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Seasonal-to-Interannual Precipitation Variability and Predictability in a Coupled Land-Atmosphere SystemIn an earlier GCM study, we showed that interactive land surface processes generally contribute more to continental precipitation variance than do variable sea surface temperatures (SSTs). A new study extends this result through an analysis of 16-member ensembles of multi-decade GCM simulations. We can now show that in many regions, although land processes determine the amplitude of the interannual precipitation anomalies, variable SSTs nevertheless control their timing. The GCM data can be processed into indices that describe geographical variations in (1) the potential for seasonal-to-interannual prediction, and (2) the extent to which the predictability relies on the proper representation of land-atmosphere feedback.
Document ID
19990102609
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Koster, Randal D.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Suarez, M. J.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Heiser, M.
(General Sciences Corp. Beltsville, MD United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1998
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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