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:
Environment Pollution
Sea ice
Online Access:http://hdl.handle.net/2060/20010111030
id ftnasantrs:oai:casi.ntrs.nasa.gov:20010111030
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20010111030 2023-05-15T18:18:03+02:00 The NASA Seasonal-to-Interannual Prediction Project (NSIPP) Suarez, Max Koblinsky, Chester Schubert, Siegfried Koster, Randal Hansen, James Rienecker, Michele Adamec, David Unclassified, Unlimited, Publicly available Jul. 20, 2001 application/pdf http://hdl.handle.net/2060/20010111030 unknown Document ID: 20010111030 http://hdl.handle.net/2060/20010111030 No Copyright CASI Environment Pollution NASA/NP-2001-9-357-GSFC NAS 1.83:9-357-GSFC 2001 ftnasantrs 2019-07-21T07:51:23Z 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. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Environment Pollution
spellingShingle Environment Pollution
Suarez, Max
Koblinsky, Chester
Schubert, Siegfried
Koster, Randal
Hansen, James
Rienecker, Michele
Adamec, David
The NASA Seasonal-to-Interannual Prediction Project (NSIPP)
topic_facet Environment Pollution
description 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.
format Other/Unknown Material
author Suarez, Max
Koblinsky, Chester
Schubert, Siegfried
Koster, Randal
Hansen, James
Rienecker, Michele
Adamec, David
author_facet Suarez, Max
Koblinsky, Chester
Schubert, Siegfried
Koster, Randal
Hansen, James
Rienecker, Michele
Adamec, David
author_sort Suarez, Max
title The NASA Seasonal-to-Interannual Prediction Project (NSIPP)
title_short The NASA Seasonal-to-Interannual Prediction Project (NSIPP)
title_full The NASA Seasonal-to-Interannual Prediction Project (NSIPP)
title_fullStr The NASA Seasonal-to-Interannual Prediction Project (NSIPP)
title_full_unstemmed The NASA Seasonal-to-Interannual Prediction Project (NSIPP)
title_sort nasa seasonal-to-interannual prediction project (nsipp)
publishDate 2001
url http://hdl.handle.net/2060/20010111030
op_coverage Unclassified, Unlimited, Publicly available
genre Sea ice
genre_facet Sea ice
op_source CASI
op_relation Document ID: 20010111030
http://hdl.handle.net/2060/20010111030
op_rights No Copyright
_version_ 1766194291603931136

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