NOAA Atlas NESDIS 43

WORLD OCEAN DATABASE 2001
Volume 2: Temporal Distribution of Bathythermograph Profiles

Timothy P. Boyer
Margarita E. Conkright
John I. Antonov
Olga K. Baranova
Hernan E. Garcia
Robert Gelfeld
Daphne Johnson
Ricardo A. Locarnini
Paulette Murphy
Todd D. O’Brien
Igor Smolyar
Cathy Stephens

Editor: Sydney Levitus

National Oceanographic Data Center
Ocean Climate Laboratory

Silver Spring, MD
March 2002

U.S. DEPARTMENT OF COMMERCE
Donald L. Evans, Secretary

National Oceanic and Atmospheric Administration
Vice Admiral Conrad C. Lautenbacher, Jr., USN (Ret.), Under Secretary

National Environmental Satellite, Data, and Information Service
Gregory W. Withee, Assistant Administrator
National Oceanographic Data Center

Additional copies of this publication, as well as information about NODC data holdings, and services, are available on request directly from NODC. NODC information and data are also available over the Internet through the NODC World Wide Web site.

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For updates on the data, documentation and additional information about WOD01 please refer to:

http://www.nodc.noaa.gov

click on:    Ocean Climate Laboratory
click on:    Products

This publication should be cited as:

T. P. Boyer, M. E. Conkright, J. I. Antono v, O. Baranova, H. E. Garcia, R. Gelfeld, D. Johnson, R. A. Locarnini, P. P. Murphy, T. D. O'Brien, I. Smolyar, C. Stephens, 2002: World Ocean Database 2001, Volume 2: Temporal Distribution of Bathythermograph Profiles. S. Levitus, Ed., NOAA Atlas NESDIS 43, U.S. Government Printing Office, Wash., D.C., 119 pp., CD-ROMs.
Contents

Preface ................................................................. viii

Acknowledgments .......................................................... ix

Chapter 1   Temporal Distribution of Mechanical Bathythermograph Profiles ............. 1
Abstract ............................................................................. 1
1. Introduction .................................................................... 1
2. MBT accuracy .................................................................. 2
3. MBT profile distributions ............................................... 2
4. Bibliography ................................................................... 3
5. Appendix A: Distributions for individual years of all MBT profiles in WOD01 .......... 14

Chapter 2   Temporal Distribution of Expendable Bathythermograph Profiles ............ 71
1. Introduction .................................................................... 71
2. The XBT drop rate error .................................................. 71
3. XBT profile distributions ............................................... 71
4. Bibliography ................................................................... 81
5. Appendix B: Distributions for individual years of all XBT profiles in WOD01 .......... 83
LIST OF TABLES

Table 1.    Comparison of observations taken with mechanical bathythermographs and reversing thermometers reproduced from Leipper and Burt (1948).

Table 2.    National contributions of Mechanical Bathythermograph (MBT) profiles sorted by percent contribution of each country.

Table 3.    The number of MBT profiles in WOD01 as a function of year for the World Ocean.
Table 4.    The number of MBT profiles in WOD01 as a function of year for the southern hemisphere.
Table 5.    The number of MBT profiles in WOD01 as a function of year for the northern hemisphere.

Table 6.    National contributions of Expendable Bathymeterograph (XBT) profiles sorted by percent contribution of each country.

Table 7.    The number of XBT profiles in WOD01 as a function of year for the World Ocean.
Table 8.    The number of XBT profiles in WOD01 as a function of year for the southern hemisphere.
Table 9.    The number of XBT profiles in WOD01 as a function of year for the northern hemisphere.
LIST OF FIGURES

Fig. 1      Time series of MBT profiles in WOD01 for the world ocean as a function of year.
Fig. 2      Time series of MBT profiles in WOD01 for the southern hemisphere as a function of year.
Fig. 3      Time series of MBT profiles in WOD01 for the northern hemisphere as a function of year.
Fig. 4      Distribution of all profiles in the MBT files of WOD01.

Fig. 5      Time series of XBT profiles in WOD01 for the world ocean as a function of year.
Fig. 6      Time series of XBT profiles in WOD01 for the southern hemisphere as a function of year.
Fig. 7      Time series of XBT profiles in WOD01 for the northern hemisphere as a function of year.
Fig. 8      Distribution of all profiles in the XBT files of WOD01.

APPENDIX A

Fig. A1      WOD01 MBT profile distribution for 1941.
Fig. A2      WOD01 MBT profile distribution for 1942.
Fig. A3      WOD01 MBT profile distribution for 1943.
Fig. A4      WOD01 MBT profile distribution for 1944.
Fig. A5      WOD01 MBT profile distribution for 1945.
Fig. A6      WOD01 MBT profile distribution for 1946.
Fig. A7      WOD01 MBT profile distribution for 1947.
Fig. A8      WOD01 MBT profile distribution for 1948.
Fig. A9      WOD01 MBT profile distribution for 1949.

Fig. A10     WOD01 MBT profile distribution for 1950.
Fig. A11     WOD01 MBT profile distribution for 1951.
Fig. A12     WOD01 MBT profile distribution for 1952.
Fig. A13     WOD01 MBT profile distribution for 1953.
Fig. A14     WOD01 MBT profile distribution for 1954.
Fig. A15     WOD01 MBT profile distribution for 1955.
Fig. A16     WOD01 MBT profile distribution for 1956.
Fig. A17     WOD01 MBT profile distribution for 1957.
Fig. A18     WOD01 MBT profile distribution for 1958.
Fig. A19     WOD01 MBT profile distribution for 1959.

Fig. A20     WOD01 MBT profile distribution for 1960.
Fig. A21     WOD01 MBT profile distribution for 1961.
Fig. A22     WOD01 MBT profile distribution for 1962.
Fig. A23     WOD01 MBT profile distribution for 1963.
Fig. A24     WOD01 MBT profile distribution for 1964.
Fig. A25     WOD01 MBT profile distribution for 1965.
Fig. A26     WOD01 MBT profile distribution for 1966.
Fig. A27     WOD01 MBT profile distribution for 1967.
Fig. A28     WOD01 MBT profile distribution for 1968.
Fig. A29     WOD01 MBT profile distribution for 1969.

Fig. A30     WOD01 MBT profile distribution for 1970.
Fig. A31     WOD01 MBT profile distribution for 1971.
Fig. A32     WOD01 MBT profile distribution for 1972.
Fig. A33     WOD01 MBT profile distribution for 1973.
Fig. A34     WOD01 MBT profile distribution for 1974.
Fig. A35     WOD01 MBT profile distribution for 1975.
Fig. A36     WOD01 MBT profile distribution for 1976.
Fig. A37     WOD01 MBT profile distribution for 1977.
Fig. A38     WOD01 MBT profile distribution for 1978.
Fig. A39     WOD01 MBT profile distribution for 1979.
Fig. A40    WOD01 MBT profile distribution for 1980.
Fig. A41    WOD01 MBT profile distribution for 1981.
Fig. A42    WOD01 MBT profile distribution for 1982.
Fig. A43    WOD01 MBT profile distribution for 1983.
Fig. A44    WOD01 MBT profile distribution for 1984.
Fig. A45    WOD01 MBT profile distribution for 1985.
Fig. A46    WOD01 MBT profile distribution for 1986.
Fig. A47    WOD01 MBT profile distribution for 1987.
Fig. A48    WOD01 MBT profile distribution for 1988.
Fig. A49    WOD01 MBT profile distribution for 1989.

Fig. A50    WOD01 MBT profile distribution for 1990.
Fig. A51    WOD01 MBT profile distribution for 1991.
Fig. A52    WOD01 MBT profile distribution for 1992.
Fig. A53    WOD01 MBT profile distribution for 1993.
Fig. A54    WOD01 MBT profile distribution for 1994.
Fig. A55    WOD01 MBT profile distribution for 1995.
Fig. A56    WOD01 MBT profile distribution for 1996.
Fig. A57    WOD01 MBT profile distribution for 1997.
Fig. A58    WOD01 MBT profile distribution for 1998.
Fig. A59    WOD01 MBT profile distribution for 1999.

APPENDIX B

Fig. B1    WOD01 XBT profile distribution for 1966.
Fig. B2    WOD01 XBT profile distribution for 1967.
Fig. B3    WOD01 XBT profile distribution for 1968.
Fig. B4    WOD01 XBT profile distribution for 1969.

