An intercomparison of landfalling atmospheric rivers (ARs) between four reanalysis data sets using one satellite-derived AR detection method as a metric to characterize landfalling atmospheric rivers (ARs) along the U.S. West Coast is performed over 15 cool seasons (October-March) during the period from water years 1998 to 2012. The four reanalysis data sets analyzed in this study are the Climate System Forecast Reanalysis (CFSR), Modern-Era Retrospective Analysis for Research and Applications (MERRA), ERA-Interim (ERA-I), and the Twentieth Century Reanalysis version 2 (20CR) data set. The Atmospheric River Detection Tool is used to identify AR features in the total vertically integrated water vapor (IWV) data of the reanalysis data, and validation of the reanalysis AR data are compared with AR data derived from satellite IWV observations. The AR landfall data from reanalysis were generally found to be in good agreement with satellite observations. Reanalysis data with less (CFSR) or no assimilation (20CR) of the satellite data used in this study had greater bias with AR characteristics such as IWV, width, and landfall location. The 20CR ensemble data were found to better characterize the AR landfall characteristics than the 20CR ensemble mean although all 20CR data underestimated AR landfalls particularly in the southern section of the U.S. West Coast. Overall AR landfall detections for the 15year cool season period were within 5% of the satellite for the CFSR, MERRA, and ERA-I data.
Creamean, J. M.; White, A. B.; Minnis, P.; Palikonda, R.; Spangenberg, D. A.; Prather, K. A.;
Published Date:
2016
Source:
Atmospheric Environment, 140, 298-310.
Description:
Ice formation in orographic mixed -phase clouds can enhance precipitation and depends on the type of aerosols that serve as ice nucleating particles (INPs). The resulting precipitation from these clouds is a viable source of water, especially for reg...
Zawislak, J.; Jiang, H. Y.; Alvey, G. R.; Zipser, E. J.; Rogers, R. F.; Zhang, J. A.; Stevenson, S. N.;
Published Date:
2016
Source:
Monthly Weather Review, 144(9), 3333-3354.
Description:
The structural evolution of the inner core and near environment throughout the life cycle of Hurricane Edouard (2014) is examined using a synthesis of airborne and satellite measurements. This study specifically focuses on the precipitation evolution...
Turney, C. S. M.; Jones, R. T.; Lister, D.; Jones, P.; Williams, A. N.; Hogg, A.; Thomas, Z. A.; Compo, G. P.; Yin, X. G.; Fogwill, C. J.; Palmer, J.; Colwell, S.; Allan, R.; Visbeck, M.;
Published Date:
2016
Source:
Environmental Research Letters, 11(6), 064009.
Description:
Determining the timing and impact of anthropogenic climate change in data-sparse regions is a considerable challenge. Arguably, nowhere is this more difficult than the Antarctic Peninsula and the subantarctic South Atlantic where observational record...
The phrasing of the first of three questions motivating CMIP6 - "How does the Earth system respond to forcing?" - suggests that forcing is always well-known, yet the radiative forcing to which this question refers has historically been uncertain in c...
This study documents a very rapid increase in convective instability, vertical wind shear, and mesoscale forcing for ascent leading to the formation of a highly unusual tornado as detected by a ground-based microwave radiometer and wind profiler, and...
Hobbins, M. T.; Wood, A.; McEvoy, D. J.; Huntington, J. L.; Morton, C.; Anderson, M.; Hain, C.;
Published Date:
2016
Source:
Journal of Hydrometeorology, 17(6), 1745-1761.
Description:
Many operational drought indices focus primarily on precipitation and temperature when depicting hydroclimatic anomalies, and this perspective can be augmented by analyses and products that reflect the evaporative dynamics of drought. The linkage bet...
Mahoney, K.; Jackson, D. L.; Neiman, P.; Hughes, M.; Darby, L.; Wick, G.; White, A.; Sukovich, E.; Cifelli, R.;
Published Date:
2016
Source:
Monthly Weather Review, 144(4), 1617-1632.
Description:
An analysis of atmospheric rivers (ARs) as defined by an automated AR detection tool based on integrated water vapor transport (IVT) and the connection to heavy precipitation in the southeast United States (SEUS) is performed. Climatological water va...
Cox, C. J.; Uttal, T.; Long, C. N.; Shupe, M. D.; Stone, R. S.; Starkweather, S.;
Published Date:
2016
Source:
Journal of Climate, 29(18), 6581-6596.
