n5.13\n34\n.00\n.00\n37\n.00\n00\n3EHB3\n.00\n1\n.00\n1\n.00\n.00\n3EHC5\n1\n00\n00\n13\n.00\n.00\n.00\n.00\n13\n.00\n00\n13\n3EHE5\n30\n13.33\n3.33\n26\n.00\n.00\n29\n.00\n00\n31\n6.45\n.00\n.00\n.00\n31\n.00\n.00\n29\n3EHO6\n.00\n.00\n1\n100.00\n.00\n0\n00\n1\n.00\n3EHOA\n16\n12.50\n.00\n14\n00\n.00\n.00\n.00\n3EHP5\n16\n24\n12.50\n.00\n.00\n21\n19.05\n24\n25.00\n.00\n3EHR6\n1\n.00\n.00\n00\n.00\n.00\n.00\n1\n3EI03\n1\n1\n100.00\n.00\n.00\n.00\n0\n.00\n3EI3\n1\n.00\n.00\n1\n.00\n1\n.00\n.00\n3EIB\n1\n.00\n.00\n9\n.00\n.00\n.00\n.00\n.00\n.00\n9\n3EIB3\n9\n8\n12.50\n12.50\n7\n00\n.00\n7\n.00\n.00\n3EIC2\n1\n100.00\n00\n0\n.00\n.00\n3EIC3\n1\n.00\n00\n10\n.00\n10.00\n10\n.00\n.00\n9\n.00\n00\n3EID3\n7\n14.29\n.00\n6\n.00\n.00\n7\n.00\n00\n3EIO\n17.86\n.00\n23\n.00\n.00\n28\n.00\n28\n.00\n3EI03\n.00\n.00\n1\n.00\n1\n.00\n1\n.00\n.00\n3EIS\n14\n.00\n.00\n14\n00\n00\n00\n00\n3EIS3\n14\n.00\n.00\n50.00\n2\n2\n100.00\n50.00\n3EIX2\n2\n100.00\n22\n.00\n.00\n22\n.00\n00\n22\n.00\n.00\n3EJI5\n2\n100.00\n.00\n0\n.00\n00\n.00\n3EJJ5\n2\n.00\n30\n3.33\n.00\n.00\n29\n31.03\n33.33\n.00\n3EJO6\n30\n1\n.00\n.00\n1\n.00\n00\n.00\n00\n3EJOK\n1\n.00\n85.71\n7\n.00\n85.71\n7\n100.00\n3EKC5\n7\n100.00\n8\n50.00\n.00\n4\n.00\n.00\n.00\n.00\n3EKH3\n8\n5\n40.00\n.00\n3\n.00\n.00\n.00\n5\n.00\n3EKI3\n36\n.00\n.00\n36\n.00\n.00\n36\n.00\n.00\n3EKN3\n100.00\n.00\n1\n00\n.00\n1\n.00\n.00\n0\n3EKNE\n1\n.00\n.00\n.00\n.00\n.00\n1\n00\n1\n3EKS\n.00\n1\n100.00\n0\n00\n.00\n1\n.00\n.00\n3EKY\n22\n.00\n.00\n22\n00\n.00\n22\n.00\n.00\n3EKY6\n3\n33.33\n.00\n.00\n3\n.00\n00\n2\n00\n3ELC\n29\n.00\n00\n29\n00\n.00\n29\n.00\n00\n3ELC6\n200","Table F10 (continued). Ships (792/892) June 1988.\nNote: 124 intervening pages have been omitted\n201","(continued).\n(792/892)\nShips\nJune\n1988.\nTable\nF10\n% FNOC\n% NMC\n% Of f-6 % Off-3\nMAX\n% Off-6 % Off-3\nCall\nFNOC\nNMC\n5\n00\n00\n5\n.00\n.00\n5\n.00\n00\nYDLR\n25.00\n.00\n3\n.00\n.00\n4\n.00\n00\nYDVE\n4\n.00\n.00\n6\n83.33\n00\n1\n.00\nYDVF\n6\n.00\n1\n.00\n.00\n1\n00\n.00\nYEKK\n1\n00\n00\n.00\n.00\n100.00\n.00\n1\n100.00\n00\n1\nYEMIO\n1\n.00\n.00\n2\n.00\n00\n2\n00\nYFT\n2\n00\n.00\n.00\n.00\n.00\n1\n00\n00\n1\nYH5E\n1\n00\n.00\n1\n.00\n1\n.00\nYHED\n1\n.00\n00\n2\n.00\n00\n.00\n.00\n.00\n00\n2\nYHEO\n2\n00\n00\n00\n1\n00\n1\n.00\nYHFI\n1\n.00\n2\n50.00\n00\n1\n.00\n00\n2\n.00\n.00\nYHJ\n.00\n00\n1\n00\n00\n1\n.00\nYHKF\n1\n00\n1\n.00\n00\n1\n.00\n.00\nYJDP\n1\n00\n00\n.00\n100.00\n.00\n00\n1\n00\n00\n1\nYJPQQ\n0\n00\n.00\n1\n.00\n00\n1\n.00\nYJW6\n1\n00\n28\n17.86\n00\n.00\n00\n00\n00\n23\nYJWD6\n28\n3\n33.33\n.00\n100.00\n2\n100.00\n3\n100.00\n100.00\nYJWH2\n7\n.00\n.00\n7\n.00\n00\n7\n00\n00\nYJWM\n54\n9.26\n00\n00\n54\n44.44\n00\n49\n44.90\nYJWM7\n28\n25.00\n10.71\n21\n.00\n.00\nYJWP4\n25\n.00\n00\n100.00\n.00\n.00\n.00\n1\n.00\n.00\n0\nYJWPT\n1\n.00\n.00\n1\n.00\n00\n1\n.00\nYLCZ\n1\n.00\n1\n.00\n.00\n1\n.00\n.00\nYLEP\n1\n.00\n.00\n00\n.00\n.00\n.00\n1\n00\n.00\n1\nYLH\n1\n3\n100.00\n.00\n0\n.00\n.00\nYP4356\n3\n66.67\n00\n100.00\n.00\n.00\n.00\n1\n00\n0\nYP4674\n1\n100.00\n.00\n.00\n9\n100.00\n0\n.00\nYP8657\n9\n00\n00\n23\n100.00\n.00\n.00\n.00\n65.22\n00\n0\nYQ4356\n23\n.00\n.00\n1\n00\n00\n1\n.00\nYQQ\n1\n00\n1\n00\n.00\n.00\n.00\n00\n.00\n1\nYQQQ\n1\n38\n100.00\n.00\n.00\n5.26\n0\n.00\nYR4481\n38\n55.26\n1\n100.00\n.00\n0\n.00\n.00\nYR4482\n1\n100.00\n00\n100.00\n.00\n.00\n.00\n11\n18.18\n00\n0\nYR5386\n11\n7\n100.00\n.00\n0\n.00\n.00\n7\n.00\n.00\nYS3261\n.00\n.00\n.00\n.00\n2\n.00\n2\n2\n.00\nYSBE\n00\n.00\n1\n.00\n1\n.00\nYSBS\n1\n.00\n.00\n1\n.00\n00\n.00\n.00\n.00\n.00\n1\nYSKK\n1\n.00\n100.00\n.00\n1\n.00\n1\n.00\nYT\n0\n.00\n00\n1\n.00\n1\n.00\n.00\nYTAE\n1\n.00\n.00\n11\n9.09\n.00\n10\n.00\n.00\n.00\n.00\nYTAR\n11\n2\n.00\n.00\n.00\n.00\n2\n.00\nYTBS\n2\n.00\n6\n.00\n.00\n6\n.00\n.00\n6\n.00\n00\nYTCB\n.00\n00\n1\n100.00\n00\n0\n.00\nYTCF\n1\n.00\n9\n.00\n.00\n9\n.00\n.00\n.00\n00\nYTCZ\n9\n3\n.00\n.00\n.00\n00\n3\n.00\n00\n3\nYTDR\n.00\n00\n1\n.00\n1\n.00\n1\n.00\n.00\nYTEL\n.00\n.00\n.00\n00\n1\n1\n.00\n.00\n1\nYTFI\n24\n8.33\n4.17\n22\n.00\n00\n23\n.00\n.00\nYTFQ\n29\n10.34\n10.34\n26\n.00\n00\n26\n.00\n00\nYTGM\n.00\n00\n11\n9.09\n10\n.00\n00\nYTHK\n11\n.00\n3\n.00\n00\n3\n.00\n.00\n3\n.00\n00\nYTHU\n6\n83.33\n00\n.00\n6\n.00\n00\n1\n.00\nYTIR\n2\n.00\n100.00\n2\n.00\n.00\n.00\n00\nYTIR*\n0\n2\n100.00\n.00\n.00\n00\n00\n0\nYTIR\n2\n.00\n25\n.00\n12.00\n25\n.00\n00\n22\n00\n00\nYTLX\n1\n.00\n.00\n.00\n.00\n1\n00\n00\n1\nYTM\n33\n00\n6.06\n33\n6.06\n.00\n31\n6.45\n00\nYTMH\n.00\n19\n15.79\n16\n00\n.00\n19\n.00\n00\nYTMO\n2\n.00\n.00\n2\n.00\n00\n2\n.00\n00\nYTMQ\n.00\n00\n1\n100.00\n00\n0\n.00\n1\n.00\nYTMR\n100.00\n.00\n.00\n00\n1\n.00\n00\n0\nYTNX1\n1\n.00\n00\n1\n.00\n.00\n00\n1\n.00\nYTOI\n1\n3\n.00\n.00\n3\n.00\n00\n3\n.00\n00\nYTOS\n.00\n.00\n.00\n00\n1\n00\n1\nYTQM\n1\n.00\n1\n.00\n100.00\n1\n.00\n.00\nYTS\n0\n00\n00\n3\n00\n.00\n3\n.00\n.00\n3\n00\n00\nYTSD\n12\n75.00\n.00\n3\n.00\n.00\n12\n00\n00\nYTTD\n30\n73.33\n3.33\n8\n.00\n.00\n29\n00\n00\nYTTH\n.00\n5\n.00\n.00\n6\n16.67\n00\n6\n00\nYTTJ\n8\n25.00\n.00\n6\n.00\n00\n8\n00\n00\nYTTO\n202","Table\nF10\n(continued).\nShips\n(792/892)\nJune\n1988.\nCall\nFNOC\n% Of f-6 % Of f-3\nNMC\n% Of f-6 % Of f-3\nMAX\n% FNOC\n% NMC\nYTTS\n0\n.00\n00\n1\n.00\n.00\n1\n.00\n100.00\nYTTX\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYTTY\n6\n.00\n00\n5\n.00\n.00\n6\n16.67\n.00\nYTUI\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nYTUJ\n3\n.00\n.00\n2\n.00\n.00\n3\n33.33\n.00\nYTVO\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYTWD\n12\n.00\n.00\n2\n00\n.00\n12\n83.33\n.00\nYTXC\n4\n.00\n.00\n4\n00\n.00\n4\n.00\n00\nYTXT\n3\n.00\n.00\n3\n.00\n.00\n3\n.00\n.00\nYTXV\n9\n.00\n.00\n5\n.00\n.00\n9\n44.44\n.00\nYTYB\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYTYG\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYTYH\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYTYM\n7\n.00\n.00\n7\n.00\n.00\n7\n.00\n.00\nYUBE\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYUDD\n16\n.00\n.00\n15\n.00\n.00\n16\n6.25\n.00\nYUEJ\n14\n.00\n.00\n7\n.00\n.00\n14\n50.00\n.00\nYUFS\n5\n.00\n.00\n3\n.00\n.00\n5\n40.00\n.00\nYUGG\n1\n.00\n.00\n1\n00\n.00\n1\n.00\n.00\nYUGQ\n9\n44.44\n.00\n8\n50.00\n.00\n9\n11.11\n.00\nYUGV\n3\n.00\n.00\n2\n.00\n.00\n3\n33.33\n.00\nYUHP\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYUTA\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nYUZY\n1\n.00\n.00\n1\n00\n.00\n1\n.00\n.00\nYWX\n1\n00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nYXPM\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\nYZ3931\n34\n.00\n.00\n0\n.00\n.00\n34\n100.00\n.00\nYZU\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n00\nZ\n0\n.00\n.00\n1\n.00\n.00\n1\n00\n100.00\nZ34928\n1\n100.