Efficient Radar Forward Operator For Operational Data Assimilation Within The Cosmo Model
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Efficient Radar Forward Operator for Operational Data Assimilation within the COSMO-model
Author: Zeng, Yuefei
language: en
Publisher: KIT Scientific Publishing
Release Date: 2014-09-26
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.
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 enable radar data assimilation, a comprehensive modular radar forward operator has been developed. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Radar Forward Operator for Verification of Cloud Resolving Simulations within the COSMO Model
Author: Jerger, Dorit
language: en
Publisher: KIT Scientific Publishing
Release Date: 2014-05-19
In this work, various simulation methods of the effective radar reflectivity factor and its attenuation by atmospheric particles from the variables of the COSMO model have been implemented within a so-called radar forward operator, and its output was compared to measurements from the German radar network. To perform a statistically reliable model verification, contoured frequency by altitude diagrams (CFADs) were used and refined.