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Comparing Evaporative Sources of Terrestrial Precipitation and Their Extremes in MERRA Using Relative EntropyA quasi-isentropic back trajectory scheme is applied to output from the Modern Era Retrospective-analysis for Research and Applications and a land-only replay with corrected precipitation to estimate surface evaporative sources of moisture supplying precipitation over every ice-free land location for the period 1979-2005. The evaporative source patterns for any location and time period are effectively two dimensional probability distributions. As such, the evaporative sources for extreme situations like droughts or wet intervals can be compared to the corresponding climatological distributions using the method of relative entropy. Significant differences are found to be common and widespread for droughts, but not wet periods, when monthly data are examined. At pentad temporal resolution, which is more able to isolate floods and situations of atmospheric rivers, values of relative entropy over North America are typically 50-400 larger than at monthly time scales. Significant differences suggest that moisture transport may be the key to precipitation extremes. Where evaporative sources do not change significantly, it implies other local causes may underlie the extreme events.
Document ID
20140013017
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Dirmeyer, Paul A.
(George Mason Univ. Fairfax, VA, United States)
Wei, Jiangfeng
(Texas Univ. Austin, TX, United States)
Bosilovich, Michael G.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Mocko, David M.
(Science Applications International Corp. Greenbelt, MD, United States)
Date Acquired
October 15, 2014
Publication Date
July 23, 2014
Publication Information
Publisher: American Geophysical Society
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN11405
Funding Number(s)
CONTRACT_GRANT: NNG12HP08C
CONTRACT_GRANT: NNX09AI84G
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Climatological Distributions
Data Assimilation
MERRA
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