Fig. B5    WOD01 XBT profile distribution for 1970.
Fig. B6    WOD01 XBT profile distribution for 1971.
Fig. B7    WOD01 XBT profile distribution for 1972.
Fig. B8    WOD01 XBT profile distribution for 1973.
Fig. B9    WOD01 XBT profile distribution for 1974.
Fig. B10   WOD01 XBT profile distribution for 1975.
Fig. B11   WOD01 XBT profile distribution for 1976.
Fig. B12   WOD01 XBT profile distribution for 1977.
Fig. B13   WOD01 XBT profile distribution for 1978.
Fig. B14   WOD01 XBT profile distribution for 1979.
Fig. B15   WOD01 XBT profile distribution for 1980.
Fig. B16   WOD01 XBT profile distribution for 1981.
Fig. B17   WOD01 XBT profile distribution for 1982.
Fig. B18   WOD01 XBT profile distribution for 1983.
Fig. B19   WOD01 XBT profile distribution for 1984.
Fig. B20   WOD01 XBT profile distribution for 1985.
Fig. B21   WOD01 XBT profile distribution for 1986.
Fig. B22   WOD01 XBT profile distribution for 1987.
Fig. B23   WOD01 XBT profile distribution for 1988.
Fig. B24   WOD01 XBT profile distribution for 1989.

Fig. B25   WOD01 XBT profile distribution for 1990.
Fig. B26   WOD01 XBT profile distribution for 1991.
Fig. B27   WOD01 XBT profile distribution for 1992.
Fig. B28   WOD01 XBT profile distribution for 1993.
Fig. B29   WOD01 XBT profile distribution for 1994.
Fig. B30   WOD01 XBT profile distribution for 1995.
Fig. B31   WOD01 XBT profile distribution for 1996.
Fig. B32    WOD01 XBT profile distribution for 1997.
Fig. B33    WOD01 XBT profile distribution for 1998.
Fig. B34    WOD01 XBT profile distribution for 1999.

Fig. B35    WOD01 XBT profile distribution for 2000.
Fig. B36    WOD01 XBT profile distribution for 2001.
PREFACE

The oceanographic databases described by this atlas series greatly expands on the World Ocean Database 1998 (WOD98) product. We have expanded these earlier databases to include data from new instrument types such as profiling floats and new variables such as pCO₂ and TCO₂. Previous oceanographic databases including the NODC/WDC profile archives, and products derived from these databases, have proven to be of great utility to the international oceanographic, climate research, and operational environmental forecasting communities. In particular, the objectively analyzed fields of temperature and salinity derived from these databases have been used in a variety of ways. These include use as boundary and/or initial conditions in numerical ocean circulation models, for verification of numerical simulations of the ocean, as a form of "sea truth" for satellite measurements such as altimetric observations of sea surface height, and for planning oceanographic expeditions. Increasingly nutrient fields are being used to initialize and/or verify biogeochemical models of the world ocean. The databases, and products based on these databases, are critical for support of international assessment programs such as the Intergovernmental Program on Climate Change (IPCC) of the United Nations.

It is well known that the amount of carbon dioxide in the earth's atmosphere will most likely double during the next century compared to CO₂ levels that occurred at the beginning of the Industrial Revolution. Regardless of one's scientific and/or political view of a possible "enhanced greenhouse warming" due to the increase of carbon dioxide, it is necessary that the international scientific community have access to the most complete historical oceanographic databases possible in order to study this problem, as well as other scientific and environmental problems.

The production of oceanographic databases is a major undertaking. Such work benefits from the input of many individuals and organizations. We have tried to structure the data sets in such a way as to encourage feedback from experts around the world who have knowledge that can improve the data and metadata contents of the database. It is only with such feedback that high quality global ocean databases can be prepared. Just as with scientific theories and numerical models of the ocean and atmosphere, the development of global ocean databases is not carried out in one giant step, but proceeds in an incremental fashion.

In the acknowledgment section of this publication we have expressed our view that creation of global ocean databases is only possible through the cooperation of scientists, data managers, and scientific administrators throughout the international community. I thank my colleagues at the Ocean Climate Laboratory of NODC for their dedication to the project leading to publication of this atlas series. Their commitment has made this database possible. It is my belief that the development and management of national and international oceanographic data archives is best performed by scientists who are actively working with the data.

Sydney Levitus
National Oceanographic Data Center/World Data Center for Oceanography- Silver Spring
Silver Spring, MD
March 2002
Acknowledgments

This work was made possible by a grant from the NOAA Climate and Global Change Program which enabled the establishment of a research group, the Ocean Climate Laboratory (OCL), at the National Oceanographic Data Center. The purpose of the OCL is to prepare research quality oceanographic databases, as well as to compute objective analyses of, and diagnostic studies based on, these databases.

The data made available as part of this atlas include a part of the oceanographic data archives maintained by NODC/WDC as well as data acquired as a result of the IODE/IOC “Global Oceanographic Data Archaeology and Rescue” (GODAR) project. At NODC/WDC, “data archaeology and rescue” projects are supported with funding from the NOAA Environmental Science Data and Information Management (ESDIM) Program and NOAA Climate and Global Change Program. The majority of funding for these efforts is now provided by the ESDIM program. Support for this work from joint NASA/NOAA and DOE/NOAA Global Change data management programs is appreciated. Support for some of the regional IOC/GODAR meetings was provided by the MAST program of the European Union.

We acknowledge the scientists, technicians, and programmers who have submitted data to national and regional data centers as well as the managers and staff at the various data centers. Our database allows for the storage of metadata including information about Principal Investigators to recognize their efforts.

The OCL expresses thanks to those who provided comments and helped develop an improved World Ocean Database 2001 (WOD01) product. In particular, Dr. Steve Worley of NCAR, and Steve Hankin of PMEL for testing the CD-ROMs prior to distribution. Roy Lowry (BODC) and Tom Whitworth (TAMU) for suggestions. Any errors in WOD01 are the responsibility of the Ocean Climate Laboratory.

Ervin Godfrey Trammell and Charlotte Sazama of the NODC International Data Exchange Team helped locate data in the WDC archives for digitization. We thank Mike Chepurin, Igor Minin, Dan Smolyar, Alexandra Grodsky, and Carla Forgy of the OCL for their work in data digitization and their assistance in quality control of the data and metadata in WOD01. Renee Tatusko identified many missing metadata. The OCL acknowledges the help received over the last several years from colleagues in other NODC divisions. Francis Mitchell helped with all the code lists and accessions, Melanie Hamilton supplied GTSPP data.

Declassification of naval oceanographic data by various navies is acknowledged. The Intergovernmental Oceanographic Commission has requested such declassification efforts in recent years.
World Ocean Database 2001, Volume 2: Temporal Distribution of Bathythermograph Profiles

T. P. Boyer, M. E. Conkright, J. I. Antonov, O. Baranova, H. Garcia, R. Gelfeld, D. Johnson, R. A. Locarnini, P. P. Murphy, T. D. O'Brien, I. Smolyar, C. Stephens

Ocean Climate Laboratory
National Oceanographic Data Center / NOAA
Silver Spring, MD

ABSTRACT

This atlas describes a collection of scientifically quality controlled ocean Mechanical Bathythermograph (MBT) and Expendable Bathythermograph (XBT) profiles. Data distributions for individual years of all MBT and XBT profiles in the database are presented to provide information on the state of ocean MBT and XBT profile observations.

Chapter 1: Temporal Distribution of Mechanical Bathythermograph Profiles

1. INTRODUCTION

The Mechanical Bathythermograph (MBT) is an instrument developed during the late-1930's (Spilhaus, 1938) that can be dropped from either a stationary or moving ship to produce an upper ocean temperature profile. This instrument was a substantial improvement of an instrument known as the “oceanograph” which was designed by Dr. Carl Rossby and Dr. Karl Lange (Rossby and Montgomery, 1934) for the purpose of studying the upper ocean thermal structure. The introduction of the MBT into usage allowed ships to make synoptic surveys of oceanographic regions and for discovery of fine structure of the ocean’s thermal structure. Spilhaus (1941) used the instrument to identify “fine” structure (in the horizontal) from temperature profiles near the edge of the Gulf Stream. Pressure is determined from a pressure sensitive tube known as a Bourdon tube. A temperature sensitive element in the nose of the MBT enables the instrument to trace temperature as a function of depth.

Different versions of the MBT have different maximum depth ranges with 295 m being the deepest depth measured from any U.S. version. Earlier versions of the instrument were limited to making measurements in the upper 140 m of the water column. A review of the development of the MBT is given by Spilhaus (1987). Another more comprehensive review is provided by Couper and LaFond (1970).

