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.
Research article
| 
22 Aug 2018
Research article |
| 22 Aug 2018
| 22 Aug 2018
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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- Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps F. van den Heuvel et al. 10.5194/amt-13-2481-2020
- ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO) A. Ferrone et al. 10.5194/amt-15-3569-2022
- Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements K. Fitch et al. 10.5194/amt-14-1127-2021
- Identification of snowfall microphysical processes from Eulerian vertical gradients of polarimetric radar variables N. Planat et al. 10.5194/amt-14-4543-2021
- Microphysics of Snowfall Over Coastal East Antarctica Simulated by Polar WRF and Observed by Radar É. Vignon et al. 10.1029/2019JD031028
- Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign J. Ko et al. 10.5194/gmd-15-4529-2022
- An open-source radar-based hail damage model for buildings and cars T. Schmid et al. 10.5194/nhess-24-847-2024
- Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method M. Lukach et al. 10.5194/amt-14-1075-2021
- Revision of WDM7 Microphysics Scheme and Evaluation for Precipitating Convection over the Korean Peninsula S. Jang et al. 10.3390/rs13193860
- Identification method of raindrops and hailstones based on digital holographic interference H. Zhou et al. 10.1364/OE.495327
- Evaluation of Remote Sensing Rainfall Products, Bias Correction and Temporal Disaggregation Approaches, for Improved Accuracy in Hydrologic Simulations P. Yaswanth et al. 10.1007/s11269-023-03486-0
- 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
- Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement M. Fehlmann et al. 10.5194/amt-13-4683-2020
- Dual-Polarization Radar Fingerprints of Precipitation Physics: A Review M. Kumjian et al. 10.3390/rs14153706
- Influence of cloud microphysics schemes on weather model predictions of heavy precipitation G. Köcher et al. 10.5194/acp-23-6255-2023
- Microphysics and dynamics of snowfall associated with a warm conveyor belt over Korea J. Gehring et al. 10.5194/acp-20-7373-2020
- 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
- Polarimetric radar characteristics of lightning initiation and propagating channels J. Figueras i Ventura et al. 10.5194/amt-12-2881-2019
- 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: 26 Jul 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...
