Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes

International audience The Antarctic ice sheet mass balance is a major component of the sea level budget and results from the difference of two fluxes of a similar magnitude: ice flow discharging in the ocean and net snow accumulation on the ice sheet surface, i.e. the surface mass balance (SMB). Se...

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Published in:The Cryosphere
Main Authors: Agosta, Cécile, Amory, Charles, Kittel, Christoph, Orsi, Anais, Favier, Vincent, Gallée, Hubert, van den Broeke, Michiel, Lenaerts, Jan, van Wessem, Jan Melchior, van de Berg, Willem Jan, Fettweis, Xavier
Other Authors: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Glaces et Continents, Climats et Isotopes Stables (GLACCIOS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Université de Liège, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Institute for Marine and Atmospheric Research Utrecht (IMAU), Universiteit Utrecht / Utrecht University Utrecht, ANR-16-CE01-0011,EAIIST,Projet International d'exploration de la calotte polaire de l'Antarctique de l'Est(2016)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2019
Subjects:
Online Access:https://hal.science/hal-02367150
https://hal.science/hal-02367150/document
https://hal.science/hal-02367150/file/tc2019Agosta281.pdf
https://doi.org/10.5194/tc-13-281-2019
id ftuniversailles:oai:HAL:hal-02367150v1
record_format openpolar
institution Open Polar
collection Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ
op_collection_id ftuniversailles
language English
topic [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
spellingShingle [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
Agosta, Cécile
Amory, Charles
Kittel, Christoph
Orsi, Anais
Favier, Vincent
Gallée, Hubert
van den Broeke, Michiel
Lenaerts, Jan
van Wessem, Jan Melchior
van de Berg, Willem Jan
Fettweis, Xavier
Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
topic_facet [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
description International audience The Antarctic ice sheet mass balance is a major component of the sea level budget and results from the difference of two fluxes of a similar magnitude: ice flow discharging in the ocean and net snow accumulation on the ice sheet surface, i.e. the surface mass balance (SMB). Separately modelling ice dynamics and SMB is the only way to project future trends. In addition, mass balance studies frequently use regional climate models (RCMs) outputs as an alternative to observed fields because SMB observations are particularly scarce on the ice sheet. Here we evaluate new simulations of the polar RCM MAR forced by three reanal-yses, ERA-Interim, JRA-55, and MERRA-2, for the period 1979-2015, and we compare MAR results to the last outputs of the RCM RACMO2 forced by ERA-Interim. We show that MAR and RACMO2 perform similarly well in simulating coast-to-plateau SMB gradients, and we find no significant differences in their simulated SMB when integrated over the ice sheet or its major basins. More importantly, we outline and quantify missing or underestimated processes in both RCMs. Along stake transects, we show that both models accumulate too much snow on crests, and not enough snow in valleys, as a result of drifting snow transport fluxes not included in MAR and probably underestimated in RACMO2 by a factor of 3. Our results tend to confirm that drifting snow transport and sublimation fluxes are much larger than previous model-based estimates and need to be better resolved and constrained in climate models. Sublimation of precipitating particles in low-level atmospheric layers is responsible for the significantly lower snowfall rates in MAR than in RACMO2 in katabatic channels at the ice sheet margins. Atmospheric sublimation in MAR represents 363 Gt yr −1 over the grounded ice sheet for the year 2015, which is 16 % of the simulated snowfall loaded at the ground. This estimate is consistent with a recent study based on precipitation radar observations and is more than twice as much as simulated ...
