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- W2005646980 abstract "The increasing availability of quality controlled remotely sensed data (e.g. products from weather radar networks) as well as enhanced computer capacity allows an efficient use of these data in numerical weather prediction (NWP) models. In this paper two different assimilation techniques for radar measurements in mesoscale models are presented: a physical initialization (PI), currently under development at the University of Bonn, and a latent heat nudging (LHN) method implemented at the German Weather Service (DWD). Both algorithms are designed for the non-hydrostatic limited-area model LM (Lokal-Model') of DWD. Input data are standard DWD measurements: national radar composites (reflectivities) and synoptical observations (temperature and dew point). Within the PI scheme the LM profiles of vertical wind, specific water vapor, and cloud water content are adjusted in such a way, that the model reproduces the radar derived precipitation. In the LHN scheme the prognostic variables temperature and specific humidity are changed. In PI and LHN runs with synthetic radar data the life-cycle of a single convective storm was well represented." @default.
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- W2005646980 date "2000-01-01" @default.
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- W2005646980 title "Assimilation of radar data in mesoscale models: Physical initialization and latent heat nudging" @default.
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- W2005646980 doi "https://doi.org/10.1016/s1464-1909(00)00186-6" @default.
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