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Growth of Forecast Errors from Covariances Modeled by 4DVAR and ETKF Methods
Publisher: American Meteorological Society
Abstract: umerical weather forecasting errors grow with time. Error growth results from the amplification of small perturbations due to atmospheric instability or from model deficiencies during model integration. In current NWP ...
Ensemble Data Assimilation Using a Unified Representation of Model Error
Publisher: American Meteorological Society
Abstract: natural way to set up an ensemble forecasting system is to use a model with additional stochastic forcing representing the model error and to derive the initial uncertainty by using an ensemble of analyses generated with ...
Use of the Information Content in Satellite Measurements for an Efficient Interface to Data Assimilation
Publisher: American Meteorological Society
Abstract: Satellite observations are the most assimilated data type by operational meteorological centers. Spaceborne instruments can make measurements all over the globe and provide observations for assimilation even where the ...