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Real-Time Multianalysis–Multimodel Superensemble Forecasts of Precipitation Using TRMM and SSM/I Products.

Authors :
Krishnamurti, T. N.
Surendran, Sajani
Shin, D. W.
Correa-Torres, Ricardo J.
Vijaya Kumar, T. S. V.
Williford, Eric
Kummerow, Chris
Adler, Robert F.
Simpson, Joanne
Kakar, Ramesh
Olson, William S.
Turk, F. Joseph
Source :
Monthly Weather Review; Dec2001, Vol. 129 Issue 12, p2861, 23p
Publication Year :
2001

Abstract

This paper addresses real-time precipitation forecasts from a multianalysis–multimodel superensemble. The methodology for the construction of the superensemble forecasts follows previous recent publications on this topic. This study includes forecasts from multimodels of a number of global operational centers. A multianalysis component based on the Florida State University (FSU) global spectral model that utilizes TRMM and SSM/I datasets and a number of rain-rate algorithms is also included. The difference in the analysis arises from the use of these rain rates within physical initialization that produces distinct differences among these components in the divergence, heating, moisture, and rain-rate descriptions. A total of 11 models, of which 5 represent global operational models and 6 represent multianalysis forecasts from the FSU model initialized by different rain-rate algorithms, are included in the multianalysis–multimodel system studied here. In this paper, “multimodel” refers to different models whose forecasts are being assimilated for the construction of the superensemble. “Multianalysis” refers to different initial analysis contributing to forecasts from the same model. The term superensemble is being used here to denote the bias-corrected forecasts based on the products derived from the multimodel and the multianalysis. The training period is covered by nearly 120 forecast experiments prior to 1 January 2000 for each of the multimodels. These are all 3-day forecasts. The statistical bias of the models is determined from multiple linear regression of these forecasts against a “best” rainfall analysis field that is based on TRMM and SSM/I datasets and using the rain-rate algorithms recently developed at NASA Goddard Space Flight Center. This paper discusses the results of real-time rainfall forecasts based on this system. The main results of this study are that the multianalysis–multi... [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00270644
Volume :
129
Issue :
12
Database :
Complementary Index
Journal :
Monthly Weather Review
Publication Type :
Academic Journal
Accession number :
5856287
Full Text :
https://doi.org/10.1175/1520-0493(2001)129<2861:RTMMSF>2.0.CO;2