Description:
Recent studies suggest that the atmosphere conditions arctic sea ice properties in spring in a way that may be an important factor in predetermining autumn sea ice concentrations. Here, the role of clouds in this system is analyzed using surface-base...
The question of whether ocean coupling matters for the extratropical Northern Hemisphere atmospheric response to projected late 21st century Arctic sea ice loss is addressed using a series of experiments with Community Climate System Model version 4 ...
Uttal, T.; Starkweather, S.; Drummond, J. R.; Vihma, T.; Makshtas, A. P.; Darby, L. S.; Burkhart, J. F.; Cox, C. J.; Schmeisser, L. N.; Haiden, T.; Maturilli, M.; Shupe, M. D.; De Boer, G.; Saha, A.; Grachev, A. A.; Crepinsek, S. M.; Bruhwiler, L.; Goodison, B.; McArthur, B.; Walden, V. P.; Dlugokencky, E. J.; Persson, P. O. G.; Lesins, G.; Laurila, T.; Ogren, J. A.; Stone, R.; Long, C. N.; Sharma, S.; Massling, A.; Turner, D. D.; Stanitski, D. M.; Asmi, E.; Aurela, M.; Skov, H.; Eleftheriadis, K.; Virkkula, A.; Platt, A.; Forland, E. J.; Iijima, Y.; Nielsen, I. E.; Bergin, M. H.; Candlish, L.; Zimov, N. S.; Zimov, S. A.; O'Neill, N. T.; Fogal, P. F.; Kivi, R.; Konopleva-Akish, E. A.; Verlinde, J.; Kustov, V. Y.; Vasel, B.; Ivakhov, V. M.; Viisanen, Y.; Intrieri, J. M.;
Published Date:
2016
Source:
Bulletin of the American Meteorological Society, 97(6), 1033-1056.
Description:
International Arctic Systems for Observing the Atmosphere (IASOA) activities and partnerships were initiated as a part of the 2007-09 International Polar Year (IPY) and are expected to continue for many decades as a legacy program. The IASOA focus is...
Hoerling, M.; Eischeid, J.; Perlwitz, J.; Quan, X. W.; Wolter, K.; Cheng, L. Y.;
Published Date:
2016
Source:
Journal of Climate, 29(7), 2313-2332.
Description:
Time series of U.S. daily heavy precipitation (95th percentile) are analyzed to determine factors responsible for regionality and seasonality in their 1979-2013 trends. For annual conditions, contiguous U.S. trends have been characterized by increase...
The future rate of climate change in mountains has many potential human impacts, including those related to water resources, ecosystem services, and recreation. Analysis of the ensemble mean response of CMIP5 global climate models (GCMs) shows amplif...
Self-organizing maps (SOMs) were used to explore relationships between large-scale synoptic conditions, especially vertically integrated water vapor transport (IVT), and extreme precipitation events in the U.S. Intermountain West (IMW). By examining ...
Bakker, D. C. E.; Pfeil, B.; Landa, C. S.; Metzl, N.; O'Brien, K. M.; Olsen, A.; Smith, K.; Cosca, C.; Harasawa, S.; Jones, S. D.; Nakaoka, S.; Nojiri, Y.; Schuster, U.; Steinhoff, T.; Sweeney, C.; Takahashi, T.; Tilbrook, B.; Wada, C.; Wanninkhof, R.; Alin, S. R.; Balestrini, C. F.; Barbero, L.; Bates, N. R.; Bianchi, A. A.; Bonou, F.; Boutin, J.; Bozec, Y.; Burger, E. F.; Cai, W. J.; Castle, R. D.; Chen, L. Q.; Chierici, M.; Currie, K.; Evans, W.; Featherstone, C.; Feely, R. A.; Fransson, A.; Goyet, C.; Greenwood, N.; Gregor, L.; Hankin, S.; Hardman-Mountford, N. J.; Harlay, J.; Hauck, J.; Hoppema, M.; Humphreys, M. P.; Hunt, C.; Huss, B.; Ibanhez, J. S. P.; Johannessen, T.; Keeling, R.; Kitidis, V.; Kortzinger, A.; Kozyr, A.; Krasakopoulou, E.; Kuwata, A.; Landschutzer, P.; Lauvset, S. K.; Lefevre, N.; Lo Monaco, C.; Manke, A.; Mathis, J. T.; Merlivat, L.; Millero, F. J.; Monteiro, P. M. S.; Munro, D. R.; Murata, A.; Newberger, T.; Omar, A. M.; Ono, T.; Paterson, K.; Pearce, D.; Pierrot, D.; Robbins, L. L.; Saito, S.; Salisbury, J.; Schlitzer, R.; Schneider, B.; Schweitzer, R.; Sieger, R.; Skjelvan, I.; Sullivan, K. F.; Sutherland, S. C.; Sutton, A. J.; Tadokoro, K.; Telszewski, M.; Tuma, M.; van Heuven, S.; Vandemark, D.; Ward, B.; Watson, A. J.; Xu, S. Q.;
Published Date:
2016
Source:
Earth System Science Data, 8(2), 383-413.
