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- W2473984402 abstract "Abstract : Remotely-sensed observations from satellites hold great promise for providing a wealth of high-temporal and spatial resolution data, particularly over the oceans. However, it has been very difficult for numerical weather prediction systems to show consistent, positive forecast improvement attributable to satellite retrievals obtained in the conventional manner. By developing techniques for the direct assimilation of the satellite measured radiances, this project will lay the foundation for improved three- and four-dimensional data assimilation systems for global and mesoscale applications. These systems may be run at operational central-site forecast centers or run on-scene to provide operational mission support." @default.
- W2473984402 created "2016-07-22" @default.
- W2473984402 creator A5074307113 @default.
- W2473984402 date "1997-09-30" @default.
- W2473984402 modified "2023-09-23" @default.
- W2473984402 title "Assimilation of DOD Sensor Data into Operational Forecast Models PE 0602435 (NRL BE-035-02-32)" @default.
- W2473984402 doi "https://doi.org/10.21236/ada629074" @default.
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