The Digital Bathythermograph (DBT) instrument is a version of the MBT that reports data electronically rather than mechanically and may reach depths deeper than 295 m. DBT profiles are included in the MBT files.
2. MBT ACCURACY

The accuracy of the MBT has been the subject of several studies. Leipper and Burt (1948) report the results of comparisons between MBT temperature measurements and near simultaneous reversing thermometer measurements which were made by D. Pritchard of the U.S. Navy Electronics Laboratory in Lake Meade. By comparing the temperature traces on the up and down casts of the MBT it was inferred that there was “an almost complete absence of internal waves of large amplitude and short period, hysteresis of the instruments, or rapid temperature changes due to advection”. These results are reproduced in Table 1 given below. Clearly there is good agreement between the reversing thermometer measurements (which typically had an accuracy of 0.02\(^\circ\)C at this period of time and the MBT measurements. However, there is a problem with interpreting the results from Table 1 because it is not clearly stated in the table or the text of the technical report of Leipper and Burt, what temperature units were used. Throughout their report, Leipper and Burt use the Fahrenheit scale. If this scale applies to the results in Table 1, then the agreement is impressive. If the results are in degrees centigrade, the agreement is less impressive but the data are still useful for many scientific purposes. Other studies attribute an accuracy of about 0.5 \(^\circ\)F to the MBT instrument (This figure is comparable to the accuracy of Expendable Bathymeterograph (XBT) probes for which the thermistor sensing element is not calibrated (Tabata, 1978)). Although both MBT and XBT probes are an order of magnitude less precise than reversing thermometers, the standard error of the mean of any estimate based on these temperature measurements decreases with the increase in number of data used. This applies to random errors. Hence, historical bathythermograph measurements provide valuable information when estimating mean features for by averaging over many measurements in space and/or time.

In many countries and institutions the use of the MBT has been replaced by the XBT but in other countries and institutes MBT measurements continue to be made and transferred to oceanographic data centers.

3. MBT PROFILE DISTRIBUTIONS

Figure 1 shows the number of MBT profiles contained in WOD01 for the World Ocean as a function of year. Figures 2 and 3 show the time series for the northern and southern hemispheres respectively. There are a total of 2,376,206 MBT profiles for the entire World Ocean with 264,648 profiles (11.1%) measured in the southern hemisphere and 2,111,558 profiles (88.9%) measured in the northern hemisphere. Table 1 provides the exact number of MBT profiles included in WOD01 as a function of year. Substantial numbers of MBT profiles were made by the U.S. Navy during World War II. All the WWII Pacific and Indian Ocean MBT profiles were digitized during the past several years as part of the NODC Data Archaeology and Rescue (NODAR) project with support from the NOAA CGC (Climate and Global Change) program and the NOAA ESDIM (Environmental Sciences and Information Management program). These data have been stored at the Scripps Institute of Oceanography. A more complete description of the data in this archive can be found in the report by Levitus et al. (1998). The geographic distribution of MBT profiles for individual years for 1941-1994 are shown in Figures A1-A54. Most profiles have been made in the northern hemisphere, but the southern hemisphere coverage has been increased due to international data archaeology and rescue efforts and the World Ocean Database project (Levitus et al. 1994, 2002).
4. BIBLIOGRAPHY

Bralove, A.L., E.I Williams, Jr., 1952: A study of the errors of the bathythermograph, Final Report National Scientific Laboratories Inc., Contract No. NObsr 52348, 49 pp.

Cascviano, D.L., 1967: Calibration Monitoring of Mechanical Bathythermographs, GMT, Dec./Jan. 1966/67, 19-21.

Couper, B.K., and E.C. LaFond, 1970: Mechanical Bathythermograph: An Historical Review, in Advances in Instrumentation, Paper 735-70, Instrument Society of America, 25, Part 3, pp 735-70.

Dinkel, C.R. and M. Stawnychy, 1973: Reliability Study of Mechanical Bathythermographs, Marine Technology Soc. Journ., 7(3),41-47.

Hazelworth, J.B., 1966: Quantitative analysis of some bathythermograph errors, Tech. Rept ASWEPS No.11, U.S. Naval Oceanographic Office, pp. 27.

IOC, 1975: Guide to oceanographic and marine meteorological instruments and observing practices. UNESCO, Paris,5 pp. and 12 chapters.

Leipper, D.F. and R.M. Adams, 1952: Some methods used in representing bathythermograph data. The A. & M. College of Texas, Dept. of Oceanogr. Tech. Rept. 1, 6 pp., 9 figs.

Leipper, D.F., R.M. Adams and Project staff , 1952: Summary of North Atlantic Weather Station Bathythermograph data 1946-1950, The A. & M. College of Texas, Dept of Oceanogr. Tech. Rept. 3, 2 pp., 40 figs.

Leipper, D.F. and Project staff , 1954: Summary of North Pacific Weather Station Bathythermograph data 1943-1952, The A. & M. College of Texas, Dept of Oceanogr. Tech. Rept. 7, 2 pp., 64 figs.

Leipper, D. F. and W.V. Burt, 1948: Annual Report, 1947-48 Bathythermograph Processing Unit. Scripps Institute of Oceanography, Oceanogr. Rep. No. 15, Scripps Institute ofOceanography, La Jolla, CA, 78 pp.

Levitus, S., R. Gelfeld, T. Boyer, and D. Johnson, 1994: Results of the NODC and IOC Data Archaeology and Rescue projects. Key to Oceanographic Records Documentation No. 19, National Oceanographic Data Center, Washington, D.C., 67 pp.

Levitus, S., M. Conkright Gregg, T.P. Boyer, R. Gelfeld, L. Stathoplos, D. Johnson, I. Smolyar, C. Stephens, G. Trammell, R. Moffatt, T. O'Brien, 1998: Results of the IOC Global Oceanographic Data Archaeology and Rescue (GODAR) project. NOAA NESDIS Technical Report.

NODC, 1966: Atlas of bathythermograph data, Indian Ocean. U.S. Naval Oceanographic Office, NODC Publication G6, 129 pp.

Robinson, M.K. and E.M. Drollinger, 1969: Bibliography of reports based on bathythermograph temperature data, SIO Reference Series 69-16, pp. 104.

Rossby, C-G. and R. B. Montgomery, 1934: The layer of frictional influence in wind and ocean currents, in “Papers in Physical Oceanography and Meteorology of the Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, Vol. III, No. 3, pp. 73.

Smed, J., 1978: Inventory of Oceanographic Investigations at North Atlantic Ocean Weather Stations 1947-1962. ICES, Charlottenlund, Denmark, 63 pp.

Spilhaus, A.F., 1938: A bathythermograph. J. Mar. Res., 1, 95-100.

Spilhaus, A. F., 1941: Fine structures on the edge of the Gulf Stream. Trans. Amer. Geophys. Union, 22, 478-484
Spilhaus, A.F., 1987: On Reaching 50: An Early History of the Bathythermograph, Sea Technology, 28,19-28.

Stewart, R.L., 1963: Test and Evaluation of the Mechanical Bathythermograph, Unpublished manuscript, Marine Sciences Department, U.S. Naval Oceanographic Office, 33 pp.

Tabata, S., 1978: Comparison of observations of sea surface temperatures at Ocean Weather Station P and NOAA Buoy Stations and those made by merchant ships traveling in their vicinities, in the Northeast Pacific Ocean. J. Appl. Meteor., 17, 374-385.

U.S. Naval Oceanographic Office, 1968: Instruction Manual for Obtaining Oceanographic Data, Pub. 607, Sup. of Documents, Washington, D.C.

U.S. Weather Bureau, 1956: Ocean Station Vessel Meteorological Records Survey: Atlantic and Pacific. U.S. Gov. printing Office, U.S. Gov. Printing Office, Washington, D.C., 106 pp.

Vine, A.C., 1952: Oceanographic Instruments for Measuring Temperature, in Symposium on Oceanographic Instrumentation, Rancho Santa Fe, California.
Table 1.    Comparison of observations taken with Mechanical Bathythermographs and reversing thermometers reproduced from Leipper and Burt (1948).

<table>
  <tr>
    <th colspan="4">TABLE I<br>OBSERVATIONS TAKEN WITH BATHYTHERMOGRAPHS AND REVERSING THERMOMETERS</th>
  </tr>
  <tr>
    <th>BT</th>
    <th>No. of stations</th>
    <th>No. of thermometer observations</th>
    <th>Standard Deviation of Temperature Differences*</th>
  </tr>
  <tr>
    <td># 1784A (Shallow)</td>
    <td>9</td>
    <td>20</td>
    <td>0.15</td>
  </tr>
  <tr>
    <td># 1258A (Deep)</td>
    <td>10</td>
    <td>41</td>
    <td>0.19</td>
  </tr>
  <tr>
    <td># 514A (Deep)</td>
    <td>12</td>
    <td>36</td>
    <td>0.10</td>
  </tr>
</table>

*We reproduce this table as it appeared in the work by Leipper and Burt (1948). Unfortunately, they did not specify whether the units of temperature were reported in degrees centigrade or Fahrenheit. However, all other citations of temperature in their report were given in units of degrees Fahrenheit. Even if these results are in units of degrees centigrade, the agreement is still good. For example, individual XBT probes are accurate to a few tenths of a degree Centigrade.
Table 2  National contributions of Mechanical Bathythermograph (MBT) profiles sorted by percent contribution of each country