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nZ4ZR26\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\nZ5RX\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZ5ZW\n7\n.00\n.00\n5\n.00\n.00\n7\n28.57\n.00\nZAKT\n2\n.00\n.00\n2\n.00\n.00\n2\n00\n.00\nZB2018\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nZBWF\n60\n.00\n.00\n55\n.00\n00\n63\n12.70\n4.76\nZBWK\n21\n.00\n.00\n20\n.00\n00\n21\n4.76\n.00\nZBXOSQ\n0\n.00\n.00\n1\n.00\n00\n1\n.00\n100.00\nZC4516\n1\n00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nZC4518\n13\n30.77\n15.38\n0\n.00\n.00\n13\n100.00\n.00\nZC7L\n1\n00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZCAB\n23\n.00\n.00\n16\n.00\n.00\n23\n30.43\n.00\nZCAB2\n19\n.00\n.00\n8\n.00\n.00\n19\n57.89\n.00\nZCIK\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZCK\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZCKA\n38\n.00\n.00\n36\n.00\n.00\n38\n5.26\n.00\nZCKB\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZCKC\n60\n.00\n.00\n58\n.00\n00\n60\n3.33\n.00\nZCKD\n85\n.00\n.00\n81\n.00\n00\n88\n7.95\n3.41\nZCKE\n16\n.00\n.00\n16\n.00\n00\n16\n.00\n.00\nZCKH\n2\n.00\n.00\n41\n.00\n00\n42\n2.38\n95.24\nZCKL\n43\n4.65\n.00\n39\n5.13\n.00\n43\n9.30\n.00\nZCKN\n65\n7.69\n.00\n62\n8.06\n.00\n66\n6.06\n1.52\nZCKNH\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nZCKP\n54\n3.70\n.00\n31\n6.45\n.00\n54\n42.59\n.00\nZCKU\n8\n.00\n.00\n8\n.00\n.00\n8\n.00\n.00\nZCKX\n58\n.00\n.00\n41\n.00\n.00\n59\n30.51\n1.69\nZCKXN\n1\n.00\n.00\n0\n.00\n.00\n1\n100.00\n.00\nZCSB\n14\n.00\n.00\n12\n.00\n.00\n15\n20.00\n6.67\nZCSF\n2\n.00\n.00\n2\n.00\n.00\n2\n.00\n.00\nZCSH\n28\n3.57\n3.57\n25\n4.00\n4.00\n28\n10.71\n.00\nZCSI\n42\n.00\n.00\n38\n.00\n.00\n44\n13.64\n4.55\nZCSK\n62\n.00\n.00\n62\n.00\n.00\n64\n3.13\n3.13\nZCSL\n27\n.00\n.00\n20\n.00\n.00\n27\n25.93\n.00\nZCSS\n32\n3.13\n3.13\n31\n.00\n.00\n35\n11.43\n8.57\nZCSV\n17\n.00\n.00\n20\n.00\n.00\n21\n4.76\n19.05\nZCSV*\n0\n.00\n.00\n12\n.00\n.00\n12\n.00\n100.00\nZCSV/\n12\n.00\n.00\n0\n.00\n00\n12\n100.00\n.00\nZCSX\n32\n.00\n.00\n30\n.00\n.00\n32\n6.25\n.00\nZCSZ\n43\n00\n.00\n33\n00\n00\n44\n25.00\n2.27\n203","(continued).\n(792/892)\nJune\n1988.\nTable\nF10\nShips\n% Of f-6 % Off-3\nMAX\n% FNOC\n% NMC\nCall\nFNOC\n% Off-6 % Off-3\nNMC\n28\n.00\n00\n28\n00\n100.00\nZCSZ*\n0\n.00\n.00\n100.00\n00\n.00\n.00\n30\nZCSZ/\n30\n.00\n.00\n0\n5.88\n16\n.00\n.00\n16\n.00\n.00\n17\n5.88\nZCUA\n15\n.00\n.00\n15\n.00\n6.67\nZCUF\n14\n.00\n.00\n.00\n.00\n18\n.00\n.00\n18\n.00\n.00\n18\nZCUI\n.00\n22\n.00\n.00\nZCUV\n22\n.00\n.00\n22\n.00\n9.09\n.00\n.00\n.00\n11\nZCUY\n11\n.00\n.00\n10\n00\n1\n.00\n.00\n1\n.00\nZCXS\n1\n.00\n.00\n.00\n.00\n2\n.00\n100.0\nZCZB2\n0\n.00\n.00\n2\n.00\n1\n.00\n100.00\n.00\n1\n.00\nZD\n0\n.00\n1\n.00\n.00\n1\n.00\n.00\nZDA6\n1\n.00\n.00\n17\n41.18\n.00\n.00\n.00\n10\n.00\nZDAN6\n17\n.00\n24\n.00\n.00\n24\n.00\n.00\nZDAO5\n24\n00\n.00\n20.69\n.00\n.00\n.00\n29\nZDAP\n29\n.00\n.00\n23\n.90\n.00\n111\n22.52\nZDAP5\n110\n.00\n.00\n86\n.00\n37.93\n.00\n.00\n.00\n29\n.00\n.00\n18\nZDAP6\n29\n3.39\n52\n.00\n.00\n59\n11.86\n57\n.00\n.00\nZDAQ2\n54\n16.67\n.00\n.00\n.00\n54\n.00\n.00\n45\nZDAQ3\n.00\n22\n68.18\n4.55\n.00\n7\n.00\nZDAQ4\n21\n00\n64\n32.81\n.00\n43\n.00\n.00\nZDAQ5\n64\n00\n.00\n30.49\n.00\n57\n.00\n.00\n82\n.00\n.00\nZDAQ6\n82\n1.67\n.00\n60\n25.00\n.00\n45\n.00\nZDAR2\n59\n.00\n22\n22.73\n4.55\n17\n.00\n.00\nZDAZ6\n21\n.00\n.00\n31.03\n.00\n.00\n.00\n29\nZDBE9\n29\n.00\n.00\n20\n19\n5.26\n.00\n18\n.00\n.00\nZDBJ4\n19\n.00\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZDJQ6\n1\n.00\n00\n1\n.00\n.00\n1\n.00\nZDRS\n1\n.00\n.00\n12\n8.33\n8.33\n.00\n.00\n11\n.00\n.00\n11\nZDSR\n.00\n.00\n1\n100.00\n.00\n0\n.00\nZE4085\n1\n.00\n100.00\n.00\n.00\n.00\n45\n48.89\n.00\n0\nZE4928\n45\n.00\n.00\n1\n100.00\n.00\n0\n.00\nZE4949\n1\n100.00\n25\n100.00\n.00\n0\n.00\n.00\nZE7718\n25\n40.00\n4.00\n00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZEBN\n1\n8\n.00\n00\n8\n.00\n.00\nZEKA\n8\n.00\n.00\n45.00\n00\n.00\n.00\n20\n.00\n11\nZEKE\n20\n.00\n32\n.00\n100.00\n32\n.00\n.00\nZEKE*\n0\n.00\n.00\n31\n100.00\n.00\n.00\n.00\nZEKE/\n31\n.00\n.00\n0\n15.79\n2.63\n.00\n38\n37\n.00\n.00\n32\n.00\nZEKH\n5\n.00\n.00\n5\n.00\n.00\n5\n.00\n.00\nZEKL\n4.00\n8.00\n.00\n.00\n25\n4.35\n4.35\n24\nZEKT\n23\n1.56\n.00\n64\n20.31\n63\n.00\n.00\n51\n.00\nZEKW\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZEL\n.00\n5\n.00\n.00\n6\n16.67\n6\n.00\n.00\nZELC\n2\n.00\n.00\n2\n00\n.00\n.00\n.00\nZELH\n2\n7.04\n4.23\n66\n7.58\n.00\n71\n.00\nZELL\n68\n7.35\n.00\n0\n.00\n.00\n1\n100.00\nZELLO\n1\n.00\n.00\n19.78\n.00\n73\n.00\n.00\n91\n.00\n.00\nZELM\n91\n63\n23.81\n3.17\n48\n.00\n.00\nZELN\n61\n.00\n.00\n35\n31.43\n2.86\n.00\n.00\n.00\n.00\n24\nZELP\n34\n.00\n.00\n1\n.00\n.00\n1\n.00\nZEN\n1\n.00\n43\n32.56\n.00\n29\n.00\n.00\n43\n.00\n.00\nZENM\n4.00\n.00\n50\n6.00\n48\n.00\n.00\n47\n.00\nZENO\n7\n71.43\n.00\n.00\n.00\n7\n.00\n.00\n2\nZEOG\n.00\n100.00\n.00\n.00\n17\n0\n.00\n.00\n17\nZEOG*\n00\n0\n.00\n.00\n19\n100.00\nZEOG/\n19\n.00\n.00\n26\n7.69\n.00\n24\n.00\n.00\n26\n.00\n.00\nZEOH\n57.14\n00\n.00\n14\n14\n.00\n.00\n6\n.00\nZEOI\n1\n.00\n100.00\n1\n.00\n.00\nZEOI*\n0\n.00\n.00\n100.00\n00\n.00\n.00\n1\nZEOI/\n1\n.00\n.00\n0\n00\n.00\n4\n.00\n4\n.00\n.00\n4\n.00\nZEOJ\n00\n100.00\n.00\n.00\n1\n.00\n.00\n1\nZEOJ\n0\n.00\n.00\n2\n100.00\nZEOJ/\n2\n.00\n.00\n0\n.00\n31\n61.29\n3.23\n12\n.00\n.00\n30\n.00\n.00\nZEOM\n.00\n100.00\n.00\n.00\n1\n0\n.00\n.00\n1\nZEOM*\n3\n100.00\n.00\n0\n.00\n.00\nZEOM/\n3\n.00\n.00\n17\n29.41\n.00\n.00\n17\n.00\n.00\n12\n.00\nZEOQ\n1\n100.00\n.00\n0\n.00\n.00\n1\n.00\n.00\nZEOQM\n5\n20.00\n.00\n.00\n.00\n5\n.00\n.00\n4\nZEOS\n36\n8.33\n2.78\n33\n.00\n.00\n35\n.00\n.00\nZEOT\n58\n25.86\n1.72\n.00\n00\n57\n00\n.00\n43\nZEOU\n204","Table\nF10\n(continued).\nShips\n(792/892)\nJune\n1988.