Description:
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO(2) (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO(2) values from 3646 data ...
Pettersen, C.; Bennartz, R.; Kulie, M. S.; Merrelli, A. J.; Shupe, M. D.; Turner, D. D.;
Published Date:
2016
Source:
Atmospheric Chemistry and Physics, 16(7), 4743-4756.
Description:
Multi-instrument, ground-based measurements provide unique and comprehensive data sets of the atmosphere for a specific location over long periods of time and resulting data compliment past and existing global satellite observations. This paper explo...
Bianco, L.; Djalalova, I. V.; Wilczak, J. M.; Cline, J.; Calvert, S.; Konopleva-Akish, E.; Finley, C.; Freedman, J.;
Published Date:
2016
Source:
Weather and Forecasting, 31(4), 1137-1156.
Description:
A wind energy Ramp Tool and Metric (RT&M) has been developed out of recognition that during significant ramp events (large changes in wind power Delta p over short periods of time Delta t) it is more difficult to balance the electric load with power ...
Matrosov, S. Y.; Cifelli, R.; Neiman, P. J.; White, A. B.;
Published Date:
2016
Source:
Journal of Applied Meteorology and Climatology, 55(6), 1345-1358.
Description:
S-band profiling (S-PROF) radar measurements from different southeastern U.S. Hydrometeorology Testbed sites indicated a frequent occurrence of rain that did not exhibit radar bright band (BB) and was observed outside the periods of deep-convective p...
Hoell, A.; Hoerling, M.; Eischeid, J.; Wolter, K.; Dole, R.; Perlwitz, J.; Xu, T. Y.; Cheng, L. Y.;
Published Date:
2016
Source:
Geophysical Research Letters, 43(2), 819-825.
Description:
The sensitivity of California precipitation to El Nino intensity is investigated by applying a multimodel ensemble of historical climate simulations to estimate how November-April precipitation probability distributions vary across three categorizati...
MacDonald, A. E.; Clack, C. T. M.; Alexander, A.; Dunbar, A.; Wilczak, J.; Xie, Y. F.;
Published Date:
2016
Source:
Nature Climate Change, 6(5), 526-531.
Description:
Carbon dioxide emissions from electricity generation are a major cause of anthropogenic climate change. The deployment of wind and solar power reduces these emissions, but is subject to the variability of the weather. In the present study, we calcula...
Karnauskas, K. B.; Johnson, G. C.; Murtugudde, R.;
Published Date:
2017
Source:
International Journal of Climatology, 37(1), 197-203.
Description:
Contrary to the above title, a more typical question might be ‘How does climate variability and change impact atolls (and associated ecosystems and civilizations)?’ While several studies have focused on the effects of island topography on local c...
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river (AR) science based on detection algorithm alone. Currently, there are ma...
Shinoda, Toshiaki; Zamudio, Luis; Guo, Yanjuan; Metzger, E. Joseph; Fairall, C. W.;
Published Date:
2019
Source:
Scientific Reports 9 (2152)Â
Description:
Atmospheric rivers (ARs) cause heavy precipitation and flooding in the coastal areas of many mid-latitude continents, and thus the atmospheric processes associated with the AR have been intensively studied in recent years. However, AR-associated ocea...
Self-organizing maps (SOMs) were used to explore relationships between large-scale synoptic conditions, especially vertically integrated water vapor transport (IVT), and extreme precipitation events in the U.S. Intermountain West (IMW). By examining ...