<table>
  <tr>
    <th>NODC</th>
    <th>Country Name</th>
    <th>MBT Count</th>
    <th>% of Total</th>
  </tr>
  <tr><td>31</td><td>UNITED STATES</td><td>1100903</td><td>46.31</td></tr>
  <tr><td>90</td><td>RUSSIA</td><td>432966</td><td>18.21</td></tr>
  <tr><td>49</td><td>JAPAN</td><td>335247</td><td>14.10</td></tr>
  <tr><td>18</td><td>CANADA</td><td>195947</td><td>8.24</td></tr>
  <tr><td>74</td><td>UNITED KINGDOM</td><td>118644</td><td>4.99</td></tr>
  <tr><td>32</td><td>UNITED STATES</td><td>46660</td><td>1.96</td></tr>
  <tr><td>6</td><td>GERMANY, FEDERAL REPUBLIC OF</td><td>25005</td><td>1.05</td></tr>
  <tr><td>33</td><td>UNITED STATES</td><td>23103</td><td>0.97</td></tr>
  <tr><td>9</td><td>AUSTRALIA</td><td>18474</td><td>0.78</td></tr>
  <tr><td>99</td><td>UNKNOWN</td><td>16636</td><td>0.70</td></tr>
  <tr><td>35</td><td>FRANCE</td><td>13538</td><td>0.57</td></tr>
  <tr><td>8</td><td>ARGENTINA</td><td>12303</td><td>0.52</td></tr>
  <tr><td>64</td><td>NETHERLANDS</td><td>8088</td><td>0.34</td></tr>
  <tr><td>48</td><td>ITALY</td><td>6268</td><td>0.26</td></tr>
  <tr><td>65</td><td>PERU</td><td>5212</td><td>0.22</td></tr>
  <tr><td>20</td><td>CHILE</td><td>4161</td><td>0.18</td></tr>
  <tr><td>68</td><td>PORTUGAL</td><td>2628</td><td>0.11</td></tr>
  <tr><td>61</td><td>NEW ZEALAND</td><td>2435</td><td>0.10</td></tr>
  <tr><td>RC</td><td>CONGO</td><td>1234</td><td>0.05</td></tr>
  <tr><td>11</td><td>BELGIUM</td><td>1218</td><td>0.05</td></tr>
  <tr><td>58</td><td>NORWAY</td><td>913</td><td>0.04</td></tr>
  <tr><td>28</td><td>ECUADOR</td><td>885</td><td>0.04</td></tr>
  <tr><td>24</td><td>KOREA, REPUBLIC OF</td><td>847</td><td>0.04</td></tr>
  <tr><td>22</td><td>COLOMBIA</td><td>747</td><td>0.03</td></tr>
  <tr><td>93</td><td>VENEZUELA</td><td>673</td><td>0.03</td></tr>
  <tr><td>41</td><td>INDIA</td><td>540</td><td>0.02</td></tr>
  <tr><td>55</td><td>MALAGASY REPUBLIC</td><td>405</td><td>0.02</td></tr>
  <tr><td>36</td><td>GREECE</td><td>327</td><td>0.01</td></tr>
  <tr><td>SE</td><td>SENEGAL</td><td>245</td><td>0.01</td></tr>
  <tr><td>29</td><td>SPAIN</td><td>195</td><td>0.01</td></tr>
  <tr><td>SL</td><td>SIERRA LEONE</td><td>187</td><td>0.01</td></tr>
  <tr><td>1C</td><td>IVORY COAST</td><td>100</td><td>0.00</td></tr>
  <tr><td>MO</td><td>MONACO</td><td>97</td><td>0.00</td></tr>
  <tr><td>NI</td><td>NIGERIA</td><td>89</td><td>0.00</td></tr>
  <tr><td>14</td><td>BRAZIL</td><td>82</td><td>0.00</td></tr>
  <tr><td>86</td><td>THAILAND</td><td>77</td><td>0.00</td></tr>
  <tr><td>91</td><td>SOUTH AFRICA</td><td>20</td><td>0.00</td></tr>
  <tr><td>GH</td><td>GHANA</td><td>12</td><td>0.00</td></tr>
</table>

The United States, Russia, and Japan have multiple country codes. This is because the NODC Institution Code is limited to two digits and these countries each have more than 99 institutions that can potentially transfer data to NODC/WDC.
Table 3    The number of all MBT profiles in WOD01 as a function of year for the World Ocean.

Total Number of Profiles = 2,376,206

<table>
  <tr>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
  </tr>
  <tr><td>1941</td><td>10154</td><td>1956</td><td>50666</td><td>1971</td><td>40974</td><td>1986</td><td>44478</td></tr>
  <tr><td>1942</td><td>7014</td><td>1957</td><td>60580</td><td>1972</td><td>43558</td><td>1987</td><td>40704</td></tr>
  <tr><td>1943</td><td>17767</td><td>1958</td><td>70159</td><td>1973</td><td>34112</td><td>1988</td><td>34877</td></tr>
  <tr><td>1944</td><td>36902</td><td>1959</td><td>65526</td><td>1974</td><td>35133</td><td>1989</td><td>21223</td></tr>
  <tr><td>1945</td><td>41127</td><td>1960</td><td>72367</td><td>1975</td><td>27446</td><td>1990</td><td>18703</td></tr>
  <tr><td>1946</td><td>23823</td><td>1961</td><td>77009</td><td>1976</td><td>33564</td><td>1991</td><td>8348</td></tr>
  <tr><td>1947</td><td>28826</td><td>1962</td><td>85559</td><td>1977</td><td>34214</td><td>1992</td><td>3832</td></tr>
  <tr><td>1948</td><td>30364</td><td>1963</td><td>91652</td><td>1978</td><td>35750</td><td>1993</td><td>3676</td></tr>
  <tr><td>1949</td><td>36058</td><td>1964</td><td>89173</td><td>1979</td><td>39695</td><td>1994</td><td>81</td></tr>
  <tr><td>1950</td><td>50364</td><td>1965</td><td>97277</td><td>1980</td><td>31128</td><td>1995</td><td>10</td></tr>
  <tr><td>1951</td><td>50296</td><td>1966</td><td>106984</td><td>1981</td><td>26671</td><td>1996</td><td>0</td></tr>
  <tr><td>1952</td><td>61351</td><td>1967</td><td>94321</td><td>1982</td><td>23704</td><td>1997</td><td>0</td></tr>
  <tr><td>1953</td><td>59352</td><td>1968</td><td>75460</td><td>1983</td><td>25224</td><td>1998</td><td>0</td></tr>
  <tr><td>1954</td><td>52966</td><td>1969</td><td>60796</td><td>1984</td><td>39829</td><td>1999</td><td>5</td></tr>
  <tr><td>1955</td><td>45560</td><td>1970</td><td>44918</td><td>1984</td><td>35616</td><td></td><td></td></tr>
</table>
Table 4    The number of all MBT profiles in WOD01 as a function of year for the southern hemisphere.

Total Number of Profiles = 264,648

<table>
  <tr>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
  </tr>
  <tr><td>1941</td><td>10</td><td>1956</td><td>4306</td><td>1971</td><td>6362</td><td>1986</td><td>6007</td></tr>
  <tr><td>1942</td><td>1384</td><td>1957</td><td>8468</td><td>1972</td><td>6522</td><td>1987</td><td>6409</td></tr>
  <tr><td>1943</td><td>2568</td><td>1958</td><td>10700</td><td>1973</td><td>6169</td><td>1988</td><td>3654</td></tr>
  <tr><td>1944</td><td>3389</td><td>1959</td><td>9195</td><td>1974</td><td>4839</td><td>1989</td><td>2661</td></tr>
  <tr><td>1945</td><td>1007</td><td>1960</td><td>9994</td><td>1975</td><td>2487</td><td>1990</td><td>1353</td></tr>
  <tr><td>1946</td><td>914</td><td>1961</td><td>6945</td><td>1976</td><td>5104</td><td>1991</td><td>434</td></tr>
  <tr><td>1947</td><td>2169</td><td>1962</td><td>9447</td><td>1977</td><td>6985</td><td>1992</td><td>116</td></tr>
  <tr><td>1948</td><td>143</td><td>1963</td><td>11417</td><td>1978</td><td>5986</td><td>1993</td><td>172</td></tr>
  <tr><td>1949</td><td>550</td><td>1964</td><td>9935</td><td>1979</td><td>6857</td><td></td><td></td></tr>
  <tr><td>1950</td><td>287</td><td>1965</td><td>10383</td><td>1980</td><td>5916</td><td></td><td></td></tr>
  <tr><td>1951</td><td>469</td><td>1966</td><td>10695</td><td>1981</td><td>4665</td><td></td><td></td></tr>
  <tr><td>1952</td><td>2764</td><td>1967</td><td>13940</td><td>1982</td><td>4172</td><td></td><td></td></tr>
  <tr><td>1953</td><td>886</td><td>1968</td><td>10810</td><td>1983</td><td>4911</td><td></td><td></td></tr>
  <tr><td>1954</td><td>1057</td><td>1969</td><td>5901</td><td>1984</td><td>8200</td><td></td><td></td></tr>
  <tr><td>1955</td><td>2978</td><td>1970</td><td>5956</td><td>1984</td><td>6000</td><td></td><td></td></tr>
</table>
Table 5    The number of all MBT profiles in WOD01 as a function of year for the northern hemisphere.