\nCall\nFNOC\n% Of f-6 % Of f-3\nNMC\n% Of f-6 % Off-3\nMAX\n% FNOC\n% NMC\nZEPC\n1\n00\n00\n1\n.00\n.00\n1\n00\n00\nZEPK\n28\n3.57\n3.57\n18\n5.56\n5.56\n28\n35.71\n00\nZES\n1\n100.00\n00\n0\n.00\n.00\n1\n100.00\n00\nZETT\n1\n.00\n.00\n1\n.00\n.00\n1\n00\n.00\nZETU\n8\n.00\n.00\n5\n.00\n.00\n8\n37.50\n.00\nZETW\n3\n.00\n.00\n3\n.00\n.00\n3\n00\n00\nZEUHG\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\nZF9655\n3\n.00\n.00\n0\n.00\n.00\n3\n100.00\n00\nZFCB\n3\n.00\n00\n4\n.00\n.00\n7\n42.86\n57.14\nZFCH\n31\n00\n00\n8\n.00\n.00\n33\n75.76\n6.06\nZFEV\n4\n00\n00\n4\n.00\n.00\n4\n.00\n.00\nZFFP\n1\n00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZFFT\n90\n.00\n.00\n71\n.00\n.00\n90\n21.11\n.00\nZFFW\n62\n00\n.00\n51\n.00\n.00\n64\n20.31\n3.13\nZFP\n2\n00\n.00\n2\n.00\n.00\n2\n.00\n.00\nZFPVY\n1\n100.00\n.00\n1\n100.00\n.00\n1\n.00\n.00\nZHEM\n1\n00\n.00\n1\n.00\n.00\n1\n.00\n00\nZHEM7\n6\n.00\n.00\n10\n40.00\n10.00\n10\n.00\n40.00\nZHPLF\n1\n.00\n.00\n0\n.00\n00\n1\n100.00\n00\nZJ9613\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZJAR2\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZJDU\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZJFY\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZJOB\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZJWN\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZJYW\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZKAWBP\n1\n.00\n00\n0\n.00\n.00\n1\n100.00\n.00\nZKBW\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZKCA\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZM755\n0\n.00\n.00\n1\n.00\n.00\n1\n.00\n100.00\nZM7552\n27\n.00\n.00\n27\n.00\n.00\n28\n3.57\n3.57\nZMAR\n26\n.00\n.00\n23\n.00\n.00\n26\n11.54\n.00\nZMAU\n29\n.00\n.00\n25\n.00\n.00\n29\n13.79\n.00\nZMBN\n9\n88.89\n44.44\n8\n100.00\n37.50\n10\n20.00\n10.00\nZMBS\n6\n83.33\n83.33\n5\n80.00\n80.00\n6\n16.67\n.00\nZMCH\n6\n100.00\n66.67\n5\n100.00\n80.00\n6\n16.67\n.00\nZMFL\n20\n100.00\n100.00\n20\n100.00\n100.00\n21\n4.76\n4.76\nZMFM\n38\n.00\n.00\n27\n00\n00\n38\n28.95\n.00\nZMHV\n11\n36.36\n.00\n11\n36.36\n.00\n12\n8.33\n8.33\nZMIO\n16\n18.75\n.00\n16\n18.75\n.00\n16\n.00\n.00\nZMJC\n33\n.00\n.00\n30\n.00\n.00\n35\n14.29\n5.71\nZMJK\n52\n.00\n.00\n53\n.00\n.00\n53\n.00\n1.89\nZMKP\n23\n13.04\n.00\n21\n14.29\n.00\n23\n8.70\n.00\nZMKX\n2\n.00\n.00\n2\n.00\n.00\n2\n.00\n.00\nZMLP\n26\n.00\n.00\n25\n.00\n.00\n26\n3.85\n.00\nZMNA\n25\n.00\n.00\n18\n.00\n.00\n25\n28.00\n.00\nZMQN\n4\n25.00\n.00\n4\n25.00\n.00\n4\n.00\n.00\nZMQR\n18\n11.11\n.00\n11\n9.09\n.00\n18\n38.89\n.00\nZMRX\n16\n.00\n.00\n16\n.00\n00\n18\n11.11\n11.11\nZMSD\n18\n44.44\n44.44\n10\n.00\n00\n18\n44.44\n.00\nZMSF\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZMSM\n31\n00\n.00\n22\n.00\n.00\n31\n29.03\n.00\nZMSO\n21\n100.00\n.00\n19\n100.00\n.00\n21\n9.52\n.00\nZMTS\n20\n00\n.00\n17\n.00\n.00\n20\n15.00\n.00\nZMUZ\n13\n.00\n.00\n12\n.00\n.00\n13\n7.69\n.00\nZ02613\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZOMR\n1\n.00\n.00\n1\n.00\n00\n1\n.00\n00\nZOW\n4\n.00\n.00\n3\n.00\n00\n4\n25.00\n00\nZOYA\n1\n.00\n.00\n1\n.00\n.00\n1\n00\n00\nZP8164\n30\n3.33\n3.33\n0\n.00\n.00\n30\n100.00\n00\nZPPE\n1\n.00\n.00\n1\n.00\n.00\n1\n00\n.00\nZR26\n1\n.00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZR2613\n78\n.00\n.00\n76\n.00\n.00\n82\n7.32\n4.88\nZR2627\n13\n.00\n00\n13\n.00\n.00\n13\n.00\n.00\nZR263\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZR26QE\n1\n.00\n00\n1\n.00\n.00\n1\n.00\n.00\nZR2Q\n1\n00\n.00\n1\n.00\n.00\n1\n.00\n.00\nZRGWYQ\n0\n00\n.00\n1\n.00\n.00\n1\n.00\n100.00\nZRJYQE\n1\n00\n.00\n1\n.00\n.00\n1\n.00\n00\nZS\n0\n00\n.00\n2\n.00\n.00\n2\n.00\n100.00\n205","Table F10 (continued).\n(792/892)\nShips\nJune\n1988.\n% Of f-6 % Off-3\nMAX\n% FNOC\n% NMC\n% Off-6 % Off-3\nCall\nFNOC\nNMC\n14.52\n1.61\n53\n1.89\n1.89\n62\n61\n4.92\n4.92\nZSBN\n1\n.00\n.00\n1\n.00\n.00\nZSFI\n1\n.00\n.00\n.00\n78\n3.85\n1.28\n77\n.00\n.00\n75\n.00\nZSFP\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZSGA\n1\n1\n.00\n.00\n1\n.00\n.00\nZSHK\n1\n.00\n.00\n1.67\n.00\n60\n10.00\n59\n1.69\n1.69\n54\n.00\nZSJN\n100.00\n.00\n.00\n.00\n1\n.00\n.00\n0\nZSLP\n1\n1\n.00\n.00\n1\n.00\n.00\nZSNP\n1\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\n.00\nZSP\n1\n.00\n51\n23.53\n1.96\n.00\n.00\n39\n.00\n.00\nZSPP\n50\n73\n20.55\n.00\n58\n.00\n.00\nZSUY\n73\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\n100.00\nZSWI\n1\n100.00\n16.22\n10.81\n.00\n.00\n37\nZSZW\n33\n.00\n.00\n31\n6\n50.00\n.00\n3\n.00\n.00\nZSZW1\n6\n.00\n.00\n.00\n.00\n3\n.00\n.00\n3\n.00\nZSZW3\n3\n.00\n33.33\n.00\n.00\n.00\n3\nZSZW4\n3\n.00\n.00\n2\n1\n.00\n100.00\n1\n.00\n.00\nZTG\n0\n.00\n.00\n.00\n29\n.00\n.00\n26\n.00\n.00\n29\n10.34\nZTMR\n54\n22.22\n.00\n.00\n.00\n54\n.00\n.00\n42\nZTSG\n1\n.00\n100.00\n1\n.00\n.00\nZTXG\n0\n.00\n.00\n100.00\n.00\n1\n.00\n.00\n1\n.00\nZTXXVO\n0\n.00\n.00\n.00\n.00\n.00\n7\n7\n.00\n.00\n7\nZUAB\n0\n.00\n.00\n1\n100.00\n.00\nZUBN\n1\n.00\n.00\n.00\n.00\n29\n10.34\n.00\n26\n.00\nZUBR\n29\n.00\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZUCU\n1\n1\n.00\n.00\n1\n.00\n.00\nZUTNA\n1\n.00\n.00\n.00\n1\n.00\n.00\n.00\n1\n.00\nZUTUD\n1\n.00\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZUWB\n1\n1\n.00\n.00\n1\n.00\n.00\nZUXKE\n1\n.00\n.00\n100.00\n.00\n1\n.00\n.00\n1\n.00\nZVAWJB\n0\n.00\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZWCGN\n1\n1\n.00\n100.00\n1\n.00\n.00\nZZ\n0\n.00\n.00\n.00\n.00\n1\n100.00\n.00\n0\n.00\nZZDAQ2\n1\n.00\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\nZZGQ\n1\n1\n.00\n.00\n1\n.00\n.00\nZZR262\n1\n.00\n.00\n.00\n.00\n1\n.00\n.00\n1\n.00\nZZSPP\n1\n.00\n19,405\n5,025\n9,617\n838\n132,879\n127,854\n12,356\n2,029\n113,474\nTotal\nTotal call sign entries: 9,206\n206","NMC\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n8\n16\n10\n0\n8\n8\n8\n0\n7\n6\n0\n3\n9\n12\n3\n4\n1\nREPORTS:\nTOTAL\nFNOC\n24\n23\n24\n21\n24\n23\n23\n23\n22\n24\n22\n21\n24\n24\n20\n24\n24\n20\n23\n24\n24\n24\n24\n22\n23\n24\n24\n7\n7\n23\n24\n23\n24\n23\n24\n22\n24\n24\n24\n24\n24\n15\n16\n8\n1\n8\n8\n22\n7\n19\n3\n0\n10\n12\n19\n19\n0\n23\n10\n11 10 10 11 10 10\n10\n10\n10\n10\n11 10 10 01 10 10\n11 10 10 11 00 10\n11 00 10\n11 10 10 11 10 10\n11 10 10 11 00 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 00 00\n10 10 11 10 10\n11 10 10 11 10 10\n11 00 10 11 00 10\n11 10 10 11 10 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10\n10\n11 00 10\n11 10 10\n11 10 10\n01 00 00 11 00 00\n01 00 00 11 00 00\n11 10 10 11 00 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n10\n11 00 10\n11 10 10\n11 00 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10 11 10 10\n12 00 12\n00 00 00\n11 00 00\n11 00 00 11 00 00\n11 00 00\n22 00 21\n10 00 10\n11 00 00 00 00 00\n00 10 10\n00 00 10\n00 00 00\n00 00 00\n00 00 00\n00 10 10\n11 10 00\n00 00 00\n22\n00 10 10 11 00\n11 10 10 01 10\n10\n10\n10\n10\n10\n21\n11 10 10 11\n11 10 10 11\n11 10 10 01\n11\n11\n20\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n00 00 00\n11 00 00\n11 10 11\n10 11 11\n11 00 00\n10 10 10\n11 10 10\n00 00 00\n01 00 00\n00 11 00\n11 00 12\n10 10 10\n11 00 10\n00 00 00\n19\n1986.