GABLS4 intercomparison of snow models at Dome C in Antarctica
International audience The Antarctic plateau, characterized by cold and dry weather conditions with very little precipitation, is mostly covered by snow at the surface. This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic re...
Published in: | The Cryosphere |
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Main Authors: | , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Online Access: | https://hal.science/hal-03693663 https://hal.science/hal-03693663/document https://hal.science/hal-03693663/file/tc-16-2183-2022.pdf https://doi.org/10.5194/tc-16-2183-2022 |
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HAL Sorbonne Université |
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language |
English |
topic |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Le Moigne, Patrick Bazile, Eric Cheng, Anning Dutra, Emanuel Edwards, John, M Maurel, William Sandu, Irina Traullé, Olivier Vignon, Etienne Zadra, Ayrton Zheng, Weizhong GABLS4 intercomparison of snow models at Dome C in Antarctica |
topic_facet |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience The Antarctic plateau, characterized by cold and dry weather conditions with very little precipitation, is mostly covered by snow at the surface. This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results of offline numerical simulations, carried out during 15 d in 2009, on a single site on the Antarctic plateau, show that the simplest models are able to reproduce the surface temperature as well as the most complex models provided that their surface parameters are well chosen. Furthermore, it is shown that the diversity of the surface parameters of the models strongly impacts the numerical simulations, in particular the temporal variability of the surface temperature and the components of the surface energy balance. The models tend to overestimate the surface temperature by 2–5 K at night and underestimate it by 2 K during the day. The observed and simulated turbulent latent heat fluxes are small, of the order of a few W m−2, with a tendency to underestimate, while the sensible heat fluxes are in general too intense at night as well as during the day. The surface temperature errors are consistent with too large a magnitude of sensible heat fluxes during the day and night. Finally, it is shown that the most complex multilayer models are able to reproduce well the propagation of the daily diurnal wave, and that the snow temperature profiles in the snowpack are very close to the measurements carried out on site. |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) NASA Langley Research Center Hampton (LaRC) Instituto Dom Luiz Universidade de Lisboa = University of Lisbon = Université de Lisbonne (ULISBOA) United Kingdom Met Office Exeter European Centre for Medium-Range Weather Forecasts (ECMWF) Météo-France Direction interrégionale Sud-Ouest (DIRSO) Météo-France 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) Environment and Climate Change Canada (ECCC) NCEP Environmental Modeling Center (EMC) NOAA National Centers for Environmental Prediction (NCEP) National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA) |
format |
Article in Journal/Newspaper |
author |
Le Moigne, Patrick Bazile, Eric Cheng, Anning Dutra, Emanuel Edwards, John, M Maurel, William Sandu, Irina Traullé, Olivier Vignon, Etienne Zadra, Ayrton Zheng, Weizhong |
author_facet |
Le Moigne, Patrick Bazile, Eric Cheng, Anning Dutra, Emanuel Edwards, John, M Maurel, William Sandu, Irina Traullé, Olivier Vignon, Etienne Zadra, Ayrton Zheng, Weizhong |
author_sort |
Le Moigne, Patrick |
title |
GABLS4 intercomparison of snow models at Dome C in Antarctica |
title_short |
GABLS4 intercomparison of snow models at Dome C in Antarctica |
title_full |
GABLS4 intercomparison of snow models at Dome C in Antarctica |
title_fullStr |
GABLS4 intercomparison of snow models at Dome C in Antarctica |
title_full_unstemmed |
GABLS4 intercomparison of snow models at Dome C in Antarctica |
title_sort |
gabls4 intercomparison of snow models at dome c in antarctica |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03693663 https://hal.science/hal-03693663/document https://hal.science/hal-03693663/file/tc-16-2183-2022.pdf https://doi.org/10.5194/tc-16-2183-2022 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica The Cryosphere |
genre_facet |
Antarc* Antarctic Antarctica The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03693663 The Cryosphere, 2022, 16 (6), pp.2183-2202. ⟨10.5194/tc-16-2183-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-2183-2022 hal-03693663 https://hal.science/hal-03693663 https://hal.science/hal-03693663/document https://hal.science/hal-03693663/file/tc-16-2183-2022.pdf doi:10.5194/tc-16-2183-2022 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-16-2183-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
6 |
container_start_page |
2183 |
op_container_end_page |
2202 |
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1802650252733317120 |
spelling |
ftsorbonneuniv:oai:HAL:hal-03693663v1 2024-06-23T07:47:02+00:00 GABLS4 intercomparison of snow models at Dome C in Antarctica Le Moigne, Patrick Bazile, Eric Cheng, Anning Dutra, Emanuel Edwards, John, M Maurel, William Sandu, Irina Traullé, Olivier Vignon, Etienne Zadra, Ayrton Zheng, Weizhong Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) NASA Langley Research Center Hampton (LaRC) Instituto Dom Luiz Universidade de Lisboa = University of Lisbon = Université de Lisbonne (ULISBOA) United Kingdom Met Office Exeter European Centre for Medium-Range Weather Forecasts (ECMWF) Météo-France Direction interrégionale Sud-Ouest (DIRSO) Météo-France 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) Environment and Climate Change Canada (ECCC) NCEP Environmental Modeling Center (EMC) NOAA National Centers for Environmental Prediction (NCEP) National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA) 2022-06-10 https://hal.science/hal-03693663 https://hal.science/hal-03693663/document https://hal.science/hal-03693663/file/tc-16-2183-2022.pdf https://doi.org/10.5194/tc-16-2183-2022 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-2183-2022 hal-03693663 https://hal.science/hal-03693663 https://hal.science/hal-03693663/document https://hal.science/hal-03693663/file/tc-16-2183-2022.pdf doi:10.5194/tc-16-2183-2022 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03693663 The Cryosphere, 2022, 16 (6), pp.2183-2202. ⟨10.5194/tc-16-2183-2022⟩ [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2022 ftsorbonneuniv https://doi.org/10.5194/tc-16-2183-2022 2024-05-30T23:45:16Z International audience The Antarctic plateau, characterized by cold and dry weather conditions with very little precipitation, is mostly covered by snow at the surface. This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results of offline numerical simulations, carried out during 15 d in 2009, on a single site on the Antarctic plateau, show that the simplest models are able to reproduce the surface temperature as well as the most complex models provided that their surface parameters are well chosen. Furthermore, it is shown that the diversity of the surface parameters of the models strongly impacts the numerical simulations, in particular the temporal variability of the surface temperature and the components of the surface energy balance. The models tend to overestimate the surface temperature by 2–5 K at night and underestimate it by 2 K during the day. The observed and simulated turbulent latent heat fluxes are small, of the order of a few W m−2, with a tendency to underestimate, while the sensible heat fluxes are in general too intense at night as well as during the day. The surface temperature errors are consistent with too large a magnitude of sensible heat fluxes during the day and night. Finally, it is shown that the most complex multilayer models are able to reproduce well the propagation of the daily diurnal wave, and that the snow temperature profiles in the snowpack are very close to the measurements carried out on site. Article in Journal/Newspaper Antarc* Antarctic Antarctica The Cryosphere HAL Sorbonne Université Antarctic The Antarctic The Cryosphere 16 6 2183 2202 |