Total Number of Profiles = 2,111,558

<table>
  <tr>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
  </tr>
  <tr><td>1941</td><td>10144</td><td>1956</td><td>45760</td><td>1971</td><td>34612</td><td>1986</td><td>38471</td></tr>
  <tr><td>1942</td><td>5630</td><td>1957</td><td>52112</td><td>1972</td><td>37036</td><td>1987</td><td>34295</td></tr>
  <tr><td>1943</td><td>15199</td><td>1958</td><td>59459</td><td>1973</td><td>27943</td><td>1988</td><td>31223</td></tr>
  <tr><td>1944</td><td>33513</td><td>1959</td><td>56331</td><td>1974</td><td>30294</td><td>1989</td><td>18562</td></tr>
  <tr><td>1945</td><td>40120</td><td>1960</td><td>62373</td><td>1975</td><td>24959</td><td>1990</td><td>17350</td></tr>
  <tr><td>1946</td><td>22909</td><td>1961</td><td>70064</td><td>1976</td><td>28460</td><td>1991</td><td>7914</td></tr>
  <tr><td>1947</td><td>26657</td><td>1962</td><td>76112</td><td>1977</td><td>27229</td><td>1992</td><td>3716</td></tr>
  <tr><td>1948</td><td>30191</td><td>1963</td><td>80145</td><td>1978</td><td>29764</td><td>1993</td><td>3504</td></tr>
  <tr><td>1949</td><td>35508</td><td>1964</td><td>79238</td><td>1979</td><td>32838</td><td>1994</td><td>81</td></tr>
  <tr><td>1950</td><td>50077</td><td>1965</td><td>86894</td><td>1980</td><td>25212</td><td>1995</td><td>10</td></tr>
  <tr><td>1951</td><td>49827</td><td>1966</td><td>96289</td><td>1981</td><td>22006</td><td>1996</td><td>0</td></tr>
  <tr><td>1952</td><td>58587</td><td>1967</td><td>80381</td><td>1982</td><td>19532</td><td>1997</td><td>0</td></tr>
  <tr><td>1953</td><td>58466</td><td>1968</td><td>64650</td><td>1983</td><td>20313</td><td>1998</td><td>0</td></tr>
  <tr><td>1954</td><td>51909</td><td>1969</td><td>54895</td><td>1984</td><td>31629</td><td>1999</td><td>5</td></tr>
  <tr><td>1955</td><td>42582</td><td>1970</td><td>38962</td><td>1984</td><td>29616</td><td></td><td></td></tr>
</table>
![Time series bar chart showing the number of MBT profiles in WOD01 for the world ocean as a function of year, with a peak around 1965 and a total of 2,376,206 profiles.](page_184_120_1680_1200.png)

Fig. 1    Time series of MBT profiles in WOD01 for the world ocean as a function of year.
Fig. 2    Time series of MBT profiles in WOD01 for the southern hemisphere as a function of year.

![Time series bar chart showing the number of MBT profiles in WOD01 for the southern hemisphere as a function of year, with a total of 264,648 profiles. The x-axis represents years from 41 to 01, and the y-axis represents the number of profiles from 0 to 110,000.](page_172_120_1696_1342.png)
![Time series bar chart showing the number of MBT profiles in WOD01 for the northern hemisphere as a function of year. The y-axis is labeled 'NUMBER OF PROFILES' (log scale), and the x-axis is labeled 'YEAR'. The total number of profiles is indicated as 2,111,558.](page_172_120_1696_1342.png)

Fig. 3    Time series of MBT profiles in WOD01 for the northern hemisphere as a function of year.
Fig. 4 Distribution of all profiles in the MBT files of WOD01.
Dots show location of 1-degree squares containing any data.

![World map showing distribution of all profiles in the MBT files of WOD01. Dots represent locations of 1-degree squares containing any data.](page_128_120_1792_1342.png)
5. APPENDIX A: DISTRIBUTIONS FOR INDIVIDUAL YEARS OF ALL MBT PROFILES IN WOD01

This appendix contains yearly data distributions of all MBT profile data contained in WOD01. These maps provide some history of the observational progress of the field of oceanography. They also serve as indicators of whether or not a particular data set from a scientist or institution is part of the NODC/WDC archive. The exchange of information provided by the publication of such maps has provided us with valuable information about deficiencies in the database. The locations of all WOD01 MBT profiles are plotted including profiles that may be erroneously located over land. However, WOD01 contains some profiles from various lakes so care should be exercised in the use of these profiles and the determination as to whether they represent errors in locations.

For all figures in Appendix A, a small dot indicates a one-degree square containing from one to four profiles and a large dot indicates five or more profiles.
Fig. A1  WOD01 MBT profile distribution for year 1941 .
Fig. A2  WOD01 MBT profile distribution for year 1942 .
Fig. A3  WOD01 MBT profile distribution for year 1943 .
Fig. A4  WOD01 MBT profile distribution for year 1944 .
Fig. A5  WOD01 MBT profile distribution for year 1945 .
Fig. A6  WOD01 MBT profile distribution for year 1946 .
Fig. A7  WOD01 MBT profile distribution for year 1947 .
Fig. A8  WOD01 MBT profile distribution for year 1948 .
Fig. A9  WOD01 MBT profile distribution for year 1949 .
Fig. A10  WOD01 MBT profile distribution for year 1950 .
Fig. A11  WOD01 MBT profile distribution for year 1951 .
Fig. A12  WOD01 MBT profile distribution for year 1952 .
Fig. A13  WOD01 MBT profile distribution for year 1953 .
Fig. A14  WOD01 MBT profile distribution for year 1954 .
Fig. A15  WOD01 MBT profile distribution for year 1955 .
Fig. A16  WOD01 MBT profile distribution for year 1956 .
Fig. A17  WOD01 MBT profile distribution for year 1957 .
Fig. A18  WOD01 MBT profile distribution for year 1958 .
Fig. A19  WOD01 MBT profile distribution for year 1959 .
Fig. A20  WOD01 MBT profile distribution for year 1960 .
Fig. A21  WOD01 MBT profile distribution for year 1961 .
Fig. A22  WOD01 MBT profile distribution for year 1962 .
Fig. A23  WOD01 MBT profile distribution for year 1963 .
Fig. A24  WOD01 MBT profile distribution for year 1964 .
Fig. A25  WOD01 MBT profile distribution for year 1965 .
Fig. A26  WOD01 MBT profile distribution for year 1966 .
Fig. A27  WOD01 MBT profile distribution for year 1967 .
Fig. A28  WOD01 MBT profile distribution for year 1968 .
Fig. A29  WOD01 MBT profile distribution for year 1969 .
Fig. A30  WOD01 MBT profile distribution for year 1970 .
Fig. A31  WOD01 MBT profile distribution for year 1971 .
Fig. A32  WOD01 MBT profile distribution for year 1972 .
Fig. A33  WOD01 MBT profile distribution for year 1973 .
Fig. A34  WOD01 MBT profile distribution for year 1974 .
Fig. A35  WOD01 MBT profile distribution for year 1975 .
Fig. A36  WOD01 MBT profile distribution for year 1976 .
Fig. A37  WOD01 MBT profile distribution for year 1977 .
Fig. A38  WOD01 MBT profile distribution for year 1978 .
Fig. A39  WOD01 MBT profile distribution for year 1979 .
Fig. A40  WOD01 MBT profile distribution for year 1980 .
Fig. A41  WOD01 MBT profile distribution for year 1981 .
Fig. A42  WOD01 MBT profile distribution for year 1982 .
Fig. A43  WOD01 MBT profile distribution for year 1983 .
Fig. A44  WOD01 MBT profile distribution for year 1984 .
Fig. A45  WOD01 MBT profile distribution for year 1985 .
Fig. A46  WOD01 MBT profile distribution for year 1986 .
Fig. A47  WOD01 MBT profile distribution for year 1987 .
Fig. A48  WOD01 MBT profile distribution for year 1988 .
Fig. A49  WOD01 MBT profile distribution for year 1989 .
Fig. A50  WOD01 MBT profile distribution for year 1990 .
Fig. A51  WOD01 MBT profile distribution for year 1991 .
Fig. A52  WOD01 MBT profile distribution for year 1992 .
Fig. A53  WOD01 MBT profile distribution for year 1993 .
Fig. A54  WOD01 MBT profile distribution for year 1994 .
Fig. A55  WOD01 MBT profile distribution for year 1995 .
Fig. A56  WOD01 MBT profile distribution for year 1999 .
Chapter 2: Temporal Distribution of Expendable Bathythermograph Profiles

1. INTRODUCTION

The Expendable Bathythermograph (XBT) was deployed beginning in 1966 and has replaced the MBT in many measurement programs. There are different models of XBT instruments which have different maximum depth penetration and/or other different characteristics. The T-4, T-6, and T-7 probes reach maximum depths of 450, 750, and 750 m respectively. The T-7 probe differs from the T-6 probe in that it can be dropped from a faster moving ship and still maintain certain accuracy standards. The T-5 probe reaches a maximum depth of about 1800 m.