\n18\n11\nDec.\n17\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\nProbably a foreign buoy not collected by NDBC, or sign.\n11 10 10 01 10 11\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 00 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 00 00\n11 00 00 11 00 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 00\n11 10 10 11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10 11 10 10\n00 11 00\n00 10 00\n00 00 00\n11 00 00\n11 00 00\n11 00 00\n10 10 10\n11 00 00 11 00 00\n11 10 00 11 10 10\n00\n01 00 00 00 00 00\n11 00 00 12 00 10\n01 11 00 12 00 10\n11.10 00 11 10 10\n10 10 00 10 10 10\n01 00 00 00 00 00\n1\n16\n10\nfor\n15\n00 00 00 00\n(UTC)\n14\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 00 00\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n00 00 00\n11 00 00\n11 00 00\n00 00 11\n00 00 11\n11 00 00\n10 10 10\n13\nhour\n12\nper\n10 11 10 10\n10 11 10 10\n10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 00 11 10 10\n11 10 10 11 10 10\n00 00 10\n11 10 10 11 10 10\n10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10\n00 10 10\n11 10 10\n11 10 10\n11 10 10\n11 00 00\n11 00 00\n11 10 10\n11 10 10 11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10 11 10 10\n11 00 00\n11 00 00\n00 00 00\n11 00 00\n11 00 00\n11 00 00\n10 00 10\n11 00 00\n10 10 10\n10 00 00 00 00 00\n01 00 00 00 00 00\n00 11 00 12 10 00\n00 11 00 12 10 10\n11 00 10 10 10 10\n00 10 10 10 10\n00 00 00 00 00 00\n(sorted)\n10\n10\n9\n11\n8\n11 10 10\n11 10 11\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 11\n11 00 00\n11 00 00\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n10 00 10\n11 00 11\n00 00 00\n11 00 00\n11 00 00\n11 00 00\n10 10 10\n11 00 00\n11 00 10\nreports\n7\n10\n10\n6\n11\n11\n11\n10\n(right-digit)\nbuoy\n5\n10\n10 10 11 10 10\n10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 00 11 10 10\n11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 00 11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 00 00\n11 00 00\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 00 10 11 10 10\n11 10 10 11 10 10\n11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n11 10 10 11 10 10\n10 22 00\n10 00 00\n11 00 00\n11 00 00\n11 00 00\n00 11 01\n10 10 10\n11 00 00\n11 10 00\n00 00 00 00 00 00\n00 00 00 00 00 00\n10 00 10 10 10 00\n11 10 10 11 10 00\n00\n00 00 11 10 00 11\n00 11 00 10 00 11\nmoored\n4\n10\n00\n3\n11\n00\nNMC\nof\n2\n10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 10 10\n11 00 00\n11 00 00\n11 10 10\n00 00 00\n11 00 00\n00 12 11\n11 00 00\n00 20 11\n11 00 00\n10 10 10\n11 00 00\n11 00 10\n00\nNumber\n(left-digit)\n1\n10\n00\n0\n11\n11\n11\n00\nHour=\nF11.\nCALL SIGN\n5416H9\n17001\n17002*\n21001\n21002*\n21004*\n22001*\n42107*\n62026*\n62027*\n62028*\n62081\n63001\n63005*\n64041\n64042*\nTable\n32302\n41002\n41006\n41001\n42001\n42002\n42003\n42009\n44004\n44005\n44007\n44008\n44009\n44012\n44011\n44013\n45003\n45008\n46003\n45001\n46001\n46004\n46005\n46006\n46012\n46013\n46014\n46016\n46017\n46023\n46025\n46026\n46027\n46028\n46035\n46037\n46038\n51001\n51002\n51003\n51005\nFNOC","% of MAX\n% of MAX\n6%\n3%\n28%\n6%\n12\n1094\n681\n24\n410\n11\n24\n5\n85\n1086\n423\n21 22 23\n0\n48 32 43\n1 32 41\n21 22 23\n21 22 23\n21 22 23\n46 32 44\n3\nNumber of moored buoy reports (sorted) per hour (UTC) for 1 Dec. 1986.\n0\n0\n3\n1\n3\n48\n0\n7\n49\n1\n20\n3 42 43\n0\n46\n20\n18 19 20\n20\n46\n4\n19\n0\n44\n19\n19\n44\n2\n18\n3\n52\n18\n3\n3\n52\n3\n12\n18\n1\n49\n49\n15 16 17\n2 44 42\n0\n51 45 43\n15 16 17\n15 16 17\n15 16 17\n50 45 43\n1\n0\n1\n1\n2\n1\n2\n0\n10\n51\n51\n14\n2 43 40\n0\n42\n14\n12 13 14\n14\n42\n2\n13\n0\n44\n13\n13\n44\n1\n12\n3\n53\n12\n2\n3\n53\n2\n3\n12\n12\n50\n51\n4 43 42\n0\n51 43 42\n9 10 11\nNumber of unique 3-hourly reports for 57 call signs\nNumber of unique 3-hourly reports for foreign buoys\n51 43 42\n0\n9 10 11\n9 10 11\n9 10 11\n0\n0\nTotal number of reports (including duplicates)\n0\n4\n0\n4\n0\n12\n49\n51\nNumber of unique reports for 57 call signs\n8\n0\n44\n4 40 41\n8\n8\n8\n44\n3\n7\n0\n42\n7\n7\n7\n42\n2\n6\n1\n53\n6\n4\n53\n6\n1\n4\n12\n6\n52\n49\n1\n5\n39\n42\n5\n1\n5\n5\n3\n44 53 46 41\n4\n43\n0\n45\n4\n4\n4\n3\n3\n6\n0\n53\n3\n6\n0\n53\n3\n6\n0\n12\n3\n47\nTable F11 (continued)\n2\n0\n2\n2\n3\n41\n44\n2\n0\n43\n44\n3\n1\n41\n1\n1\n1\n0\n2\n0\n49\n0\n2\n0\n49\n0\n2\n0\n8\n0\n49\n47\nHour=\nHour=\nHour=\nHour=\nFNOC =\nNMC =\nMAX =\nFNOC =\nNMC =\n=\nFNOC =\nNMC =\nMAX =\nFNOC =\nNMC =\nMAX","RPTS\nFNOC NMC GWC\n1\n1\n2\n0\n0\n1\n1\n0\n1\n1\n1\n1\n2\n1\n3\n2\n1\n2\n2\n2\n1\n1\n1\n1\n1\n1\n1\n1\n1\n3\n1\n2\n4\n1\n1\n0\n0\n2\n2\n1\n1\n0\n1\n1\n1\n2\n1\n1\n1\n1\n3\n1\n2\n2\n2\n0\n1\n2\n1\n1\n1\n1\n1\n1\n1\n3\n2\n1\n4\n1\n1\n1\n0\nNONDUP\n2\n1\n1\n1\n3\n1\n1\n1\n1\n1\n1\n1\n2\n1\n3\n1\n2\n2\n2\n1\n1\n2\n1\n1\n1\n0\n3\n2\n1\n4\n2\n1\n1\n1\n1\n1\n1\n23\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000 000 000\n000\nNumber of ship reports per hour (UTC) for 1 Dec. 1986 (US: summary results for matching U/V and FNOC/NMC/GWC. all call signs)\n22\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n21\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n111\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n20\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n19\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n18\n000\n000\n000\n000\n111\n111\n110\n000\n111\n000\n000\n000\n111\n000\n000\n000\n000\n111\n111\n000\n111\n111\n000\n000\n000\n000\n000\n000\n000\n000\n000\n111\n000\n111\n000\n000\n111\n17\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nsigns\n16\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n15\n000\n000\n000\n000\ncall\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nAutodin\n14\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000 000 000\n000 000 000\n211 000 000\n111 000 000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n13\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nindicates\n12\n000\n000\n000\n000\nX100\n111\n000\n000\n000\n000\n000\n111\n111\n111\n000\n111\n000\n211\n000\n000\n000\n000\n111\n111\n011\n111\n000\n111\n110\n111\n111\n000\n11\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000\n000\n000\n000\n000\n000\n000\nX\n10\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n9\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n(right-digit\n8\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n7\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n101\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n6\n000\n000\nX100\n000\n000\n000\n000\n222\n222\n000\n000\n000\n111\n000\n000\n000\n000\n000\n111\n111\n000\n111\n000\n000\n000\n000\n000\n111\n111\n000\n000\n000\nGWC\n(middle-digit)\n5\n000\n000\n000 000 000\n000 000 000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000 000 000\n000\n000 000 000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n4\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n3\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n2\n000\n010 000 000\n111 000 000\n000 000 000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000 000 000\n000 000 000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nNMC\n000\n1\n101\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n(left-digit)\n000\nX100\n000\n000\n000\n000\n000\n000\n000\n000\n111\n000\n111\n111\n000\n000\n000\n111\n000\n000\n000\n111\n000\n111\n111\nX100\n000\n111\n000\nHour=\nF12.