Efficient Radar Forward Operator for Operational Data Assimilation within the COSMO-model

Efficient Radar Forward Operator for Operational Data Assimilation within the COSMO-model

Doppler radars provide unique 3D information about precipitating clouds in high spatial and temporal resolutions. However, the observed quantities (reflectivity, Doppler velocity and polarization properties) are not directly comparable to the variables of numerical prediction models. In order to ena...

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Bibliographic Details
Main Author: Zeng, Yuefei (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2013
Series:Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
Subjects:
Physics
NWP model
radar simulator
parallelized and vectorized code
weather forecast
data assimilation
Online Access:DOAB: download the publication
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Summary:Doppler radars provide unique 3D information about precipitating clouds in high spatial and temporal resolutions. However, the observed quantities (reflectivity, Doppler velocity and polarization properties) are not directly comparable to the variables of numerical prediction models. In order to enable radar data assimilation, a comprehensive modular radar forward operator has been developed.
Physical Description:1 electronic resource (XI, 235 p. p.)
ISBN:KSP/1000036921
9783731501282
Access:Open Access

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