By utilizing data assimilation techniques in combination with advanced computational models of the global ocean, researchers are able to interpolate the historical observations to all points in the ocean.
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Several recent projects led to developing real time mesoscale forecasting system using the MM5 model coupled with a Lagrangian random particle dispersion model and implementation of data assimilation schemes.
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Data assimilation is a concept encompassing any method for combining observations of variables such as temperature and atmospheric pressure into models used in numerical weather prediction ( NWP ).
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P . Houtekamer and H . L . Mitchell, " Data assimilation using an ensemble Kalman filter technique ", Monthly Weather Review, 126 ( 1998 ), pp . 796 811.
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NAVDAS is designed to meet data assimilation needs of both global models and regional nested models and holds great promise to provide a substantial increase in Navy model prediction accuracy.
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She is the recipient of the 54th International Meteorological Organization Prize in 2009 from the World Meteorological Organization for her work on numerical weather prediction, data assimilation, and ensemble forecasting.
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Daley took on a project, in close partnership with Ed Barker, to design and construct a three-dimensional variational data assimilation system specifically meant to serve the needs of the US Navy.
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Because fire is highly nonlinear and irreversible, data assimilation for fire models poses special challenges, and standard methods, such as the ensemble Kalman filter ( EnKF ) do not work well.
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Given the abundance of spacecraft data for other planets in the solar system, data assimilation is now also applied beyond the Earth to obtain re-analyses of the atmospheric state of extraterrestrial planets.
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Two methods of data assimilation have been applied to these datasets : an Analysis Correction scheme and two Ensemble Kalman Filter schemes, both using a global circulation model of the martian atmosphere as forward model.
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