Assimilation

Results: 5017



#Item
381

ASSIMILATION OF MERIS FAPAR INTO A TERRESTRIAL VEGETATION MODEL AND MISSION DESIGN T. Kaminski1 , W. Knorr2 , M. Scholze3 , N. Gobron4 , B. Pinty5 , R. Giering6 , and P.-P. Mathieu7 1 FastOpt GmbH, Schanzenstraße 36, 2

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Source URL: www.fastopt.com

- Date: 2010-12-13 10:10:00
    382

    Assimilation of ATMS on NPP

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    Source URL: cimss.ssec.wisc.edu

    - Date: 2012-04-05 13:27:33
      383

      Assimilation of AMSU-A Microwave Radiances with an Ensemble Kalman Filter (EnKF) ´ Herschel L. Mitchell, P. L. Houtekamer, Gerard Pellerin, Mark Buehner and Bjarne Hansen

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      Source URL: cimss.ssec.wisc.edu

      - Date: 2003-12-02 11:54:57
        384

        TOUGH (Targeting Optimal Use of GPS Humidity Measurements in Meteorology) WPDeliverable D41 Impact study of assimilation of GPS slant delays

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        Source URL: tough.dmi.dk

        - Date: 2006-07-27 07:42:02
          385

          BELARUSIANS IN POLAND: ASSIMILATION NOT IMPLIED BY LAW Hanna Vasilevich

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          Source URL: www.ecmi.de

          - Date: 2014-10-09 09:33:14
            386

            Microsoft Word - 2006wgnebb1.doc

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            Source URL: data-assimilation.jp

            - Date: 2007-03-26 01:32:18
              387

              Local-scale carbon cycle data assimilation using satellitederived FAPAR with a generic phenology model Wolfgang Knorr (1), Thomas Kaminski (2), Marko Scholze (1), Nadine Gobron (3), Bernard Pinty (3), Ralf Giering (2) an

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              Source URL: www.fastopt.com

              - Date: 2009-09-08 05:41:45
                388

                www.ec.gc.ca Impact of combined AIRS and GPSRO data in the new version of the Canadian global forecast model Data assimilation and Satellite Meteorology Section Dorval, Qc, Canada

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                Source URL: cimss.ssec.wisc.edu

                - Date: 2009-06-17 15:30:38
                  389

                  Forecast model bias correction in ocean data assimilation G. Chepurin, J. Carton, and D. Dee

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                  Source URL: www.atmos.umd.edu

                  - Date: 2004-01-02 11:45:32
                    390

                    A  new  approach  to  evaluating  mineral  dust  emission  in  numerical   models  using  data  assimilation  increments     Supervisors:  Prof.  Dr.  Peter  K

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                    Source URL: www.imk-tro.kit.edu

                    - Date: 2014-04-23 12:46:18
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