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The top documents tagged [adjoint model]
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Introduction to Data Assimilation: Lecture 1 Saroja Polavarapu Meteorological Research Division Environment Canada PIMS Summer School, Victoria. July 14-18,
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Sensitivity Studies (1): Motivation Theoretical background. Sensitivity of the Lorenz model. Thomas Jung ECMWF, Reading, UK (
[email protected]
)
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Robin Hogan, Nicola Pounder, Chris Westbrook University of Reading, UK Julien Delanoë LATMOS, France Alessandro Battaglia University of Leicester, UK Retrieving
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13 th EMS Annual Meeting & 11 th European Conference on Applications of Meteorology 9 th – 13 th September 2013Reading, UK Ensemble prediction as a tool
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Impacts of Improved Error Analysis on the Assimilation of Polar Satellite Passive Microwave Precipitation Estimates into the NCEP Global Data Assimilation
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1 Accomplishments: * Nested ROMS in larger domain forward simulation (MABGOM-ROMS) with configuration suitable for IS4DVAR experimentation. Considerations:
223 views
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1 Hans Huang: WRF 4D-Var Seminar at UCD 5th October 2006 WRF 4D-Var The Weather Research and Forecasting model based 4-Dimensional Variational data assimilation
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(Inverse) Multiscale Modelling Martin Burger Institut für Numerische und Angewandte Mathematik Westfälische Willhelms-Universität Münster
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Sensitivity Analysis of SST along NJ coast with ADROMS Weifeng (Gordon) Zhang John Wilkin Julia Levin Hernan Arango Institute of Marine and Coastal Sciences,
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Bob Yantosca Philippe Le Sager Claire Carouge Atmospheric Chemistry Modeling Group School of Engineering & Applied Sciences Harvard University
[email protected]
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Daven K. Henze with Amir Hakami and John H. Seinfeld Caltech, Chemical Engineering Support from: NSF, EPA, TeraGrid and JPL Supercomp., W. & S. Davidow
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Algorithms Overview Hernan G. Arango Institute of Marine and Coastal Sciences Rutgers University 2004 ROMS/TOMS European Workshop CNR-ISMAR, Venice, October
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