Evaluation of CloudSat snowfall rate profiles by a comparison with in situ micro-rain radar observations in East Antarctica

• Published in: The Cryosphere
• Main Authors: Lemonnier, Florentin, Madeleine, Jean-Baptiste, Claud, Chantal, Genthon, Christophe, Duran-Alarcon, Claudio, Palerme, Cyril, Berne, Alexis, Souverijns, Niels, van Lipzig, Nicole, Gorodetskaya, Irina, V, L'Ecuyer, Tristan, Wood, Norman
• Other Authors: Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Norwegian Meteorological Institute Oslo (MET), Ecole Polytechnique Fédérale de Lausanne (EPFL), Catholic University of Leuven = Katholieke Universiteit Leuven (KU Leuven), University of Wisconsin-Madison, Universidade de Aveiro
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2019
• Subjects: [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology; Antarctic; The Antarctic; East Antarctica; Dronning Maud Land; Dumont d'Urville; Dumont-d'Urville; Dumont d'Urville Station; Antarc*; Antarctica; Ice Sheet; The Cryosphere
• Online Access: https://hal.sorbonne-universite.fr/hal-02087132; https://hal.sorbonne-universite.fr/hal-02087132/document; https://hal.sorbonne-universite.fr/hal-02087132/file/tc-13-943-2019.pdf; https://doi.org/10.5194/tc-13-943-2019

International audience The Antarctic continent is a vast desert and is the coldest and the most unknown area on Earth. It contains the Antarctic ice sheet, the largest continental water reservoir on Earth that could be affected by the current global warming, leading to sea level rise. The only significant supply of ice is through precipitation, which can be observed from the surface and from space. Remote-sensing observations of the coastal regions and the inner continent using CloudSat radar give an estimated rate of snowfall but with uncertainties twice as large as each single measured value, whereas climate models give a range from half to twice the space–time-averaged observations. The aim of this study is the evaluation of the vertical precipitation rate profiles of CloudSat radar by comparison with two surface-based micro-rain radars (MRRs), located at the coastal French Dumont d'Urville station and at the Belgian Princess Elisabeth station located in the Dronning Maud Land escarpment zone. This in turn leads to a better understanding and reassessment of CloudSat uncertainties. We compared a total of four precipitation events, two per station, when CloudSat overpassed within 10 km of the station and we compared these two different datasets at each vertical level. The correlation between both datasets is near-perfect, even though climatic and geographic conditions are different for the two stations. Using different CloudSat and MRR vertical levels, we obtain 10 km space-scale and short-timescale (a few seconds) CloudSat uncertainties from −13 % up to +22 %. This confirms the robustness of the CloudSat retrievals of snowfall over Antarctica above the blind zone and justifies further analyses of this dataset.