The depth of a temperature measurement from an XBT instrument is determined using the time elapsed between when the probe enters the water and the time each temperature measurement is made. A vendor supplied drop-rate equation is utilized. However, the vendor supplied drop-rate equation for T-4, T-6, and T-7 probes was found to have a systematic error and a new equation has been developed by the international research community (Hanawa et al., 1995; UNESCO, 1994). The recommended practice regarding exchange and archiving of XBT profiles is that XBT profile data be exchanged or sent to data centers without correction for the systematic depth error, until an “international mechanism is established to implement the general use of the new equation” (UNESCO, 1994). This policy is to avoid double corrections.

2. The XBT drop rate error

The XBT instrument does not measure pressure or depth directly. Depth of the instrument is computed from the elapsed time from when the probe enters the water through use of a drop-rate equation. There are several models of the Sippican Expendable Bathythermograph instrument. The manufacturer’s drop rate equation for the T4, T-6, and T-7 models are known to contain a systematic error. To correct for this error a new drop rate equation has been computed (Hanawa et al., 1995; UNESCO, 1994). By international agreement (UNESCO, 1994), XBT profile depths are supposed to be reported and archived using depths computed from the “old” drop-rate equation. This policy is to avoid possible confusion as to whether the profiles have been converted or not so as to avoid double conversion. NODC/WDC archives the XBT data as submitted. The observed level XBT profiles are the same data as submitted by originators. However, in preparing standard level data for WOD98, the NODC/OCL corrected the depths of the originator’s XBT profiles using the new drop-rate equation before interpolating to standard levels.

3. XBT PROFILE DISTRIBUTIONS

Figure 1 shows the number of XBT profiles contained in WOD01 for the World Ocean as a function of year. Figures 2 and 3 show the time series for the northern and southern hemispheres respectively. There are a total of 1,743,592 XBT profiles for the entire World Ocean with 312,290 profiles (17.9%) measured in the southern hemisphere and 1,431,300 profiles (82.1%) measured in the northern hemisphere. Table 1 provides the exact number of XBT profiles included in WOD01 as a function of year. The geographic distribution of XBT profiles for individual years for 1966-2001 are shown in Figures B1-B36. Most profiles have been made in the northern hemisphere, but the southern hemisphere coverage has been increased due to international data archaeology and rescue efforts and the World Ocean Database project (Levitus et al. 1994, 2002).
Table 6  National contributions of (XBT) profiles sorted by percent contribution of each country.

<table>
  <tr>
    <th>NODC</th>
    <th>Country</th>
    <th>XBT</th>
    <th>% of</th>
  </tr>
  <tr>
    <th>Country Name</th>
    <th></th>
    <th>Count</th>
    <th>Total</th>
  </tr>
  <tr><td>31</td><td>UNITED STATES</td><td>548779</td><td>31.47</td></tr>
  <tr><td>32</td><td>UNITED STATES</td><td>248328</td><td>14.24</td></tr>
  <tr><td>49</td><td>JAPAN</td><td>236424</td><td>13.56</td></tr>
  <tr><td>74</td><td>UNITED KINGDOM</td><td>164948</td><td>9.46</td></tr>
  <tr><td>99</td><td>UNKNOWN</td><td>96321</td><td>5.52</td></tr>
  <tr><td>9</td><td>AUSTRALIA</td><td>83155</td><td>4.77</td></tr>
  <tr><td>6</td><td>GERMANY, FEDERAL REPUBLIC OF</td><td>56544</td><td>3.24</td></tr>
  <tr><td>18</td><td>CANADA</td><td>48664</td><td>2.79</td></tr>
  <tr><td>35</td><td>FRANCE</td><td>45690</td><td>2.62</td></tr>
  <tr><td>54</td><td>LIBERIA</td><td>33290</td><td>1.91</td></tr>
  <tr><td>PA</td><td>PANAMA</td><td>32697</td><td>1.88</td></tr>
  <tr><td>64</td><td>NETHERLANDS</td><td>15294</td><td>0.88</td></tr>
  <tr><td>90</td><td>RUSSIA</td><td>14578</td><td>0.84</td></tr>
  <tr><td>S1</td><td>SINGAPORE</td><td>14565</td><td>0.84</td></tr>
  <tr><td>BH</td><td>BAHAMAS</td><td>9713</td><td>0.56</td></tr>
  <tr><td>33</td><td>UNITED STATES</td><td>8874</td><td>0.51</td></tr>
  <tr><td>AG</td><td>ANTIGUA</td><td>6975</td><td>0.40</td></tr>
  <tr><td>58</td><td>NORWAY</td><td>6908</td><td>0.40</td></tr>
  <tr><td>91</td><td>SOUTH AFRICA</td><td>5890</td><td>0.34</td></tr>
  <tr><td>26</td><td>DENMARK</td><td>5724</td><td>0.33</td></tr>
  <tr><td>SV</td><td>SAINT VINCENT</td><td>5598</td><td>0.32</td></tr>
  <tr><td>61</td><td>NEW ZEALAND</td><td>5587</td><td>0.32</td></tr>
  <tr><td>76</td><td>CHINA, THE PEOPLES REPUBLIC OF</td><td>4568</td><td>0.26</td></tr>
  <tr><td>77</td><td>SWEDEN</td><td>4552</td><td>0.26</td></tr>
  <tr><td>46</td><td>ICELAND</td><td>4348</td><td>0.25</td></tr>
  <tr><td>HK</td><td>HONG KONG</td><td>3210</td><td>0.18</td></tr>
  <tr><td>29</td><td>SPAIN</td><td>2995</td><td>0.17</td></tr>
  <tr><td>BA</td><td>BARBADOS</td><td>2601</td><td>0.15</td></tr>
  <tr><td>20</td><td>CHILE</td><td>2438</td><td>0.14</td></tr>
  <tr><td>TN</td><td>TONGA</td><td>2328</td><td>0.13</td></tr>
  <tr><td>66</td><td>PHILIPPINES</td><td>2298</td><td>0.13</td></tr>
  <tr><td>CY</td><td>CYPRUS</td><td>2258</td><td>0.13</td></tr>
  <tr><td>57</td><td>MEXICO</td><td>2234</td><td>0.13</td></tr>
  <tr><td>8</td><td>ARGENTINA</td><td>2184</td><td>0.13</td></tr>
  <tr><td>KU</td><td>KUWAIT</td><td>1812</td><td>0.10</td></tr>
  <tr><td>67</td><td>POLAND</td><td>1320</td><td>0.08</td></tr>
  <tr><td>42</td><td>INDONESIA</td><td>1214</td><td>0.07</td></tr>
  <tr><td>FJ</td><td>FJI ISLANDS</td><td>866</td><td>0.05</td></tr>
  <tr><td>48</td><td>ITALY</td><td>772</td><td>0.04</td></tr>
  <tr><td>68</td><td>PORTUGAL</td><td>732</td><td>0.04</td></tr>
  <tr><td>65</td><td>PERU</td><td>714</td><td>0.04</td></tr>
  <tr><td>28</td><td>ECUADOR</td><td>492</td><td>0.03</td></tr>
  <tr><td>ML</td><td>MALTA</td><td>431</td><td>0.02</td></tr>
  <tr><td>41</td><td>INDIA</td><td>362</td><td>0.02</td></tr>
  <tr><td>14</td><td>BRAZIL</td><td>218</td><td>0.01</td></tr>
  <tr><td>SA</td><td>SAUDI ARABIA</td><td>197</td><td>0.01</td></tr>
</table>
<table>
  <tr>
    <th>ZZ</th>
    <th>MISCELLANEOUS ORGANIZATIONAL UNITS</th>
    <th>195</th>
    <th>0.01</th>
  </tr>
  <tr>
    <td>95</td>
    <td>YUGO SLAVIA</td>
    <td>173</td>
    <td>0.01</td>
  </tr>
  <tr>
    <td>92</td>
    <td>URUGUAY</td>
    <td>146</td>
    <td>0.01</td>
  </tr>
  <tr>
    <td>MA</td>
    <td>MAURITIUS</td>
    <td>77</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>7</td>
    <td>GERMANY, DEMOCRATIC REPUBLIC OF</td>
    <td>67</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>55</td>
    <td>MALAGASY REPUBLIC</td>
    <td>62</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>24</td>
    <td>KOREA, REPUBLIC OF</td>
    <td>53</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>IC</td>
    <td>IVORY COAST</td>
    <td>43</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>UR</td>
    <td>UKRAINE</td>
    <td>33</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>22</td>
    <td>COLOMBIA</td>
    <td>32</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>86</td>
    <td>THAILAND</td>
    <td>29</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>CR</td>
    <td>COSTA RICA</td>
    <td>29</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>HO</td>
    <td>HONDURAS</td>
    <td>12</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>SC</td>
    <td>SEYCHELLES</td>
    <td>11</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>TT</td>
    <td>TRINIDAD/TOBAGO</td>
    <td>6</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>21</td>
    <td>TAIWAN</td>
    <td>3</td>
    <td>0.00</td>
  </tr>
  <tr>
    <td>RU</td>
    <td>RUSSIA</td>
    <td>1</td>
    <td>0.00</td>
  </tr>
</table>

The United States, Russia, and Japan have multiple country codes. This is because the NODC Institution Code is limited to two digits and these countries each have more than 99 institutions that can potentially transfer data to NODC/WDC.
Table 7    The number of all XBT profiles in WOD01 as a function of year for the World Ocean.

