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...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: Moigne, Patrick, Bazile, Eric, Cheng, Anning, Dutra, Emanuel, Edwards, John M., Maurel, William, Sandu, Irina, Traullé, Olivier, Vignon, Etienne, Zadra, Ayrton, Zheng, Weizhong
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-2183-2022
https://tc.copernicus.org/articles/16/2183/2022/
id ftcopernicus:oai:publications.copernicus.org:tc100592
record_format openpolar
spelling 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
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id 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
container_volume 16
container_issue 6
container_start_page 2183
op_container_end_page 2202
_version_ 1766272501704294400