author2 Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Glaces et Continents, Climats et Isotopes Stables (GLACCIOS)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Université de Liège
Institut des Géosciences de l’Environnement (IGE)
Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )
Institute for Marine and Atmospheric Research Utrecht (IMAU)
Universiteit Utrecht / Utrecht University Utrecht
ANR-16-CE01-0011,EAIIST,Projet International d'exploration de la calotte polaire de l'Antarctique de l'Est(2016)
format Article in Journal/Newspaper
author Agosta, Cécile
Amory, Charles
Kittel, Christoph
Orsi, Anais
Favier, Vincent
Gallée, Hubert
van den Broeke, Michiel
Lenaerts, Jan
van Wessem, Jan Melchior
van de Berg, Willem Jan
Fettweis, Xavier
author_facet Agosta, Cécile
Amory, Charles
Kittel, Christoph
Orsi, Anais
Favier, Vincent
Gallée, Hubert
van den Broeke, Michiel
Lenaerts, Jan
van Wessem, Jan Melchior
van de Berg, Willem Jan
Fettweis, Xavier
author_sort Agosta, Cécile
title Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
title_short Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
title_full Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
title_fullStr Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
title_full_unstemmed Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
title_sort estimation of the antarctic surface mass balance using the regional climate model mar (1979–2015) and identification of dominant processes
publisher HAL CCSD
publishDate 2019
url https://hal.science/hal-02367150
https://hal.science/hal-02367150/document
https://hal.science/hal-02367150/file/tc2019Agosta281.pdf
https://doi.org/10.5194/tc-13-281-2019
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Antarctic
The Antarctic
Merra
geographic_facet Antarctic
The Antarctic
Merra
genre Antarc*
Antarctic
Ice Sheet
The Cryosphere
genre_facet Antarc*
Antarctic
Ice Sheet
The Cryosphere
op_source ISSN: 1994-0424
EISSN: 1994-0416
The Cryosphere
https://hal.science/hal-02367150
The Cryosphere, 2019, 13 (1), pp.281-296. ⟨10.5194/tc-13-281-2019⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-13-281-2019
hal-02367150
https://hal.science/hal-02367150
https://hal.science/hal-02367150/document
https://hal.science/hal-02367150/file/tc2019Agosta281.pdf
doi:10.5194/tc-13-281-2019
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/tc-13-281-2019
container_title The Cryosphere
container_volume 13
container_issue 1
container_start_page 281
op_container_end_page 296
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spelling ftuniversailles:oai:HAL:hal-02367150v1 2024-05-12T07:56:19+00:00 Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes Agosta, Cécile Amory, Charles Kittel, Christoph Orsi, Anais Favier, Vincent Gallée, Hubert van den Broeke, Michiel Lenaerts, Jan van Wessem, Jan Melchior van de Berg, Willem Jan Fettweis, Xavier Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Glaces et Continents, Climats et Isotopes Stables (GLACCIOS) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Université de Liège Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) Institute for Marine and Atmospheric Research Utrecht (IMAU) Universiteit Utrecht / Utrecht University Utrecht ANR-16-CE01-0011,EAIIST,Projet International d'exploration de la calotte polaire de l'Antarctique de l'Est(2016) 2019 https://hal.science/hal-02367150 https://hal.science/hal-02367150/document https://hal.science/hal-02367150/file/tc2019Agosta281.pdf https://doi.org/10.5194/tc-13-281-2019 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-13-281-2019 hal-02367150 https://hal.science/hal-02367150 https://hal.science/hal-02367150/document https://hal.science/hal-02367150/file/tc2019Agosta281.pdf doi:10.5194/tc-13-281-2019 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-02367150 The Cryosphere, 2019, 13 (1), pp.281-296. ⟨10.5194/tc-13-281-2019⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2019 ftuniversailles https://doi.org/10.5194/tc-13-281-2019 2024-04-18T00:27:07Z International audience The Antarctic ice sheet mass balance is a major component of the sea level budget and results from the difference of two fluxes of a similar magnitude: ice flow discharging in the ocean and net snow accumulation on the ice sheet surface, i.e. the surface mass balance (SMB). Separately modelling ice dynamics and SMB is the only way to project future trends. In addition, mass balance studies frequently use regional climate models (RCMs) outputs as an alternative to observed fields because SMB observations are particularly scarce on the ice sheet. Here we evaluate new simulations of the polar RCM MAR forced by three reanal-yses, ERA-Interim, JRA-55, and MERRA-2, for the period 1979-2015, and we compare MAR results to the last outputs of the RCM RACMO2 forced by ERA-Interim. We show that MAR and RACMO2 perform similarly well in simulating coast-to-plateau SMB gradients, and we find no significant differences in their simulated SMB when integrated over the ice sheet or its major basins. More importantly, we outline and quantify missing or underestimated processes in both RCMs. Along stake transects, we show that both models accumulate too much snow on crests, and not enough snow in valleys, as a result of drifting snow transport fluxes not included in MAR and probably underestimated in RACMO2 by a factor of 3. Our results tend to confirm that drifting snow transport and sublimation fluxes are much larger than previous model-based estimates and need to be better resolved and constrained in climate models. Sublimation of precipitating particles in low-level atmospheric layers is responsible for the significantly lower snowfall rates in MAR than in RACMO2 in katabatic channels at the ice sheet margins. Atmospheric sublimation in MAR represents 363 Gt yr −1 over the grounded ice sheet for the year 2015, which is 16 % of the simulated snowfall loaded at the ground. This estimate is consistent with a recent study based on precipitation radar observations and is more than twice as much as simulated ... Article in Journal/Newspaper Antarc* Antarctic Ice Sheet The Cryosphere Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Antarctic The Antarctic Merra ENVELOPE(12.615,12.615,65.816,65.816) The Cryosphere 13 1 281 296