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Evaluation of landfalling atmospheric rivers along the US West Coast in reanalysis data sets
Filetype[PDF-2.51 MB]


Details:
  • Personal Author:
  • Description:
    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.

  • Document Type:
    Journal Article
  • Funding:
    Grant No: NOAA-OAR-CPO-2012-2003041
  • Collection(s):
    Office of Oceanic and Atmospheric Research (OAR)
  • Main Document Checksum:
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      Description:
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      Personal Author:
      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.;
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      Description:
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      Source:
      Atmospheric Environment, 140, 298-310.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      Description:
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      Description:
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      Published Date:
      2016
      Source:
      Journal of Climate, 29(7), 2313-2332.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      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...
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      Personal Author:
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      CIRES (Cooperative Institute for Research in Environmental Sciences)
      Description:
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      Personal Author:
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      Published Date:
      2016
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      Geophysical Research Letters, 43(2), 819-825.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      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...
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      Published Date:
      2016
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      Monthly Weather Review, 144(4), 1617-1632.
      Series:
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      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...
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      Published Date:
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      Source:
      Journal of Applied Meteorology and Climatology, 55(6), 1345-1358.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      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...
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      Source:
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      Series:
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      Description:
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      Published Date:
      2016
      Source:
      Journal of Climate, 29(18), 6581-6596.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      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...
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    19. Pathways to the Production of Precipitating Hydrometeors and Tropical Cyclone Development
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      Monthly Weather Review, 144(6), 2395-2420.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      Description:
      Pathways to the production of precipitation in two cloud microphysics schemes available in the Weather Research and Forecasting (WRF) Model are investigated in a scenario of tropical cyclone intensification. Comparisons of the results from the WRF Mo...
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      2016
      Source:
      Bulletin of the American Meteorological Society, 97(4), 523-530.
      Series:
      CIRES (Cooperative Institute for Research in Environmental Sciences)
      File Type:
      Filetype[PDF - 3.44 MB]
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