Articles | Volume 13, issue 3
https://doi.org/10.5194/tc-13-943-2019
© 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/tc-13-943-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of CloudSat snowfall rate profiles by a comparison with in situ micro-rain radar observations in East Antarctica
Florentin Lemonnier
CORRESPONDING AUTHOR
Laboratoire de Météorologie dynamique, Sorbonne Université, École normale supérieure, PSL Research University, École polytechnique, CNRS, LMD/IPSL, 75005 Paris, France
Jean-Baptiste Madeleine
Laboratoire de Météorologie dynamique, Sorbonne Université, École normale supérieure, PSL Research University, École polytechnique, CNRS, LMD/IPSL, 75005 Paris, France
Chantal Claud
Laboratoire de Météorologie dynamique, Sorbonne Université, École normale supérieure, PSL Research University, École polytechnique, CNRS, LMD/IPSL, 75005 Paris, France
Christophe Genthon
Laboratoire de Météorologie dynamique, Sorbonne Université, École normale supérieure, PSL Research University, École polytechnique, CNRS, LMD/IPSL, 75005 Paris, France
Claudio Durán-Alarcón
CNRS, Institut des Géosciences de l'Environnement, Université Grenoble Alpes, Grenoble, France
Cyril Palerme
Development Centre for Weather Forecasting, Norwegian Meteorological Institute, Oslo, Norway
Alexis Berne
Environmental Remote Sensing Laboratory, Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering,
École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Niels Souverijns
Department of Earth and Environmental Sciences, KU Leuven – University of Leuven, Heverlee, Belgium
Nicole van Lipzig
Department of Earth and Environmental Sciences, KU Leuven – University of Leuven, Heverlee, Belgium
Irina V. Gorodetskaya
Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
Tristan L'Ecuyer
Centre for Environmental and Marine Studies, Department of Physics, University of Aveiro, Aveiro, Portugal
Norman Wood
Centre for Environmental and Marine Studies, Department of Physics, University of Aveiro, Aveiro, Portugal
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Cited
20 citations as recorded by crossref.
- Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica A. Ferrone & A. Berne 10.5194/essd-15-1115-2023
- How much snow falls in the world's mountains? A first look at mountain snowfall estimates in A-train observations and reanalyses A. Daloz et al. 10.5194/tc-14-3195-2020
- DeepPrecip: a deep neural network for precipitation retrievals F. King et al. 10.5194/amt-15-6035-2022
- A Centimeter-Wavelength Snowfall Retrieval Algorithm Using Machine Learning F. King et al. 10.1175/JAMC-D-22-0036.1
- Arctic Snowfall from CloudSat Observations and Reanalyses L. Edel et al. 10.1175/JCLI-D-19-0105.1
- Brief communication: Evaluating Antarctic precipitation in ERA5 and CMIP6 against CloudSat observations M. Roussel et al. 10.5194/tc-14-2715-2020
- Intercomparison of Precipitation Estimates over the Southern Ocean from Atmospheric Reanalyses L. Boisvert et al. 10.1175/JCLI-D-20-0044.1
- A 7-year record of vertical profiles of radar measurements and precipitation estimates at Dumont d'Urville, Adélie Land, East Antarctica V. Wiener et al. 10.5194/essd-16-821-2024
- Evaluation of coastal Antarctic precipitation in LMDz6 global atmospheric model using ground-based radar observations F. Lemonnier et al. 10.30758/0555-2648-2021-67-2-147-164
- A statistical study of precipitation on the eastern antarctic plateau (Dome-C) using remote sensing and in-situ instrumentation M. Del Guasta et al. 10.1016/j.polar.2024.101106
- CloudSat‐Inferred Vertical Structure of Snowfall Over the Antarctic Continent F. Lemonnier et al. 10.1029/2019JD031399
- Remote and autonomous measurements of precipitation for the northwestern Ross Ice Shelf, Antarctica M. Seefeldt et al. 10.5194/essd-13-5803-2021
- Multi-year evaluation of CloudSat, ERA5, and IMERG global snowfall products Q. Ji et al. 10.1016/j.jhydrol.2024.131500
- Evaluation of Synoptic Snowfall on the Antarctic Ice Sheet Based on CloudSat, In-Situ Observations and Atmospheric Reanalysis Datasets Y. Liu et al. 10.3390/rs11141686
- Microphysics of Snowfall Over Coastal East Antarctica Simulated by Polar WRF and Observed by Radar É. Vignon et al. 10.1029/2019JD031028
- Characterization of snowfall estimated by in situ and ground-based remote-sensing observations at Terra Nova Bay, Victoria Land, Antarctica C. Scarchilli et al. 10.1017/jog.2020.70
- Snowfall distribution and its response to the Arctic Oscillation: an evaluation of HighResMIP models in the Arctic using CPR/CloudSat observations M. Thomas et al. 10.5194/gmd-12-3759-2019
- Evaluation of CloudSat's Cloud‐Profiling Radar for Mapping Snowfall Rates Across the Greenland Ice Sheet J. Ryan et al. 10.1029/2019JD031411
- Observation of the process of snow accumulation on the Antarctic Plateau by time lapse laser scanning G. Picard et al. 10.5194/tc-13-1983-2019
- The vertical structure of precipitation at two stations in East Antarctica derived from micro rain radars C. Durán-Alarcón et al. 10.5194/tc-13-247-2019
19 citations as recorded by crossref.
- Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica A. Ferrone & A. Berne 10.5194/essd-15-1115-2023
- How much snow falls in the world's mountains? A first look at mountain snowfall estimates in A-train observations and reanalyses A. Daloz et al. 10.5194/tc-14-3195-2020
- DeepPrecip: a deep neural network for precipitation retrievals F. King et al. 10.5194/amt-15-6035-2022
- A Centimeter-Wavelength Snowfall Retrieval Algorithm Using Machine Learning F. King et al. 10.1175/JAMC-D-22-0036.1
- Arctic Snowfall from CloudSat Observations and Reanalyses L. Edel et al. 10.1175/JCLI-D-19-0105.1
- Brief communication: Evaluating Antarctic precipitation in ERA5 and CMIP6 against CloudSat observations M. Roussel et al. 10.5194/tc-14-2715-2020
- Intercomparison of Precipitation Estimates over the Southern Ocean from Atmospheric Reanalyses L. Boisvert et al. 10.1175/JCLI-D-20-0044.1
- A 7-year record of vertical profiles of radar measurements and precipitation estimates at Dumont d'Urville, Adélie Land, East Antarctica V. Wiener et al. 10.5194/essd-16-821-2024
- Evaluation of coastal Antarctic precipitation in LMDz6 global atmospheric model using ground-based radar observations F. Lemonnier et al. 10.30758/0555-2648-2021-67-2-147-164
- A statistical study of precipitation on the eastern antarctic plateau (Dome-C) using remote sensing and in-situ instrumentation M. Del Guasta et al. 10.1016/j.polar.2024.101106
- CloudSat‐Inferred Vertical Structure of Snowfall Over the Antarctic Continent F. Lemonnier et al. 10.1029/2019JD031399
- Remote and autonomous measurements of precipitation for the northwestern Ross Ice Shelf, Antarctica M. Seefeldt et al. 10.5194/essd-13-5803-2021
- Multi-year evaluation of CloudSat, ERA5, and IMERG global snowfall products Q. Ji et al. 10.1016/j.jhydrol.2024.131500
- Evaluation of Synoptic Snowfall on the Antarctic Ice Sheet Based on CloudSat, In-Situ Observations and Atmospheric Reanalysis Datasets Y. Liu et al. 10.3390/rs11141686
- Microphysics of Snowfall Over Coastal East Antarctica Simulated by Polar WRF and Observed by Radar É. Vignon et al. 10.1029/2019JD031028
- Characterization of snowfall estimated by in situ and ground-based remote-sensing observations at Terra Nova Bay, Victoria Land, Antarctica C. Scarchilli et al. 10.1017/jog.2020.70
- Snowfall distribution and its response to the Arctic Oscillation: an evaluation of HighResMIP models in the Arctic using CPR/CloudSat observations M. Thomas et al. 10.5194/gmd-12-3759-2019
- Evaluation of CloudSat's Cloud‐Profiling Radar for Mapping Snowfall Rates Across the Greenland Ice Sheet J. Ryan et al. 10.1029/2019JD031411
- Observation of the process of snow accumulation on the Antarctic Plateau by time lapse laser scanning G. Picard et al. 10.5194/tc-13-1983-2019
Discussed (preprint)
Latest update: 14 Dec 2024
Short summary
Evaluation of the vertical precipitation rate profiles of CloudSat radar by comparison with two surface-based micro-rain radars (MRR) located at two antarctic stations gives a near-perfect correlation between both datasets, even though climatic and geographic conditions are different for the stations. A better understanding and reassessment of CloudSat uncertainties ranging from −13 % up to +22 % confirms the robustness of the CloudSat retrievals of snowfall over Antarctica.
Evaluation of the vertical precipitation rate profiles of CloudSat radar by comparison with two...