\nCALL SIGN\nTable\nKMAR4\nKULAA\nFNOC\nKAAV\nKACF\nKAEG\nKAWD\nKAXP\nKBGA\nKCDJ\nKCSA\nKEDA\nKFDZ\nKGBE\nKGBQ\nKGJX\nKGSM\nKIBJ\nKIBK\nKIGR\nKIHD\nKIRH\nKNBD\nKNCX\nKNDM\nKNEJ\nKNJA\nKNLO\nKOOE\nKPCV\nKPGL\nKPIV\nKPJC\nKRHL\nKRJG\nKRPW\nKSFJ","3\n0\n0\n2\n2\n2\n2\n3\nRPTS\nFNOC NMC GWC\n2\n3\n3\n2\n0\n2\n2\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n2\n1\n1\n1\n1\n2\n3\n2\n2\n2\n2\n3\n0\n2\n2\n2\n2\n0\n2\n3\n1\n1\n1\n3\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\nNONDUP\n2\n3\n0\n3\n2\n2\n2\n3\n0\n0\n2\n2\n2\n2\n2\n2\n2\n3\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n23\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n22\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n21\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n20\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n19\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n18\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n111\n111\n111\n011\n111\n111\n111\n111\n111\n111\nX101\n111\n111\n111\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n101\n17\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n111\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n16\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n15\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n1986\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n14\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n13\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nDec.\n000\n000\n010\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n12\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n010\n111\n111\n111\n111\n111\n1\nfor\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n11\n(UTC)\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n10\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nhour\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n9\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nper\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n8\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nreports\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n7\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n310\n000\n000\n000\n000\n020\n6\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n101\n211\nX111\nX111\n111\n111\n111\n111\n111\n111\n211\nship\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n5\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nof\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n4\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\nNumber\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n3\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n111\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n2\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n(continued)\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n1\n000\n000\n010\n000\n000\n000\nX000\n100\n000\n000\n000\n0\n000\n000\n000\n000\n110\n000\n000\n000\n000\n111\n111\n111\n311\n211\n111\n111\n111\n211\n111\n111\n111\n111\n111\n111\nHour=\nF12\nCALL SIGN\nWE4810\nWFJ476\nWL3108\nWL3972\nWQZ779\nWNRDF\nTable\nWDVD\nWDZW\nWECB\nWEWW\nWJBG\nWJGO\nWFPJ\nWGJF\nWGJW\nWGKF\nWGZK\nWHMK\nWHNG\nWHRN\nWHTR\nWIBK\nWLCV\nWLDP\nWLDT\nWLDW\nWLVD\nWMFW\nWOVS\nWPGE\nWPGJ\nWPHZ\nWPJR\nWPKB\nWPW","RPT\nFNOC NMC GW\n14\n13\n19\n16\n16\n% of\n% of\n% of\n1\n2\n3\n1\n1\n2\nNONDUP\n28\n26\n39\n14\n19\n0\n201\n59\n106\n109\n5\n48\n5\n1039\n190\n337\n319\n43\n119\n27\n3403\n0\n0\n0\n0\n2\n23\n000\n000\n000\n000\n000\n23\n0\n0\n1\n23\n0\n0\n0\n1\n23\n1\n0\n1\n23\n0\n0\n1\n1\n23\n1\n9\n0\n23\n0\n0\n1\n9\n22\n000\n000\n000\n000\n000\n22\n0\n0\n0\n22\n0\n0\n0\n0\n22\n0\n0\n0\n22\n0\n0\n0\n0\n22\n1\n3\n22\n1\n0\n0\n5\n1\n000\n21\n000\n000\n000\n000\n0\n0\n0\n21\n21\n0\n0\n0\n3\n21\n0\n0\n0\n0\n21\n0\n0\n4\n21\n1\n0\n3\n0\n21\n0\n1\n56\n20\n000\n000\n000\n000\n000\n20\n0\n0\n0\n20\n0\n0\n0\n0\n20\n0\n0\n0\n20\n0\n0\n0\n0\n20\n0\n0\n20\n1\n0\n0\n0\n1\nAutodin had 98 (5 SHIP; all others Nxxx except as listed above) total reports, with ~86 (88%) unique.\n19\n000\n000\n000\n000\n000\n19\n0\n0\n0\n19\n0\n0\n0\n0\n19\n1\n0\n0\n19\n0\n0\n0\n3\n19\n0\n1\n0\n19\n0\n0\n0\n4\n18\n000\n000\n000\n000\n011\n18\n3\n5\n4\n18\n3\n0\n0\n48\n18\n12\n9\n22\n18\n0\n0\n227\n18\n11\n36\n42\n54\n18\n9\n26\n6\n693\n17\n000\n000\n000\n000\n000\n17\n0\n0\n17\n1\n0\n0\n0\n2\n17\n0\n1\n0\n17\n0\n0\n0\n1\n17\n0\n3\n0\n17\n0\n0\n0\n6\n16\n000\n000\n000\n000\n000\n16\n0\n0\n0\n16\n0\n0\n0\n0\n16\n0\n0\n0\n16\n0\n0\n0\n2\n16\n0\n1\n0\n16\n0\n0\n0\n4\nNumber of MAX reports missing for 1607 call signs (179 greater than 4 characters)\n15\n000\n000\n000\n000\n000\n15\n0\n0\n0\n15\n0\n0\n0\n2\n15\n0\n0\n15\n0\n1\n0\n0\n16\n15\n0\n0\n4\n15\n0\n0\n0\n72\nNumber of MAX reports missing for 119 call signs (22 greater than 4 characters)\nNumber of MAX reports missing for 503 call signs (18 greater than 4 characters)\n1986\ncharacters)\n14\n000\n000\n000\n000\n000\n14\n0\n0\n0\n14\n0\n0\n0\n0\n14\n0\n0\n1\n14\n0\n0\n0\n1\n14\n0\n1\n0\n14\n0\n0\n0\n3\ncharacters)\ncharacters)\n13\n000\n000\n000\n000\n000\n13\n0\n0\n0\n13\nDec.