Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-3883-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3883-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jul 2018
Research article |
| 04 Jul 2018
| 04 Jul 2018
From model to radar variables: a new forward polarimetric radar operator for COSMO
Daniel Wolfensberger
LTE, Ecole polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
LTE, Ecole polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Cited
16 citations as recorded by crossref.
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- Cloud-Resolving Model Applied to Nowcasting: An Evaluation of Radar Data Assimilation and Microphysics Parameterization E. Vendrasco et al. 10.1175/WAF-D-20-0017.1
- Combining Triple‐Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line M. Cholette et al. 10.1029/2022MS003328
- A New Way to Simulate Polarimetric Radar Signatures of Melting Layers Z. Tao et al. 10.1109/TGRS.2024.3376420
- Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
- Study on Sensitivity of Observation Error Statistics of Doppler Radars to the Radar forward Operator in Convective-Scale Data Assimilation Y. Zeng et al. 10.3390/rs14153685
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
- Combined use of volume radar observations and high-resolution numerical weather predictions to estimate precipitation at the ground: methodology and proof of concept T. Le Bastard et al. 10.5194/amt-12-5669-2019
- Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe – modeling and observations P. Shrestha et al. 10.5194/acp-22-14095-2022
- X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems J. Ribaud et al. 10.5194/amt-12-811-2019
- Empirical model for backscattering polarimetric variables in rain at W-band: motivation and implications A. Myagkov et al. 10.5194/amt-18-1621-2025
- What Polarimetric Weather Radars Offer to Cloud Modelers: Forward Radar Operators and Microphysical/Thermodynamic Retrievals A. Ryzhkov et al. 10.3390/atmos11040362
- Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators P. Shrestha et al. 10.5194/gmd-15-291-2022
- ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. 10.5194/gmd-17-5657-2024
- From model to radar variables: a new forward polarimetric radar operator for COSMO D. Wolfensberger & A. Berne 10.5194/amt-11-3883-2018
15 citations as recorded by crossref.
- Evaluation of modelled summertime convective storms using polarimetric radar observations P. Shrestha et al. 10.5194/acp-22-7593-2022
- Cloud-Resolving Model Applied to Nowcasting: An Evaluation of Radar Data Assimilation and Microphysics Parameterization E. Vendrasco et al. 10.1175/WAF-D-20-0017.1
- Combining Triple‐Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line M. Cholette et al. 10.1029/2022MS003328
- A New Way to Simulate Polarimetric Radar Signatures of Melting Layers Z. Tao et al. 10.1109/TGRS.2024.3376420
- Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
- Study on Sensitivity of Observation Error Statistics of Doppler Radars to the Radar forward Operator in Convective-Scale Data Assimilation Y. Zeng et al. 10.3390/rs14153685
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
- Combined use of volume radar observations and high-resolution numerical weather predictions to estimate precipitation at the ground: methodology and proof of concept T. Le Bastard et al. 10.5194/amt-12-5669-2019
- Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe – modeling and observations P. Shrestha et al. 10.5194/acp-22-14095-2022
- X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems J. Ribaud et al. 10.5194/amt-12-811-2019
- Empirical model for backscattering polarimetric variables in rain at W-band: motivation and implications A. Myagkov et al. 10.5194/amt-18-1621-2025
- What Polarimetric Weather Radars Offer to Cloud Modelers: Forward Radar Operators and Microphysical/Thermodynamic Retrievals A. Ryzhkov et al. 10.3390/atmos11040362
- Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators P. Shrestha et al. 10.5194/gmd-15-291-2022
- ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. 10.5194/gmd-17-5657-2024
1 citations as recorded by crossref.
Latest update: 23 Apr 2025
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Short summary
This work presents a polarimetric forward operator for the COSMO weather prediction model. This tool is able to simulate radar observables from the state of the atmosphere simulated by the model, taking into account most physical aspects of radar beam propagation and backscattering. This operator was validated with a large dataset of radar observations from several instruments and it was shown that is able to simulate a realistic radar signature in liquid precipitation.
This work presents a polarimetric forward operator for the COSMO weather prediction model. This...
