Preprints
https://doi.org/10.5194/tc-2020-167
https://doi.org/10.5194/tc-2020-167

  26 Aug 2020

26 Aug 2020

Review status: this discussion paper is a preprint. It has been under review for the journal The Cryosphere (TC). The manuscript was not accepted for further review after discussion.

Evaluation of coastal Antarctic precipitation in MAR3.9 regional and LMDz6 global atmospheric model with ground-based radar observations

Florentin Lemonnier1, Alizée Chemison2, Hubert Gallée3, Gerhard Krinner3, Jean-Baptiste Madeleine1, Chantal Claud1, and Christophe Genthon1 Florentin Lemonnier et al.
  • 1Sorbonne Université, École normale supérieure, PSL Research University, École polytechnique, CNRS, Laboratoire de Météorologie dynamique, LMD/IPSL, 75005 Paris, France
  • 2Laboratoire des Sciences du Climat et de l’Environnement, CNRS-CEA-UVSQ – UMR8212, CE Saclay, France
  • 3Université Grenoble Alpes, CNRS, Institut des Géosciences de l’Environnement, Grenoble, France

Abstract. In the current context of climate change in the poles, one of the objectives of the APRES3 (Antarctic Precipitation Remote Sensing from Surface and Space) project is to characterize the vertical structure of precipitation in order to better simulate it. Nowadays, the precipitation simulated by models in Antarctica is very widespread and overestimated the data. Sensitivity studies have been conducted using two models and compared to the observations obtained at the Dumont d'Urville coast station, obtained by a Micro Rain Radar (MRR). The MAR meso-scale model specifically developed for the polar regions and the LMDz/IPSL general circulation model, with zoomed configuration over Dumont d'Urville, have been considered for this study. These models being different in resolution and physical configuration, performing an inter-comparison required numerical, dynamic and physical adjustments in LMDz. A sensitivity study was conducted on the physical and numerical parameters of the LMDz model and on the resolution of the MAR with the aim of estimating their contribution to the precipitation simulation. Sensitivity tests with MAR revealed that this model is well adjusted for precipitation modeling in polar climates, this confirming that this model is a reference in polar climate modeling. Regarding LMDz, sensitivity experiments revealed that modifications in the sedimentation and sublimation parameters do not significantly impact precipitation rate. However, dissipation of the LMDz model, which is a numerical process that dissipates spatially excessive energy and keeps the model stable, impacts precipitation indirectly but very strongly. A suitable adjustment of the dissipation reduces significantly precipitation over Antarctic peripheral area, thus providing a simulated profile in better agreement with the MRR observations.

Florentin Lemonnier et al.

 
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Florentin Lemonnier et al.

Data sets

Snowfall rate estimates derived from a micro rain radar (MRR) at the Dumont d'Urville station, Adelie Land, East Antarctica, link to netCDF file Alexis Berne, Jacopo Grazioli, and Christophe Genthon https://doi.org/10.1594/PANGAEA.882565

Evaluation of coastal Antarctic precipitation in MAR3.9 regional and LMDz6 global atmospheric model with ground-based radar observations Florentin Lemonnier, Alizée Chemison, Hubert Gallée, Gerhard Krinner, Jean-Baptiste Madeleine, Chantal Claud, and Christophe Genthon https://doi.pangaea.de/10.1594/PANGAEA.917641

Florentin Lemonnier et al.

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Short summary
This study presents the first evaluation from snowfall observations in Antarctica of the general circulation model LMDz (global), the atmospheric component of the coupled IPSL Climate Model that is part of CMIP6 (IPCC). We also present an evaluation of the new version of the MAR model (regional), considered as a reference in terms of polar climate modelling. Both models show satisfying results for the modelling of precipitation in Antarctica.