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タイトルThe NASA Seasonal-to-Interannual Prediction Project (NSIPP)
本文(外部サイト)http://hdl.handle.net/2060/20010111030
著者(英)Suarez, Max; Koblinsky, Chester; Schubert, Siegfried; Koster, Randal; Hansen, James; Rienecker, Michele; Adamec, David
著者所属(英)NASA Goddard Space Flight Center
発行日2001-07-20
言語eng
内容記述The goal of the project is to develop an assimilation and forecast system based on a coupled atmosphere-ocean-land-surface-sea-ice model capable of using a combination of satellite and in situ data sources to improve the prediction of ENSO and other major S-I signals and their global teleconnections. The objectives of this annual report are to: (1) demonstrate the utility of satellite data, especially surface height surface winds, air-sea fluxes and soil moisture, in a coupled model prediction system; and (2) aid in the design of the observing system for short-term climate prediction by conducting OSSE's and predictability studies.
NASA分類Environment Pollution
レポートNONASA/NP-2001-9-357-GSFC
NAS 1.83:9-357-GSFC
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/225701


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