\n0\n0\n0\n0\n13\n0\n1\n13\n0\n0\n13\n1\n1\n2\n0\n13\n1\n0\n0\n1\n3\n12\n010\n000\n010\n000\n000\n12\n13\n3\n13\n12\n2\n9\n0\n50\n12\n15\n16\n35\n12\n12\n1\n265\n1\n12\n56\n57\n92\n12\n8\n36\n6\n784\n1\nfor\n4\n4\n4\nthan\n11\n000\n000\n000\n000\n000\n0\n0\n11\n0\n11\n0\n0\n0\n0\n0\n0\n11\n1\n0\n0\n11\n0\n3\n0\n11\n4\n0\n0\n0\n0\n8\nSummary results for US call signs (beginning with K, N, or w)\n11\n(UTC)\nthan\nthan\nSummary of results for 2-way comparisons by exact/4-character\ncall sign agreement; number of unique reports as a percentage\nMAX\n3376\n3284\n3360\n10\n000\n000\n000\n000\n000\n10\n0\n0\n0\n10\n0\n0\n0\n0\n10\n1\n0\n0\n10\n0\n0\n0\n10\n1\n1\n2\n0\ngreater\n10\n0\n0\n0\n4\n4-char: % of MAX\ngreater\ngreater\nhour\n9\n000\n000\n000\n000\n000\n9\n0\n0\n0\n9\n0\n0\n0\n2\n9\n0\n0\n0\n9\n0\n0\n0\n1\n9\n3\n1\n1\n9\n0\n0\n0\n74\nSummary results for call signs beginning with U or V :\n5%\n2%\n9%\n2)\nper\n(179\n8\n000\n000\n000\n000\n000\n8\n0\n0\n0\n8\n0\n0\n0\n0\n8\n0\n0\n0\n8\n0\n0\n0\n0\n8\n0\n2\n0\n8\n0\n0\n0\n2\n(22\n(18\nreports\n7\n000\n000\n000\n000\n000\n7\n0\n0\n1\n7\n0\n0\n0\n1\n7\n0\n0\n0\n7\n0\n0\n0\n0\n7\n0\n0\n1\nsigns\n7\n0\n0\n0\n2\n9%\n6%\n8%\nsigns\nsigns\n1)\n6\n000\n010\n010\n010\n6\n111\n8\n7\n13\n6\n4\n7\n0\n43\n6\n10\n24\n6\n51\n3\n9\n247\n1\n6\n33\n93\n78\n6\n13\n24\n3\n771\nship\ncall\ncall\ncall\nSummary of results for all call signs:\nMAX\n3435\n3582\n3656\nExact: % of MAX\n5\n000\n000\n000\n000\n000\n5\n0\n0\n0\n5\n0\n0\n0\n0\n5\n0\n0\n0\n5\n0\n0\n0\n0\n5\n0\n2\n1\n5\n1\n0\n0\n4\n1607\nof\n119\n503\n4\n000\n000\n000\n000\n000\n4\n0\n0\n0\n4\n0\n0\n0\n0\n4\n0\n0\n0\n4\n0\n0\n0\n0\n4\n2\n0\n1\n4\n0\n0\n2\n1\n5%\n9%\n15%\nNumber\n2)\nfor\nfor\nfor\n3\n000\n000\n000\n000\n000\n3\n0\n0\n0\n3\n0\n0\n0\n2\n3\n2\n0\n2\n3\n0\n2\n0\n14\n3\n10\n2\n7\n3\n0\n5\n0\n78\nreports\nreports\nreports\n10%\n14%\n16%\n2\n000\n000\n000\n000\n000\n1)\n2\n0\n0\n0\n2\n0\n0\n0\n0\n2\n0\n0\n0\n2\n0\n0\n0\n0\n2\n0\n3\n0\n2\n0\n(continued)\n0\n0\n3\n1\n000\n000\n000\n000\n000\n0\n0\n1\n1\n0\n0\n0\n1\n1\n0\n1\n0\n1\n0\n0\n0\n2\n1\n0\n4\n1\n0\n0\n0\n1\n0\n6\n1) FNOC vs 2) NMC\nGWC\nGWC\nunique\nunique\nunique\n0\n000\n000\n010\n000\n111\n0\n4\n7\n9\n0\n5\n3\n0\n46\n0\n16\n24\n25\n0\n250\n1\n14\n1\n0\n45\n102\n78\n0\n12\n27\n8\n809\nComparison of\n2)\n2)\nHour=\n1) FNOC vs\nHour=\nvs\nof\nHour=\nHour=\nof\nHour=\nHour=\nof\nHour=\nF12\nCALL SIGN\nNumber\nNumber\nNumber\nWZE492\nFNOC =\nNMC\nWZC351\nNMC =\nGWC =\nWZC451\nWZE771\nFNOC =\n=\nGWC =\nMAX =\nof MAX:\nFNOC =\nNMC -\n=\nFNOC =\n=\n=\n=\nFNOC =\n=\n=\nFNOC =\n=\n=\n=\nTable\nWZJA\nNMC\nGWC\nNMC\nGWC\nMAX\nNMC\nGWC\nNMC\nGWC\nMAX\n1)","0002\n2000M\noooom\nrooom\nGOOOM\n+000M\n-OOOM\nGOOOM\nrooom\n212","RPTS\nFNOC NMC GWC\n4\n6\n6\n5\n8\n8\n6\n9\n10\n6\n10\n1\n12\n2\n13\n10\n12\n8\n11\n11\n11\n7\n4\n5\n3\n4\n4\n6\n6\n5\n4\n17\n17\n16\n18\n10\n13\n9\n0\n0\n7\n7\n7\n8\n10\n9\n14\n8\n11\n12\n13\n3\n1\n15\n14\n14\n13\n14\n12\n0\n8\n2\n8\n5\n5\n6\n6\n6\n7\n6\n10\n12\n12\nNONDUP\n11\n7\n13\n10\n7\n0\n8\n8\n7\n8\n10\n8\n11\n10\n11\n10\n3\n1\n11\n12\n11\n12\n13\n13\n12\n0\n9\n4\n10\n6\n6\n8\n7\n8\n9\n8\n9\n12\n10\n12\n7\n10\n9\n10\n23\n000\n000\n002\n001\n000\n000\n000\n110\n001\n011\n000\n000\n000\n000\n110\n000\n000\n110\n110\n110\n001 000 000\n000 001 001\n000 110 001\n110 110 001\n110 110 002\n110 110 001\n000 110 001\n110 000 001\n001\n002\n001\n001\n001\n002\n001\n001\n001\n000\n000\n22\n000\n110\n110\n110\n110\n010\n111\n101\n001\n111\n000\n001\n000\n000\n000\n001\n001\n001\n001\n001\n110\n110\n110\n130\n330\n211\n211\n000\n111\n001\n000\n001\n000\n000\n000\n21\n110\n000\n110\n110\n000\n111\n121\n121\n000\n110\n121\n121\n121\n121\n121\n121\n121\n110\n110\n110\n000\n001\n000\n001\n001\n000\n011\n111\n121\n20\n000\n000\n000\n000\n000\n000\n000\n110\n110\n000\n110\n000\n110\n000\n110\n120\n110\n110\n110\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n341\n000\n460\n000\n110\n110\n000\n110\n19\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n100\n000\n000\n000\n441\n000\n230\n000\n000\n000\n000\n000\n000\n18\n000\n000\n000\n000\n110\n110\n000\n000\n221\n111\n000\n111\n111\n111\n221\n221\n221\n111\n111\n111\n001\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n011\n000\n011\n001\n000\n111\n001\n111\n17\n000\n110\n110\n000\n000 000 110\n000\n100 110 000\n010 111 010\n120 111 000\n000 110 000\n000 111 010\n001 000 000\n110 111 010\n000 000 000\n010\n110 111 010\n000 111 010\n000\n000 111 010\n000 111 000\n000\n110\n000\n000\n010\n000\n110\n000\n000\n000\n000\n000\n322\n000\n120\n331\n010\n000\n100\n010\n16\n000\n000\n000\n000\n110\n111\n000\n000\n111\n000\n000\n100\n000\n000\n000\n000\n000\n000\n000\n001\n001\n001\n001\n000\n221\n111\n111\n15\n000\n100\n100\n100\n100\n010\n000\n100\n100\n001\n100\n101\n100\n101\n001\n101\n101\n101\n681\n001\n581\n001\n001\n000\n000\n200\n000\n14\n001\n000\n001\n000\n001\n001\n001\n110\n000\n000\n110\n000\n000\n001\n000\n111\n110\n110\n111\n110\n000\n000\n000\n000\n001\n000\n000\n000\n001\n000\n000\n110\n111\n110\n111\n000\n111\n110\n000\n110\nTable F14. Number of drifting buoy reports per hour (UTC) for 1 Dec. 1986.\n13\n001\n111\n001\n011\n000\n000\n111\n000\n111\n111\n001\n110\n110\n000\n110\n000\n110\n000\n000\n000\n000\n110\n000\n111\n110\n001\n111\n111\n110\n110\n110\n002\n232\n113\n110\n000\n000\n231\n111\n000\n12\n000\n000\n000\n000\n000\n000\n000\n001\n001\n001\n000\n000\n000\n000\n000\n001\n001\n001\n000\n001\n001\n000\n000\n001\n000\n000\n000\n000\n000\n000\n000\n000\n001\n111\n001\n001\n000\n001\n220\n000\n000\n110\n11\n111\n111\n110\n111\n111\n000\n000\n110\n000\n000\n000\n000\n001\n000\n000\n000\n000\n000\n000\n000 000 110\n000 110 001\n111\n000 110 111\n001 110 001\n110 000 111\n001 110 111\n001 110 001\n002\n000\n002\n001 110 001\n001\n000\n001\n001\n000\n000\n000\n10\n000\n000\n110\n110\n000\n000\n000\n000\n001\n002\n001\n000\n001\n001\n000\n002\n000\n001\n001\n001\n001\n110\n110\n352\n000\n340\n120\n130\n001\n001\n100\n001\n9\n000\n000\n000\n000\n000\n110\n110\n110\n110\n110\n000\n000\n000\n110\n000\nFNOC (left-digit) NMC (middle-digit) GWC (right-digit)\n110\n110\n110\n110\n110\n001\n001\n000\n001\n000\n001\n121\n001\n131\n110\n120\n000\n8\n000\n000\n002 000 000\n001\n000\n000\n111 000 001\n000\n001\n111\n000\n001\n000\n011\n001\n001\n001 000 000\n111\n111\n001\n001\n000\n110\n001\n000\n110\n000\n110\n110\n110\n110\n000\n001 342 000\n241\n141\n110 110 000\n001\n111 110 001\n110 111 001\n110 111 001\n7\n000\n000\n000\n000\n000\n111\n000\n001\n001\n000\n111\n101\n000\n000\n000\n000\n111\n111\n001\n001\n111\n111\n000\n000\n000\n000\n000\n000\n442\n001\n001\n001\n6\n000\n002\n002\n110\n110\n000\n110\n000\n000\n111\n110\n111\n110\n110\n110\n111\n000\n001\n001\n000\n000\n000\n000\n001\n000\n000\n002\n001\n001\n001\n5\n000\n000\n000\n110 001 110 000\n000 001 111 000\n001 111 000\n001 111 000\n000 110 110\n000 110 011\n000 110 121\n000\n000 111 011\n000\n011\n011\n011\n000\n011\n121\n121\n121\n111\n001 000 000\n000\n000 000 000\n000 000 000\n000 110 000\n001 000 000\n001 000 000\n001 110 000\n000 110 000\n342 121 001\n001 001 553\n452 001 002\n002 000 353\n001 000 221\n220 000 110\n001 111 011\n000 110 011\n000 111 