Articles | Volume 19, issue 4
https://doi.org/10.5194/nhess-19-907-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-907-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale numerical weather prediction analyses and forecasts of heavy precipitation events
Mary Borderies
CORRESPONDING AUTHOR
CNRM UMR 3589, Météo-France, CNRS, Toulouse, France
Olivier Caumont
CNRM UMR 3589, Météo-France, CNRS, Toulouse, France
Julien Delanoë
LATMOS, IPSL, Université Versailles St-Quentin, CNRS, UPMC,
Guyancourt, France
Véronique Ducrocq
CNRM UMR 3589, Météo-France, CNRS, Toulouse, France
Nadia Fourrié
CNRM UMR 3589, Météo-France, CNRS, Toulouse, France
Pascal Marquet
CNRM UMR 3589, Météo-France, CNRS, Toulouse, France
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Cited
14 citations as recorded by crossref.
- Definition of the Moist-Air Exergy Norm: A Comparison with Existing “Moist Energy Norms” P. Marquet et al. 10.1175/MWR-D-19-0081.1
- Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept F. Erdmann et al. 10.5194/nhess-23-2821-2023
- Improvement of mesoscale numerical weather prediction WRF-ARW in the Republic of Belarus by assimilation of radar wind and reflectivity data P. Zaiko et al. 10.33581/2521-6740-2020-2-3-13
- Data assimilation of weather radar reflectivity with a blending hydrometer retrieval scheme for two convective storms in East China F. Shen et al. 10.1016/j.atmosres.2025.108110
- Mobility-Enhanced Nitrogen-Polar GaN/AlGaN Heterostructure by Stress Modulation H. Ma et al. 10.1109/LED.2025.3595399
- Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
- One‐dimensional maximum‐likelihood estimation for spaceborne precipitation radar data assimilation Y. Ikuta et al. 10.1002/qj.3950
- Impact of WIVERN Wind Observations on ARPEGE Numerical Weather Prediction Model Forecasts Using an Ensemble of Data Assimilation Method N. Sasso et al. 10.1002/qj.4991
- Assimilation of Moderate-Resolution Imaging Spectroradiometer Level Two Cloud Products for Typhoon Analysis and Prediction H. Zhang et al. 10.3390/rs17091635
- Increasing model vertical resolution may not necessarily lead to improved atmospheric predictability S. Moon et al. 10.1063/5.0081734
- Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment N. Fourrié et al. 10.5194/nhess-21-463-2021
- The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6 A. Caldas-Alvarez et al. 10.5194/wcd-2-561-2021
- 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
14 citations as recorded by crossref.
- Definition of the Moist-Air Exergy Norm: A Comparison with Existing “Moist Energy Norms” P. Marquet et al. 10.1175/MWR-D-19-0081.1
- Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept F. Erdmann et al. 10.5194/nhess-23-2821-2023
- Improvement of mesoscale numerical weather prediction WRF-ARW in the Republic of Belarus by assimilation of radar wind and reflectivity data P. Zaiko et al. 10.33581/2521-6740-2020-2-3-13
- Data assimilation of weather radar reflectivity with a blending hydrometer retrieval scheme for two convective storms in East China F. Shen et al. 10.1016/j.atmosres.2025.108110
- Mobility-Enhanced Nitrogen-Polar GaN/AlGaN Heterostructure by Stress Modulation H. Ma et al. 10.1109/LED.2025.3595399
- Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
- One‐dimensional maximum‐likelihood estimation for spaceborne precipitation radar data assimilation Y. Ikuta et al. 10.1002/qj.3950
- Impact of WIVERN Wind Observations on ARPEGE Numerical Weather Prediction Model Forecasts Using an Ensemble of Data Assimilation Method N. Sasso et al. 10.1002/qj.4991
- Assimilation of Moderate-Resolution Imaging Spectroradiometer Level Two Cloud Products for Typhoon Analysis and Prediction H. Zhang et al. 10.3390/rs17091635
- Increasing model vertical resolution may not necessarily lead to improved atmospheric predictability S. Moon et al. 10.1063/5.0081734
- Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment N. Fourrié et al. 10.5194/nhess-21-463-2021
- The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6 A. Caldas-Alvarez et al. 10.5194/wcd-2-561-2021
- 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
Latest update: 13 Oct 2025
Short summary
The potential of W-band radar reflectivity to improve the quality of analyses and forecasts of heavy precipitation events in the Mediterranean area is investigated. The 1D + 3DVar assimilation method has been adapted to assimilate the W-band reflectivity in the Météo-France kilometre-scale NWP model AROME. The results suggest that the joint assimilation of W-band reflectivity and horizontal wind profiles lead to a slight improvement of moisture analyses and rainfall precipitation forecasts.
The potential of W-band radar reflectivity to improve the quality of analyses and forecasts of...
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