The NASA Seasonal-to-Interannual Prediction Project (NSIPP)

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...

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Bibliographic Details
Main Authors: Suarez, Max, Koblinsky, Chester, Schubert, Siegfried, Koster, Randal, Hansen, James, Rienecker, Michele, Adamec, David
Format: Other/Unknown Material
Language:unknown
Published: 2001
Subjects:
Online Access:http://hdl.handle.net/2060/20010111030
Description
Summary: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.