Total Number of Profiles = 1,743,592

<table>
  <tr>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
  </tr>
  <tr>
    <td>1966</td>
    <td>1747</td>
    <td>1975</td>
    <td>54097</td>
    <td>1984</td>
    <td>54051</td>
    <td>1993</td>
    <td>61257</td>
  </tr>
  <tr>
    <td>1967</td>
    <td>9390</td>
    <td>1976</td>
    <td>48268</td>
    <td>1985</td>
    <td>67258</td>
    <td>1994</td>
    <td>52811</td>
  </tr>
  <tr>
    <td>1968</td>
    <td>26671</td>
    <td>1977</td>
    <td>54178</td>
    <td>1986</td>
    <td>72955</td>
    <td>1995</td>
    <td>62882</td>
  </tr>
  <tr>
    <td>1969</td>
    <td>34319</td>
    <td>1978</td>
    <td>52748</td>
    <td>1987</td>
    <td>69950</td>
    <td>1996</td>
    <td>48438</td>
  </tr>
  <tr>
    <td>1970</td>
    <td>44411</td>
    <td>1979</td>
    <td>52666</td>
    <td>1988</td>
    <td>59651</td>
    <td>1997</td>
    <td>41810</td>
  </tr>
  <tr>
    <td>1971</td>
    <td>57605</td>
    <td>1980</td>
    <td>52063</td>
    <td>1989</td>
    <td>42175</td>
    <td>1998</td>
    <td>34432</td>
  </tr>
  <tr>
    <td>1972</td>
    <td>53139</td>
    <td>1981</td>
    <td>50879</td>
    <td>1990</td>
    <td>76186</td>
    <td>1998</td>
    <td>36449</td>
  </tr>
  <tr>
    <td>1973</td>
    <td>54918</td>
    <td>1982</td>
    <td>53253</td>
    <td>1991</td>
    <td>63763</td>
    <td>2000</td>
    <td>23988</td>
  </tr>
  <tr>
    <td>1974</td>
    <td>54850</td>
    <td>1983</td>
    <td>53464</td>
    <td>1992</td>
    <td>57551</td>
    <td>2001</td>
    <td>9319</td>
  </tr>
</table>
Table 8    The number of all XBT profiles in WOD01 as a function of year for the southern hemisphere.

Total Number of Profiles = 312,290

<table>
  <tr>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
  </tr>
  <tr>
    <td>1966</td>
    <td>168</td>
    <td>1975</td>
    <td>4304</td>
    <td>1984</td>
    <td>8718</td>
    <td>1993</td>
    <td>17135</td>
  </tr>
  <tr>
    <td>1967</td>
    <td>644</td>
    <td>1976</td>
    <td>5912</td>
    <td>1985</td>
    <td>10193</td>
    <td>1994</td>
    <td>17102</td>
  </tr>
  <tr>
    <td>1968</td>
    <td>2136</td>
    <td>1977</td>
    <td>4778</td>
    <td>1986</td>
    <td>11400</td>
    <td>1995</td>
    <td>17730</td>
  </tr>
  <tr>
    <td>1969</td>
    <td>2032</td>
    <td>1978</td>
    <td>5800</td>
    <td>1987</td>
    <td>13050</td>
    <td>1996</td>
    <td>14532</td>
  </tr>
  <tr>
    <td>1970</td>
    <td>2561</td>
    <td>1979</td>
    <td>7161</td>
    <td>1988</td>
    <td>9875</td>
    <td>1997</td>
    <td>15779</td>
  </tr>
  <tr>
    <td>1971</td>
    <td>5163</td>
    <td>1980</td>
    <td>6680</td>
    <td>1989</td>
    <td>8698</td>
    <td>1998</td>
    <td>12132</td>
  </tr>
  <tr>
    <td>1972</td>
    <td>6548</td>
    <td>1981</td>
    <td>5717</td>
    <td>1990</td>
    <td>14803</td>
    <td>1998</td>
    <td>9864</td>
  </tr>
  <tr>
    <td>1973</td>
    <td>6424</td>
    <td>1982</td>
    <td>9395</td>
    <td>1991</td>
    <td>14204</td>
    <td>2000</td>
    <td>7816</td>
  </tr>
  <tr>
    <td>1974</td>
    <td>5898</td>
    <td>1983</td>
    <td>10203</td>
    <td>1992</td>
    <td>14242</td>
    <td>2001</td>
    <td>3493</td>
  </tr>
</table>
Table 9    The number of all XBT profiles in WOD01 as a function of year for the northern hemisphere.

Total Number of Profiles = 1,431,300

<table>
  <tr>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
    <th>YEAR</th>
    <th>PROFILE</th>
  </tr>
  <tr>
    <td>1966</td>
    <td>1579</td>
    <td>1975</td>
    <td>49793</td>
    <td>1984</td>
    <td>45333</td>
    <td>1993</td>
    <td>44122</td>
  </tr>
  <tr>
    <td>1967</td>
    <td>8746</td>
    <td>1976</td>
    <td>42355</td>
    <td>1985</td>
    <td>57065</td>
    <td>1994</td>
    <td>35709</td>
  </tr>
  <tr>
    <td>1968</td>
    <td>24535</td>
    <td>1977</td>
    <td>49400</td>
    <td>1986</td>
    <td>61555</td>
    <td>1995</td>
    <td>45152</td>
  </tr>
  <tr>
    <td>1969</td>
    <td>32287</td>
    <td>1978</td>
    <td>46948</td>
    <td>1987</td>
    <td>56900</td>
    <td>1996</td>
    <td>33906</td>
  </tr>
  <tr>
    <td>1970</td>
    <td>41850</td>
    <td>1979</td>
    <td>45505</td>
    <td>1988</td>
    <td>49776</td>
    <td>1997</td>
    <td>26031</td>
  </tr>
  <tr>
    <td>1971</td>
    <td>52442</td>
    <td>1980</td>
    <td>45383</td>
    <td>1989</td>
    <td>33477</td>
    <td>1998</td>
    <td>22299</td>
  </tr>
  <tr>
    <td>1972</td>
    <td>46591</td>
    <td>1981</td>
    <td>45162</td>
    <td>1990</td>
    <td>61383</td>
    <td>1998</td>
    <td>26585</td>
  </tr>
  <tr>
    <td>1973</td>
    <td>48494</td>
    <td>1982</td>
    <td>43858</td>
    <td>1991</td>
    <td>49559</td>
    <td>2000</td>
    <td>16172</td>
  </tr>
  <tr>
    <td>1974</td>
    <td>48952</td>
    <td>1983</td>
    <td>43261</td>
    <td>1992</td>
    <td>43309</td>
    <td>2001</td>
    <td>5826</td>
  </tr>
</table>
![Time series bar chart showing the number of XBT profiles in WOD01 for the world ocean as a function of year, from 1966 to 2000. The y-axis is labeled 'NUMBER OF PROFILES' and ranges from 0 to 90,000. The x-axis is labeled 'YEAR' and shows years from 66 to 00. The chart title states 'Total profiles = 1,743,592'.](page_180_120_1688_1202.png)

Fig. 5  Time series of XBT profiles in WOD01 for the world ocean as a function of year.
![Time series bar chart showing the number of XBT profiles in WOD01 for the southern hemisphere as a function of year, with a total profile count of 312,290. The x-axis is labeled 'YEAR' (ranging from 66 to 00), and the y-axis is labeled 'NUMBER OF PROFILES' (ranging from 0 to 90,000).](page_184_120_1687_1202.png)

Fig. 6    Time series of XBT profiles in WOD01 for the southern hemisphere as a function of year.
![Time series bar chart showing the number of XBT profiles in WOD01 for the northern hemisphere as a function of year, with a total of 1,431,300 profiles.](page_256_128_1536_1152.png)

Fig. 7    Time series of XBT profiles in WOD01 for the northern hemisphere as a function of year.
Fig. 8 Distribution of all profiles in the XBT files of WOD01.
Dots show location of 1-degree squares containing any data.

