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AIRS Impact on Analysis and Forecast of an Extreme Rainfall Event (Indus River Valley 2010) with a Global Data Assimilation and Forecast SystemA set of data assimilation and forecast experiments are performed with the NASA Global data assimilation and forecast system GEOS-5, to compare the impact of different approaches towards assimilation of Advanced Infrared Spectrometer (AIRS) data on the precipitation analysis and forecast skill. The event chosen is an extreme rainfall episode which occurred in late July 11 2010 in Pakistan, causing massive floods along the Indus River Valley. Results show that the assimilation of quality-controlled AIRS temperature retrievals obtained under partly cloudy conditions produce better precipitation analyses, and substantially better 7-day forecasts, than assimilation of clear-sky radiances. The improvement of precipitation forecast skill up to 7 day is very significant in the tropics, and is caused by an improved representation, attributed to cloudy retrieval assimilation, of two contributing mechanisms: the low-level moisture advection, and the concentration of moisture over the area in the days preceding the precipitation peak.
Document ID
20110015439
Document Type
Reprint (Version printed in journal)
Authors
Reale, O. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lau, W. K. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Susskind, J. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Rosenberg, R. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 25, 2013
Publication Date
January 1, 2011
Publication Information
ISSN: 0094-8276
Subject Category
Meteorology and Climatology
Report/Patent Number
GSFC.JA.5014.2011
Distribution Limits
Public
Copyright
Other