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627 Direct 4DVar assimilation of CEP Stage IV radar and gauge precipitation data at ECMWFPhilippe LopezResearch Department To be submitted to Monthly Weather Review July 2010Series: ECM WF Technical
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Direct 4d-var assimilation is a data assimilation method used in numerical weather prediction models to directly adjust model variables to fit observations over a specified period of time.
Meteorologists and weather forecasters are typically required to carry out direct 4d-var assimilation in order to improve the accuracy of their weather forecasts.
Direct 4d-var assimilation is typically performed using specialized software that incorporates observations data and model variables in order to adjust and improve the model outputs.
The purpose of direct 4d-var assimilation is to improve the accuracy of numerical weather prediction models by assimilating observational data into the models.
Direct 4d-var assimilation typically reports on the adjustments made to model variables based on observed data, as well as the overall impact on model forecast accuracy.
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