The top documents tagged [dvar analyses]

1 The GEMS production systems and retrospective reanalysis Adrian Simmons
Documents 1 The GEMS production systems and retrospective reanalysis Adrian Simmons

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Slide 1 ECMWF Data Assimilation Training Course – May 2010 Ensemble Data Assimilation Massimo Bonavita ECMWF Acknowledgments: Lars Isaksen, Elias Holm,
Documents Slide 1 ECMWF Data Assimilation Training Course – May 2010 Ensemble Data Assimilation Massimo Bonavita ECMWF Acknowledgments: Lars Isaksen, Elias Holm,

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94 data science
Documents 94 data science

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LRF Training, Belgrade 13 th - 16 th November 2013 © ECMWF Sources of predictability and error in ECMWF long range forecasts Tim Stockdale European Centre
Documents LRF Training, Belgrade 13 th - 16 th November 2013 © ECMWF Sources of predictability and error in ECMWF long range forecasts Tim Stockdale European Centre

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FOCRAII-9, Beijing 10 th April 2013 © ECMWF ECMWF long range forecast systems Dr. Tim Stockdale European Centre for Medium-Range Weather Forecasts
Documents FOCRAII-9, Beijing 10 th April 2013 © ECMWF ECMWF long range forecast systems Dr. Tim Stockdale European Centre for Medium-Range Weather Forecasts

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Convection-permitting forecasts initialized with continuously-cycling limited-area 3DVAR, EnKF and “hybrid” data assimilation systems Craig Schwartz and
Documents Convection-permitting forecasts initialized with continuously-cycling limited-area 3DVAR, EnKF and “hybrid” data assimilation systems Craig Schwartz and

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Daniel Paul Tyndall 4 March 2010 Department of Atmospheric Sciences University of Utah Salt Lake City, UT
Documents Daniel Paul Tyndall 4 March 2010 Department of Atmospheric Sciences University of Utah Salt Lake City, UT

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Ensemble-variational sea ice data assimilation Anna Shlyaeva, Mark Buehner, Alain Caya, Data Assimilation and Satellite Meteorology Research Jean-Francois
Documents Ensemble-variational sea ice data assimilation Anna Shlyaeva, Mark Buehner, Alain Caya, Data Assimilation and Satellite Meteorology Research Jean-Francois

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Craig Schwartz and Zhiquan Liu NCAR/NESL/MMM schwartz@ucar
Documents Craig Schwartz and Zhiquan Liu NCAR/NESL/MMM schwartz@ucar

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© British Crown copyright 2014 Met Office A comparison between the Met Office ETKF (MOGREPS) and an ensemble of 4DEnVars Marek Wlasak, Stephen Pring, Mohamed
Documents © British Crown copyright 2014 Met Office A comparison between the Met Office ETKF (MOGREPS) and an ensemble of 4DEnVars Marek Wlasak, Stephen Pring, Mohamed

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An Investigation of Strong and Weak Constraints to Improve Variational Surface Analyses
Documents An Investigation of Strong and Weak Constraints to Improve Variational Surface Analyses

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Data assimilation in RTOFS
Documents Data assimilation in RTOFS

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