![World map showing distribution of XBT profile locations](page_120_120_1768_1344.png)
4. BIBLIOGRAPHY

Bailey, R. J., H. E. Phillips, and G. Meyers, 1989: Relevance to TOGA of systematic XBT errors, in Proceedings of the western Pacific International meeting and workshop on TOGA-COARE, eds. J. Picaut, R. Lukas, and T. Delcroix, 775-784.

Bailey, R.J. and A. Gronell, undated: Scientific quality control at the WOCE Indian Ocean Thermal Data Assembly Centre (WOCE UOT/DAC). CSIRO Division of Oceanography, Hobart.

Bailey, R.J., A. Gronell, 1994: Quality control cookbook for XBT data. CSIRO Marine Laboratories report No. 221, Hobart.

Bane, J. and M. H. Sessions, 1984: A field performance test of the Sippican deep aircraft-deployed expendable bathythermograph. J. Geophys. Res., 89, 3615-3621.

Boyd, J. and Linzell R., 1992: The temperature and depth accuracy of Sippican T-5 XBTs. J. Atmosph. and Oceanic Tech., 10, 128-136.

Budeus,G. And G. Krause, 1993: On-cruise calibration of XBT probes. Deep-Sea Res., 40,1359-1363.

Conkright M., S. Levitus, T. Boyer, 1994b: Quality control and processing of historical oceanographic and nutrient data. NOAA NESDIS Technical Report 79. Washington D.C.

Demeo, R.P., 1969: The validity of expendable bathythermograph measurements. Trans. Of the marine Temperature Measurements Symposium. Marine technology Society, 155-179.

Green, A.W., 1984: Bulk Dynamics of the expendable bathythermograph (XBT). Deep-Sea Res., 31, 415-426.

Hallock, Z. R., and W. J. Teague, 1992: The fall rate of the T-7 XBT. J. Atmosph. and Oceanic Tech., 9, 470-483.

Hanawa, K., and H. Yoritaka, 1987: Detection of systematic errors in XBT data and their correction. J. Oceanogr. Soc. Japan, 43, 68-76.

Hanawa, K. and T. Yasuda, 1991: Re-examination of depth errors in XBT data and their correction. J. Atm. Ocean Tech., 8, 422-429.

Hanawa, K., P. Rual, R. Bailey, A. Sy, and M. Szabados, 1995: A new depth-time equation for Sippican or TSK T-7, T-6 and T-4 expendable bathythermographs (XBT). Deep-Sea Res., 42, 1423-1452.

Hayes, S.P., L.J. Mangum, J. Picaut, A. Sumi, K. Takeuchi, 1991: TOGA-TAO: a moored array for real-time measurements in the tropical Pacific Ocean. Bull. Amer. Meteorol. Soc., 339-347.

Heinmiller, R.H., C.C. Ebbesmeyer, B.A. Taft, D.B. Olson, and O.P. Nikitin, 1983: Systematic errors in expendable bathythermographs (XBT) profiles. Deep-Sea Res., 30, 1185-1196.

IOC, 1992a: Summary report of the IGOSS task team on quality control for automated systems and addendum to the summary report. IOC/INF-888, 1992.

IOC, 1992b: Summary report of the IGOSS task team on quality control for automated systems and addendum to the summary report. IOC/INF-888-append., 1992.

IOC, 1994: Calculation of new depth equations for expendable bathythermographs using a temperature-error-free method (application to Sippican/TSK T-7, T-6 and T-4 XBTs). IOC Tech. Series No. 42, 46 pp.

Levitus, S., T. Boyer, 1994: World Ocean Atlas 1994, Vol. 5: Interannual variability of upper ocean thermal structure. NOAA Atlas NESDIS 5. U.S. Government Printing Office, Washington, D.C., 150 pp.

Levitus, S., R. Gelfeld, T. Boyer, and D. Johnson, 1994: Results of the NODC and IOC Data Archaeology and
Rescue projects. Key to Oceanographic Records Documentation No. 19, National Oceanographic Data Center, Washington, D.C., 67 pp.

Levitus, S., M. Conkright, T.P. Boyer, R. Gelfeld, D. Johnson, I. Smolyar, C. Stephens, G. Trammell, R. Moffatt, T. O'Brien, L. Stathoplos, 1998: Results of the IOC Global Oceanographic Data Archaeology and Rescue (GODAR) project. NOAA NESDIS Technical Report.

McPhaden, M., J., 1993: TOGA-TAO and the 1991-93 El Nino-Southern Oscillation Event. Oceanography, 6, 36-44.

McDowell, S., A note on XBT accuracy. Polymode News, 29.

Narayanan, S. and G.R. Lilly, 1993: On 5the accuracy of XBT profiles. Deep-Sea Res., 40, 2105-2113.

Singer, J. J., 1990: On the error observed in electronically digitized T-7 XBT data. J. Atmos. Oceanic Technol., 7, 603-611.

Sy, A., 1991:XBT measurements. WOCE reports, 67/91.

UNESCO, 1994: Calculation of new depth equations for expendable bathythermographs using a temperature-error-free method (Application to Sippican/TSK T-7, T-6, and T-4 XBTs). Intergovernmental Oceanographic Commission technical series, Paris.

Wright, D., and M. Szabados, 1989: Field evaluation of real-time XBT systems. Oceans 89 Proc., 5, 1621-1626.

Wright, D., 1989: Field evaluation of the XBT bowing problem. NOS OOD Data Report 91-2, National Ocean Service, NOAA, Rockville, Maryland, U.S.A.
5. APPENDIX B: DISTRIBUTIONS FOR INDIVIDUAL YEARS OF ALL XBT PROFILES IN WOD01

This appendix contains yearly data distributions of all XBT profile data contained in WOD98. These maps provide some history of the observational progress of the field of oceanography. They also serve as indicators of whether or not a particular data set from a scientist or institution is part of the NODC/WDC archive. The exchange of information provided by the publication of such maps has provided us with valuable information about deficiencies in the database. The locations of all WOD01 XBT profiles are plotted including profiles that may be erroneously located over land. However, WOD01 contains some profiles from various lakes so care should be exercised in the use of these profiles and the determination as to whether they represent errors in locations.

For all figures in Appendix A, a small dot indicates a one-degree square containing from one to four profiles and a large dot indicates five or more profiles.
Fig. B1  WOD01 XBT profile distribution for year 1966 .
Fig. B2  WOD01 XBT profile distribution for year 1967 .
Fig. B3  WOD01 XBT profile distribution for year 1968 .
![World map showing XBT profile distribution for year 1969](page_0_0_2048_1536.png)

Fig. B4  WOD01 XBT profile distribution for year 1969 .
Fig. B5  WOD01 XBT profile distribution for year 1970 .
Fig. B6  WOD01 XBT profile distribution for year 1971 .
Fig. B7  WOD01 XBT profile distribution for year 1972 .
Fig. B8  WOD01 XBT profile distribution for year 1973 .
Fig. B9  WOD01 XBT profile distribution for year 1974 .
Fig. B10  WOD01 XBT profile distribution for year 1975 .
Fig. B11  WOD01 XBT profile distribution for year 1976 .
Fig. B12  WOD01 XBT profile distribution for year 1977 .
Fig. B13  WOD01 XBT profile distribution for year 1978 .
Fig. B14  WOD01 XBT profile distribution for year 1979 .
Fig. B15  WOD01 XBT profile distribution for year 1980 .
Fig. B16  WOD01 XBT profile distribution for year 1981 .
Fig. B17  WOD01 XBT profile distribution for year 1982 .
Fig. B18  WOD01 XBT profile distribution for year 1983 .
Fig. B19  WOD01 XBT profile distribution for year 1984 .
Fig. B20  WOD01 XBT profile distribution for year 1985 .
Fig. B21  WOD01 XBT profile distribution for year 1986 .
Fig. B22  WOD01 XBT profile distribution for year 1987 .
Fig. B23  WOD01 XBT profile distribution for year 1988 .
Fig. B24  WOD01 XBT profile distribution for year 1989 .
Fig. B25  WOD01 XBT profile distribution for year 1990 .
Fig. B26  WOD01 XBT profile distribution for year 1991 .
Fig. B27  WOD01 XBT profile distribution for year 1992 .
Fig. B28  WOD01 XBT profile distribution for year 1993 .
Fig. B29  WOD01 XBT profile distribution for year 1994 .
Fig. B30  WOD01 XBT profile distribution for year 1995 .
Fig. B31  WOD01 XBT profile distribution for year 1996 .
Fig. B32  WOD01 XBT profile distribution for year 1997 .
Fig. B33  WOD01 XBT profile distribution for year 1998 .
Fig. B34  WOD01 XBT profile distribution for year 1999 .
Fig. B35  WOD01 XBT profile distribution for year 2000 .
Fig. B36  WOD01 XBT profile distribution for year 2001 .