GABLS4 intercomparison of snow models at Dome C in Antarctica
<p>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 re...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-06-01
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| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/16/2183/2022/tc-16-2183-2022.pdf |
| _version_ | 1818206939893465088 |
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| author | P. Le Moigne E. Bazile A. Cheng E. Dutra J. M. Edwards W. Maurel I. Sandu O. Traullé E. Vignon A. Zadra W. Zheng |
| author_facet | P. Le Moigne E. Bazile A. Cheng E. Dutra J. M. Edwards W. Maurel I. Sandu O. Traullé E. Vignon A. Zadra W. Zheng |
| author_sort | P. Le Moigne |
| collection | DOAJ |
| description | <p>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<span class="inline-formula"><sup>−2</sup></span>, 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.</p> |
| first_indexed | 2024-12-12T04:21:00Z |
| format | Article |
| id | doaj.art-4230199d19104751b30121a42da53ca3 |
| institution | Directory Open Access Journal |
| issn | 1994-0416 1994-0424 |
| language | English |
| last_indexed | 2024-12-12T04:21:00Z |
| publishDate | 2022-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The Cryosphere |
| spelling | doaj.art-4230199d19104751b30121a42da53ca32022-12-22T00:38:19ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242022-06-01162183220210.5194/tc-16-2183-2022GABLS4 intercomparison of snow models at Dome C in AntarcticaP. Le Moigne0E. Bazile1A. Cheng2E. Dutra3J. M. Edwards4W. Maurel5I. Sandu6O. Traullé7E. Vignon8A. Zadra9W. Zheng10CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, FranceCNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, FranceIMSG, Inc.@EMC/NCEP/NOAA, College Park, Maryland, USAInstituto Português do Mar e da Atmosfera, Lisbon, PortugalMet Office, FitzRoy Road, Exeter, UKCNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, FranceResearch department, European Centre for Medium-Range Weather Forecasts, Reading, UKDirection des Systèmes d'Observation, Météo-France, Toulouse, FranceLaboratoire de Météorologie Dynamique/IPSL/Sorbonne Université/CNRS, UMR 8539, Paris, FranceAtmospheric Numerical Weather Prediction Research Section, Environment and Climate Change Canada, Dorval, Quebec, CanadaIMSG, Inc.@EMC/NCEP/NOAA, College Park, Maryland, USA<p>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<span class="inline-formula"><sup>−2</sup></span>, 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.</p>https://tc.copernicus.org/articles/16/2183/2022/tc-16-2183-2022.pdf |
| spellingShingle | P. Le Moigne E. Bazile A. Cheng E. Dutra J. M. Edwards W. Maurel I. Sandu O. Traullé E. Vignon A. Zadra W. Zheng GABLS4 intercomparison of snow models at Dome C in Antarctica The Cryosphere |
| title | 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_short | GABLS4 intercomparison of snow models at Dome C in Antarctica |
| title_sort | gabls4 intercomparison of snow models at dome c in antarctica |
| url | https://tc.copernicus.org/articles/16/2183/2022/tc-16-2183-2022.pdf |
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