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

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...

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Published in:The Cryosphere
Main Authors: Agosta, Cécile, Amory, Charles, Kittel, Christoph, Orsi, Anais, Favier, Vincent, Gallée, Hubert, Broeke, Michiel R., Lenaerts, Jan T. M., Wessem, Jan Melchior, Berg, Willem Jan, Fettweis, Xavier
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/tc-13-281-2019
https://tc.copernicus.org/articles/13/281/2019/
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spelling ftcopernicus:oai:publications.copernicus.org:tc67856 2023-05-15T13:55:28+02:00 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 Broeke, Michiel R. Lenaerts, Jan T. M. Wessem, Jan Melchior Berg, Willem Jan Fettweis, Xavier 2019-01-29 application/pdf https://doi.org/10.5194/tc-13-281-2019 https://tc.copernicus.org/articles/13/281/2019/ eng eng doi:10.5194/tc-13-281-2019 https://tc.copernicus.org/articles/13/281/2019/ eISSN: 1994-0424 Text 2019 ftcopernicus https://doi.org/10.5194/tc-13-281-2019 2020-07-20T16:22:58Z 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 reanalyses, 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 in RACMO2 because of different time residence of precipitating particles in the atmosphere. The remaining spatial differences in snowfall between MAR and RACMO2 are attributed to differences in advection of precipitation with snowfall particles being likely advected too far inland in MAR. Text Antarc* Antarctic Ice Sheet Copernicus Publications: E-Journals Antarctic Merra ENVELOPE(12.615,12.615,65.816,65.816) The Antarctic The Cryosphere 13 1 281 296
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description 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 reanalyses, 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 in RACMO2 because of different time residence of precipitating particles in the atmosphere. The remaining spatial differences in snowfall between MAR and RACMO2 are attributed to differences in advection of precipitation with snowfall particles being likely advected too far inland in MAR.
format Text
author Agosta, Cécile
Amory, Charles
Kittel, Christoph
Orsi, Anais
Favier, Vincent
Gallée, Hubert
Broeke, Michiel R.
Lenaerts, Jan T. M.
Wessem, Jan Melchior
Berg, Willem Jan
Fettweis, Xavier
spellingShingle Agosta, Cécile
Amory, Charles
Kittel, Christoph
Orsi, Anais
Favier, Vincent
Gallée, Hubert
Broeke, Michiel R.
Lenaerts, Jan T. M.
Wessem, Jan Melchior
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
author_facet Agosta, Cécile
Amory, Charles
Kittel, Christoph
Orsi, Anais
Favier, Vincent
Gallée, Hubert
Broeke, Michiel R.
Lenaerts, Jan T. M.
Wessem, Jan Melchior
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
publishDate 2019
url https://doi.org/10.5194/tc-13-281-2019
https://tc.copernicus.org/articles/13/281/2019/
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Antarctic
Merra
The Antarctic
geographic_facet Antarctic
Merra
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-13-281-2019
https://tc.copernicus.org/articles/13/281/2019/
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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