GABLS4 intercomparison of snow models at Dome C in Antarctica
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...
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ftcopernicus:oai:publications.copernicus.org:tc100592 2023-05-15T14:02:18+02:00 GABLS4 intercomparison of snow models at Dome C in Antarctica Moigne, Patrick Bazile, Eric Cheng, Anning Dutra, Emanuel Edwards, John M. Maurel, William Sandu, Irina Traullé, Olivier Vignon, Etienne Zadra, Ayrton Zheng, Weizhong 2022-06-10 application/pdf https://doi.org/10.5194/tc-16-2183-2022 https://tc.copernicus.org/articles/16/2183/2022/ eng eng doi:10.5194/tc-16-2183-2022 https://tc.copernicus.org/articles/16/2183/2022/ eISSN: 1994-0424 Text 2022 ftcopernicus https://doi.org/10.5194/tc-16-2183-2022 2022-06-13T16:22:43Z 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. Text Antarc* Antarctic Antarctica Copernicus Publications: E-Journals Antarctic The Antarctic The Cryosphere 16 6 2183 2202 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
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. |
format |
Text |
author |
Moigne, Patrick Bazile, Eric Cheng, Anning Dutra, Emanuel Edwards, John M. Maurel, William Sandu, Irina Traullé, Olivier Vignon, Etienne Zadra, Ayrton Zheng, Weizhong |
spellingShingle |
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 |
author_facet |
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 |
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 |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-2183-2022 https://tc.copernicus.org/articles/16/2183/2022/ |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-16-2183-2022 https://tc.copernicus.org/articles/16/2183/2022/ |
op_doi |
https://doi.org/10.5194/tc-16-2183-2022 |
container_title |
The Cryosphere |
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16 |
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6 |
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2183 |
op_container_end_page |
2202 |
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1766272501704294400 |