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Rainfall Algorithm Improvements and Validation for the TRMM Microwave ImagerThe Texas A&M monthly total oceanic rainfall retrieval algorithm is based on radiative transfer models and can only be modified on a physically sound basis. Within this constraint we have examined some improvements to the algorithm and it appears that it can be made significantly better. In particular, it appears that by proper use of the range of frequencies available on TMI (TRMM Microwave Imager) and AMSR that the need for the log-normal fit can be eliminated.
Document ID
20010097990
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Wilheit, Thomas T.
(Texas A&M Univ. College Station, TX United States)
Huang, Jun
(Texas A&M Univ. College Station, TX United States)
Lee, Dong
(Texas A&M Univ. College Station, TX United States)
Date Acquired
August 20, 2013
Publication Date
January 31, 2000
Publication Information
Publication: Microwave Remote Sensing of the Atmosphere and Environment II
Volume: 4152
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Other

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