Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance

peer reviewed The surface mass balance (SMB) of the Antarctic Ice Sheet cannot be reliably deduced from global climate models (GCMs), both because their spatial resolution is insufficient and because their physics are not adapted for cold and snow-covered regions. By contrast, regional climate model...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: Agosta, Cécile, Fettweis, Xavier, Datta, Rajashree
Format: Article in Journal/Newspaper
Language:unknown
Published: Copernicus 2015
Subjects:
Online Access:https://orbi.uliege.be/handle/2268/182866
https://orbi.uliege.be/bitstream/2268/182866/1/tc-9-2311-2015.pdf
https://doi.org/10.5194/tc-9-2311-2015
id ftorbi:oai:orbi.ulg.ac.be:2268/182866
record_format openpolar
spelling ftorbi:oai:orbi.ulg.ac.be:2268/182866 2024-04-21T07:51:37+00:00 Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance Agosta, Cécile Fettweis, Xavier Datta, Rajashree 2015 https://orbi.uliege.be/handle/2268/182866 https://orbi.uliege.be/bitstream/2268/182866/1/tc-9-2311-2015.pdf https://doi.org/10.5194/tc-9-2311-2015 unknown Copernicus http://www.the-cryosphere.net/9/2311/2015/ urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/182866 info:hdl:2268/182866 https://orbi.uliege.be/bitstream/2268/182866/1/tc-9-2311-2015.pdf doi:10.5194/tc-9-2311-2015 scopus-id:2-s2.0-84949183463 open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess The Cryosphere, 9, 2311-2321 (2015) Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2015 ftorbi https://doi.org/10.5194/tc-9-2311-2015 2024-03-27T14:58:15Z peer reviewed The surface mass balance (SMB) of the Antarctic Ice Sheet cannot be reliably deduced from global climate models (GCMs), both because their spatial resolution is insufficient and because their physics are not adapted for cold and snow-covered regions. By contrast, regional climate models (RCMs) adapted for polar regions can physically and dynamically downscale SMB components over the ice sheet using large-scale forcing at their boundaries. Polar-oriented RCMs require appropriate GCM fields for forcing because the response of the cryosphere to a warming climate is dependent on its initial state and is not linear with respect to temperature increase. In this context, we evaluate the current climate in 41 climate models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) data set over Antarctica by focusing on forcing fields which may have the greatest impact on SMB components simulated by RCMs. Our inter-comparison includes six reanalyses, among which ERA-Interim reanalysis is chosen as a reference over 1979–2014. Model efficiency is assessed taking into account the multi-decadal variability of the fields over the 1850–1980 period. We show that fewer than 10 CMIP5 models show reasonable biases compared to ERA-Interim, among which ACCESS1-3 is the most pertinent choice for forcing RCMs over Antarctica, followed by ACCESS1-0, CESM1-BGC, CESM1-CAM5, NorESM1-M, CCSM4 and EC-EARTH. Finally, climate change over the Southern Ocean in CMIP5 is less sensitive to the global warming signal than it is to the present-day simulated sea-ice extent and to the feedback between sea-ice decrease and air temperature increase around Antarctica. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Sea ice Southern Ocean The Cryosphere University of Liège: ORBi (Open Repository and Bibliography) The Cryosphere 9 6 2311 2321
institution Open Polar
collection University of Liège: ORBi (Open Repository and Bibliography)
op_collection_id ftorbi
language unknown
topic Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
spellingShingle Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
Agosta, Cécile
Fettweis, Xavier
Datta, Rajashree
Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance
topic_facet Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
description peer reviewed The surface mass balance (SMB) of the Antarctic Ice Sheet cannot be reliably deduced from global climate models (GCMs), both because their spatial resolution is insufficient and because their physics are not adapted for cold and snow-covered regions. By contrast, regional climate models (RCMs) adapted for polar regions can physically and dynamically downscale SMB components over the ice sheet using large-scale forcing at their boundaries. Polar-oriented RCMs require appropriate GCM fields for forcing because the response of the cryosphere to a warming climate is dependent on its initial state and is not linear with respect to temperature increase. In this context, we evaluate the current climate in 41 climate models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) data set over Antarctica by focusing on forcing fields which may have the greatest impact on SMB components simulated by RCMs. Our inter-comparison includes six reanalyses, among which ERA-Interim reanalysis is chosen as a reference over 1979–2014. Model efficiency is assessed taking into account the multi-decadal variability of the fields over the 1850–1980 period. We show that fewer than 10 CMIP5 models show reasonable biases compared to ERA-Interim, among which ACCESS1-3 is the most pertinent choice for forcing RCMs over Antarctica, followed by ACCESS1-0, CESM1-BGC, CESM1-CAM5, NorESM1-M, CCSM4 and EC-EARTH. Finally, climate change over the Southern Ocean in CMIP5 is less sensitive to the global warming signal than it is to the present-day simulated sea-ice extent and to the feedback between sea-ice decrease and air temperature increase around Antarctica.
format Article in Journal/Newspaper
author Agosta, Cécile
Fettweis, Xavier
Datta, Rajashree
author_facet Agosta, Cécile
Fettweis, Xavier
Datta, Rajashree
author_sort Agosta, Cécile
title Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance
title_short Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance
title_full Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance
title_fullStr Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance
title_full_unstemmed Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance
title_sort evaluation of the cmip5 models in the aim of regional modelling of the antarctic surface mass balance
publisher Copernicus
publishDate 2015
url https://orbi.uliege.be/handle/2268/182866
https://orbi.uliege.be/bitstream/2268/182866/1/tc-9-2311-2015.pdf
https://doi.org/10.5194/tc-9-2311-2015
genre Antarc*
Antarctic
Antarctica
Ice Sheet
Sea ice
Southern Ocean
The Cryosphere
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
Sea ice
Southern Ocean
The Cryosphere
op_source The Cryosphere, 9, 2311-2321 (2015)
op_relation http://www.the-cryosphere.net/9/2311/2015/
urn:issn:1994-0416
urn:issn:1994-0424
https://orbi.uliege.be/handle/2268/182866
info:hdl:2268/182866
https://orbi.uliege.be/bitstream/2268/182866/1/tc-9-2311-2015.pdf
doi:10.5194/tc-9-2311-2015
scopus-id:2-s2.0-84949183463
op_rights open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-9-2311-2015
container_title The Cryosphere
container_volume 9
container_issue 6
container_start_page 2311
op_container_end_page 2321
_version_ 1796934956135481344