011\n4\n000\n111\n111\n000\n221\n000\n221\n111\n221\n111\n111\n110\n000\n110\n111\n3\n000\n001\n001\n000\n000\n000\n000\n001\n000\n001\n000\n000\n000\n000\n001\n2\n000\n110\n001\n110\n110\n120\n120\n000\n120\n000\n120\n000 110 000\n111 000 110\n111 010 110\n120\n120\n000\n111\n210\n100\n121\n100\n000\n000\n100\n000 110 000\n100\n100\n100\n221\n220 320 221\n001 210 232\n000 110 110\n220 120 221\n111 000 120\n110\n000\n120\n000\n000\n000\n1\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n000\n110\n000\n000\n000\n000\n000\n000\n0\n002\n000\n110\n110\n110\n000\n001\n001\n111\n000\n111\n110\n111\n111\n111\n001\n000\n000\n000\n001\n000\n000\n000\n110\n000\n000\n001\n110\n111\nHour=\nCALL SIGN\n/2997\n11803\n11801\n11804\n11805\n14802\n15502\n15804\n15809\n17802\n14801\n15501\n17803\n17804\n17806\n17807\n17808\n17809\n17810\n17812\n21002\n23522\n23802\n23803\n23806\n23807\n23808\n23810\n23813\n23811\n23814\n25522\n25521\n25523\n25524\n25525\n25892\n25894\n31804\n26521","5\n7\n15\n12\n20\n13\n12\n6\n3\n5\n6\n7\n4\n6\n9\n12\n11\n9\n4\n8\n9\n8\n3\n3\n3\n18\n5\n23 NONDUP RPTS\nGWC\n12\n12\n13\n9\n15\n6\n11\n11\n7\n6\n7\n3\n8\n9\n12\n10\n9\nNMC\n5\n6\n8\n6\n6\n2\n4\n8\n5\n12\n15\n15\n14\n14\n14\n8\n17\n8\n6\n12\n12\n12\n0\n8\n7\n7\n9\n7\n8\n3\n8\n12\n10\n9\n11\nFNOC\n12\n13\n16\n14\n13\n13\n9\n16\n9\n9\n13\n13\n9\n13\n9\n10\n12\n9\n8\n3\n4\n8\n11\n11\n11\n10\n112\n000 000 000\n110\n000\n110\n110\n000\n000\n000\n123\n002\n000\n002\n110\n110\n111\n111\n111\n111\n111\n111\n111\n111\n111\n221\n001\n001\n001\n111\n100\n100\n100\n000\n000\n000\n110\n111\n001\n001\n001\n001\n101\n110\n001\n001\n22\n002\n000\n000\n110\n000\n112\n110\n112\n001\n101\n101\n101\n101\n001\n001\n001\n001\n001\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n001\n001\n111\n110\n110\n110\n000\n110\n002\n000\n000\n000\n001\n001\n001\n21\n111\n111\n221\n121\n221\n000\n100\n100\n000\n100\n000\n000\n000\n000\n000\n000\n000\n000\n000\n20\n110\n110\n110\n000\n110\n110\n000\n110\n110\n100\n120\n262\n000\n000\n241\n201\n121\n101\n101\n101\n101\n000\n110\n110\n110\n110\n110\n000\n000\n000\n000\n000\n000\n000\n110\n110\n110\n000\n000\n232\n100\n110\n110\n19\n110\n110\n110\n110\n000\n000\n000\n110\n011\n001\n111\n111\n111\n000\n010\n010\n010\n010\n010\n010\n010\n000\n000\n000\n000\n000\n110\n110\n001\n111\n111\n000\n000\n000\n000\n000\n18\n110\n000\n111\n111\n221\n111\n111\n121\n111\n231\n101\n001\n100\n000\n000\n000\n120\n120\n000\n110\n000\n000\n000\n000\n000\n000\n130\n220\n200\n100\n100\n101\n101\n101\n101\n101\n101\n17\n000\n000\n000\n010\n000\n000\n000 110 000\n010\n331\n101\n1986.\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n110\n001\n001\n111\n111\n111\n16\n110\n001\n001\n001\n111\n111\n221\n111\n111\n121\n100\n100\n000\n000\n000\n000\n000\n000\n110\n000\n000\n000\n000\n240\n140\n360\n202\n000\n15\n000\n010\n100\n100\n000\n000\n100\n001\n001\n101\n101\n101\n201\n101\n201\n001\nDec.\n000\n000\n110\n000\n000\n000\n000\n000\n000\n100\n100\n100\n100\n000\n000\n000\n001\n001\n101\n111\n111\n101\n111\n111\n14\n110\n110\n000\n110\n001\n001\n001\n1\n111\n111\n101\n111\nfor\n110\n000\n000\n002\n000\n000\n000\n000\n000\n000\n110\n002\n110\n110\n111\n111\n001\n111\n001\n001\n001\n001\n13\n000\n000\n111\n111\n001\n001\n001\n111\n001\n001\n001\n101\n111\n(UTC)\n010\n010\n010\n010\n000\n000\n110\n110\n110\n110\n000\n110\n110\n110\n000\n001\n110\n110\n100\n12\n000\n000\n110\n000\n231\n111\n221\n111\n111\n111\n111\n341\n001\n001\n001\n001\nhour\n000\n000\n000\n000\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n110\n001\n001\n001\n111\n001\n001\n001\n011\n001\n11\n111\n111\n111\n110\nper\n110\n000\n000\n000\n112\n000\n000\n000\n000\n000\n110\n001\n001\n001\n000\n002\n002\n000\n000\n110\n110\n000\n000\n101\n101\n101\n001\n10\n002\n000\n000\n001\n101\n241\n001\n101\nreports\n000\n000\n000\n000\n000\n000\n000\n110\n110\n000\n000\n000\n000\n110\n000\n000\n000\n121\n110\n110\n110\n000\n110\n110\n142\n242\n142\n000\n000\n000\n001\n9\n110\n110\n110\n111\n000\n000\n110\n000\n000\n120\n120\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n240\n000\n001\n001\n001\n111\n111\n111\n8\n002 000 000\n110\n000\n001\n111\n001\nbuoy\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n001\n001\n001\n001\n001\n7\n000\n000\n111\n001\n121\n121\n101\ndrifting\n000\n110\n110\n110\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n001\n001\n001\n111\n111\n111\n6\n120\n112\n110\n220\n002\n110\n001\n001\n000\n000\n110\n000\n000\n000\n110\n110\n110\n010\n110\n111\n001\n001\n000\n000\n000\n110\n111\n111\n111\n001\n5\n000\n002 111 000\n110\n111\n100\n111\n111\n111\n001\n011\n001\n011\n011\nof\n000\n100\n110\n000\n000\n000\n002\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n001\n001\n001\n001\n001\n001\n111\n111\n4\n110\n110\n000\n001\n001\n221\n111\n111\n111\nNumber\n100\n000\n000\n100\n000\n110\n110\n110\n101\n101\n001\n101\n112\n110\n120\n100\n100\n100\n101\n101\n101\n101\n461\n101\n3\n000\n000\n112\n001\n001\n111\n101\n001\n221\n101\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n001\n011 110 110\n000 000 000\n110\n000\n000\n000\n110\n111\n111\n111\n001\n2\n110\n000\n110\n111\n001 220 111\n001\n001\n001\n111\n111\nTable F14 (continued)\n110\n000\n000\n000\n000\n000\n000\n000\n000\n110\n110\n110\n110\n110\n000\n110\n110\n110\n000\n110\n000\n010\n110\n110\n110\n110\n000\n000\n000\n000\n000\n000\n000\n1\n110\n222\n120\n000\n000\n343\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n002\n112\n112\n220\n110\n001\n111\n221\n221\n001\n001\n0\n110\n001\n101\n111\n111\nHour=\nCALL SIGN\n44638\n46677\n47502\n47503\n47505\n47508\n48538\n48545\n51510\n52805\n52806\n52807\n54803\n54810\n54812\n54813\n42504\n44506\n44510\n44602\n46664\n46665\n46676\n47601\n51511\n52801\n54811\n33803\n33807\n33809\n33813\n33814\n34807\n34808\n33811\n43501","RPTS\nFNOC NMC GWC\n6\n8\n6\n5\n9\n1\n7\n9\n7\n7\n9\n10\n1\n6\n8\n8\n9\n9\n7\n9\n8\n11\n9\n8\n6\n4\n8\n10\n9\n4\n11\n9\n5\n5\n4\n2\n6\n12\n16\n8\n10\n9\n0\n9\n10\n8\n9\n8\n8\n10\n9\n7\n8\n11\n11\n11\n9\n8\n11\n11\n9\n8\n11\n11\n4\n8\n9\n0\n0\n3\n6\n3\n4\n3\n0\n4\n9\n15\nNONDUP\n9\n10\n9\n4\n12\n10\n11\n12\n11\n11\n13\n9\n10\n9\n14\n14\n14\n12\n11\n14\n14\n12\n14\n12\n9\n4\n11\n12\n0\n0\n4\n9\n5\n5\n4\n0\n6\n12\n14\n23\n002\n111\n000\n001\n123\n000\n223\n223\n222\n221\n113\n000\n221\n003\n111\n113\n113\n223\n223\n223\n113\n113\n111\n112\n000\n111\n223\n223\n000\n000\n000\n000\n000\n000 000 