Articles | Volume 11, issue 8
https://doi.org/10.5194/amt-11-4847-2018
© 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-11-4847-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Unraveling hydrometeor mixtures in polarimetric radar measurements
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Radar, Satellite, Nowcasting Department (MDR), MeteoSwiss, Locarno-Monti, Switzerland
Josué Gehring
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Christophe Praz
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Jordi Figueras i Ventura
Radar, Satellite, Nowcasting Department (MDR), MeteoSwiss, Locarno-Monti, Switzerland
Jacopo Grazioli
Radar, Satellite, Nowcasting Department (MDR), MeteoSwiss, Locarno-Monti, Switzerland
Marco Gabella
Radar, Satellite, Nowcasting Department (MDR), MeteoSwiss, Locarno-Monti, Switzerland
Urs Germann
Radar, Satellite, Nowcasting Department (MDR), MeteoSwiss, Locarno-Monti, Switzerland
Alexis Berne
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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- 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
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- Dynamic Differential Reflectivity Calibration Using Vertical Profiles in Rain and Snow A. Ferrone & A. Berne 10.3390/rs13010008
- Orographic Flow Influence on Precipitation During an Atmospheric River Event at Davis, Antarctica J. Gehring et al. 10.1029/2021JD035210
Latest update: 23 Nov 2024
Short summary
In this paper we propose an innovative approach for hydrometeor de-mixing, i.e., to identify and quantify the presence of mixtures of different hydrometeor types in a radar sampling volume. It is a bin-based approach, inspired by conventional decomposition methods and evaluated using C- and X-band radar measurements compared with synchronous ground observations. The paper also investigates the potential influence of incoherency in the backscattering from hydrometeor mixtures in a radar volume.
In this paper we propose an innovative approach for hydrometeor de-mixing, i.e., to identify and...