000\n000\n000\n000\n000\n002\n22\n110\n110\n000\n000\n001\n000\n000\n101\n001\n001\n001\n111\n000\n111\n111\n001\n001\n001\n000\n002\n001\n000\n000\n001\n001\n001\n111\n000\n000\n000\n001\n000\n000\n000\n000\n000\n000\n112\n21\n110\n110\n110\n220\n000\n001\n110\n110\n110\n220\n110\n000\n000\n000\n110\n110\n110\n110\n110\n110\n110\n110\n110\n110\n000\n000\n110\n220\n000\n000\n001\n000\n000\n000\n000\n000\n000\n001\n20\n000\n000\n000\n000\n101\n110\n000\n000\n000\n000\n000\n000\n100\n100\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n100\n000\n000\n000\n000\n000\n000\n121\n121\n120\n121\n121\n001\n121\n121\n19\n000\n110\n110\n000\n100\n000\n100\n100\n100\n100\n100\n000\n000\n000\n100\n100\n100\n100\n100\n100\n100\n100\n100\n000\n000\n000\n100\n100\n000\n001\n000\n001\n001\n000\n001\n111\n001\n001\n011\n18\n000\n000\n000\n101\n110\n000\n221\n110\n000\n000\n110\n221\n110\n110\n110\n110\n110\n110\n000\n220\n110\n110\n110\n110\n110\n000\n000\n000\n000\n111\n000\n110\n000\n110\n000\n000\n110\n110\n321\n17\n000\n110\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n110 110 000\n000\n100 111 000\n100 111 000\n100 111 000\n101 110 000\n101 110 000\n101 111 000\n100 111 000\n101 110 000\n100 111 000\n000\n000\n000\n000\n000\n001\n000\n001\n101\n000\n101\n101\n130\n001\n101\n101\n1986.\n16\n110\n000\n000\n100\n220\n110\n110\n110\n110\n000\n110\n110\n000\n000\n000\n111\n110\n220\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n001\n15\n000\n110\nDec.\n101\n001\n101\n101\n101\n000\n101\n101\n101\n101\n001\n100\n000\n000\n000\n000\n000\n000\n000\n000\n101\n101\n000\n260\n121\n121\n121\n14\n000\n1\n001 111 000\n000 111 000\n000\n000\n001\n001\n001\n000\n001\n001\n001\n000\n001\n111\n111\n000 111 111\n000 221 001\n000 221 001\n000 221 111\n000 111 111\n001 000 000\n000 121 001\n000\n000 111 111\n000 111 011\n000\n000\n000\n001\n000\n001\n001\n001\n000\n000\n000\n001\n001\nfor\n13\n000\n220\n110\n111\n221\n121\n221\n110\n110\n000\n221\n001\n111\n111\n001\n220\n221\n000\n000\n000\n110\n000\n000\n000\n000\n000\n110\n112\n(UTC)\n12\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n000\n001\n000\n000\n000\n000\n000\n000\n000\n001\n001\n111\n000\n000\n111\n121\nhour\n11\n001 111 110\n001 110 111\n000 000 000\n000 000 000\n111 000 221\n110 000 111\n111\n110\n111\n000\n121\n111\n110\n111\n111\n110 000 111\n110 000 111\n110 000 111\n110 000 111\n110 000 111\n110 000 111\n110 000 111\n110 000 111\n111 000 110\n110 000 111\n000\n111\n000\n000\n221\n001\n001\n000\n000\n001\n001\n001\n001\nper\n10\n000\n000\n000\n000\n000\n000\n000\n000\n001\n000\n000\n000\n000\n000\n000\n100\n100\n000\n000\n000\n000\n100\n111\nreports\n9\n110\n110\n110\n110\n000\n111\n001\n110\n110\n111\n110\n111\n001\n001\n000\n000\n000\n000\n000\n000\n000\n242\n121\n8\n000\n110\n110\n000\n110\n000\n000\n000\n000\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n120\nbuoy\n7\n000\n000\n000\n000\n000\n110\n000\n000\n000\n000\n000\n110\n100\n110\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n000\n000\n000\n000\n001\n001\n111\n000\n000\n000\n000\n111\n111\ndrifting\n6\n110\n000\n001\n001\n001\n110\n000\n002\n000\n000\n110\n001\n002\n000\n002\n002\n002\n002\n000\n002\n002\n002\n002\n002\n000\n000\n002\n001\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n5\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n000\n110\n000\n110\n000\n000\n000\n000\n002 110 000\n002 111 000\n002 111 000\n000\n000\n000\n110\n000\n000\n000\n001\n000 001 001\n000 000 000\n111\n100 001 111\n100 001 111\n000 000 000\n100 001 000\n000 000 111\n121 000 110\n000 000 000\n100 001 111\nof\n4\n000\n000\n000\n000\n000\n110\n110\n110\n110\n000\n000\n110\n000\n111\n111\n110\n111\n111\n110\n111\n111\n000\n110\n001\n000\n001\n001\nNumber\n3\n002\n000\n002\n000\n002\n001\n001\n002\n002\n002\n001\n000\n000\n001\n000\n000\n102\n002\n000\n002\n000\n000\n002\n002\n002\n000\n100\n2\n110\n000\n110\n000\n110\n101\n101\n100\n100\n101\n101\n100\n001\n100\n110 110 100\n110 110 000\n111 000 001\n110 110 100\n000 110 101\n000 110 101\n110 110 100\n110 110 101\n110 110 100\n000 110 101\n111 000 001\n110 110 000\nTable F14 (continued)\n000 110 101\n000 110 101\n000 000 001\n000 000 001\n000 000 111\n000 100 011\n000 110 001\n000\n000 000 111\n000\n111\n110\n111\n001\n110\n110\n000\n1\n010\n110\n000\n110\n110\n110\n110\n110\n000\n000\n110\n000\n000\n000\n000\n000\n000\n0\n000\n000\n000\n000\n000\n110\n000\n000\n000\n000\n110\n110\n221\n110\n000\n000\n000\n000\n112\n000\nHour=\nCALL SIGN\n56816\n56817\n56818\n62591\n62616\n62601\n62609\n62615\n62611\n62619\n62621\n62626\n62630\n62634\n62636\n62638\n62639\n62645\n62648\n62661\n62667\n62671\n62672\n62682\n62690\n62692\n62702\n63005\n63503\n63510\n62711\n63515\n63001\n63530\n63536\n63551\n64511\n64512\n64521\n64524","% of MAX\n23 NONDUP RPIS\nFNOC NMC GWC\n0\n0\n0\n29%\n35%\n39%\n5%\n2%\n26%\n5\n8\n0\n785\n1042\n136\n47\n706\n2694\n951\n0\n14\n4\n010\n200\n000\n23\n36\n35\n24\n23\n34\n1\n1\n131\n22\n010\n000\n000\n22\n78\n86\n30\n22\n4\n2\n75\n129\n000\n330\n000\n22\n22\n55\n0\n20\n132\n21\n21\n21\n1\n20\n020\n200\n000\n20\n3\n17\n58\n20\n9\n2\n76\n1\n19\n000\n000\n000\n19\n10\n33\n84\n19\n25\n0\n8\n101\n18\n010\n220\n000\n18\n19\n12\n45\n18\n0\n8\n9\n120\n17\n000\n100\n000\n17\n19\n24\n50\n17\n7\n14\n5\n71\n1986\n16\n010\n000\n000\n16\n14\n15\n42\n16\n2\n13\n125\n1\n:\n15\n000\n110\n000\ncharacters)\n15\n26\n79\n42\n15\n25\n3\n23\n101\nDec\n14\n000\n000\n200\n14\n52\n37\ncharacters)\n14\n14\n0\n30\n126\n1\n31\nfor\n13\n000\n200\n100\n13\n45\n47\n13\n2\n0\n44\n138\n31\n(UTC)\n4\n12\n000\n330\n000\n12\n56\n53\n29\n12\n4\n52\n104\n1\nthan\nhour\n4\n000\n000\n000\n30\n28\n32\nthan\n0\n0\n28\n120\n11\ngreater\n11\n11\nper\nSummary of results for 2-way comparisons by exact call sign\nagreement; number of unique reports as a percentage of MAX:\n10\n000\n000\n000\n10\n47\n56\n32\n10\n5\n0\n46\n103\ngreater\nreports\n9\n000\n110\n000\n(187\n9\n65\n9\n0\n0\n120\n21\n21\n21\n8\n000\n000\n000\nsigns\n8\n29\n27\n36\n(187\n8\n0\n0\n27\n97\nbuoy\n7\n000\n000\n000\n7\n40\n44\n10\n7\n2\n0\n40\n87\nsigns\ncall\ndrifting\n6\n000\n220\n000\n6\n58\n52\n54\n6\n0\n6\n52\n130\n188\nMAX\n1988\n2647\ncall\nExact: % of MAX\n5\n000\n000\n000\n5\n45\n32\n23\n5\n2\n2\n29\n94\nSummary results for all call signs:\nfor\n188\nof\n4%\n4\n000\n000\n000\n4\n28\n29\n45\n4\n0\n28\n129\n28%\n1\nmissing\nNumber\n2)\nfor\n3\n000\n330\n000\n3\n46\n83\n37\n3\n16\n0\n46\n131\nreports\n12%\n38%\n1)\n2\n000\n200\n100\nreports\n2\n46\n55\n2\n16\n0\n20\n122\n.\n21\nTable F14 (continued)\n000\n100\n000\n5\n2\n96\n2\n5\n0\n96\n1) FNOC vs 2) NMC\nGWC\n1\n1\n1\nunique\n0\n000\n330\n200\nMAX\n0\n56\n56\n30\n0\n0\n54\n1\n111\nComparison of\n1) FNOC vs 2)\nHour=\nHour=\nof\nHour=\nof\nCALL SIGN\nNumber\nNumber\n999999\nFNOC =\n=\n=\nFNOC =\nNMC =\n=\n=\nDRIBU\nBUOY\nNMC\nGWC\nGWC\nMAX"]}