The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique

The aim of this study is to derive a realistic estimation of the Surface Mass Balance (SMB) of the Greenland ice sheet (GrIS) through statistical downscaling of Global Coupled Model (GCM) outputs. To this end, climate simulations performed with the CNRM-CM5.1 Atmosphere-Ocean GCM within the CMIP5 (C...

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Main Authors: Geyer, M., Salas Y Melia, D., Brun, E., Dumont, M.
Format: Other/Unknown Material
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tcd-7-3163-2013
https://tc.copernicus.org/preprints/tc-2013-98/
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spelling ftcopernicus:oai:publications.copernicus.org:tcd20853 2023-05-15T16:28:30+02:00 The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique Geyer, M. Salas Y Melia, D. Brun, E. Dumont, M. 2018-09-26 info:eu-repo/semantics/application/pdf https://doi.org/10.5194/tcd-7-3163-2013 https://tc.copernicus.org/preprints/tc-2013-98/ eng eng info:eu-repo/grantAgreement/EC/FP7/226520 doi:10.5194/tcd-7-3163-2013 https://tc.copernicus.org/preprints/tc-2013-98/ info:eu-repo/semantics/openAccess eISSN: 1994-0424 info:eu-repo/semantics/Text 2018 ftcopernicus https://doi.org/10.5194/tcd-7-3163-2013 2020-07-20T16:25:27Z The aim of this study is to derive a realistic estimation of the Surface Mass Balance (SMB) of the Greenland ice sheet (GrIS) through statistical downscaling of Global Coupled Model (GCM) outputs. To this end, climate simulations performed with the CNRM-CM5.1 Atmosphere-Ocean GCM within the CMIP5 (Coupled Model Intercomparison Project phase 5) framework are used for the period 1850–2300. From the year 2006, two different emission scenarios are considered (RCP4.5 and RCP8.5). Simulations of SMB performed with the detailed snowpack model Crocus driven by CNRM-CM5.1 surface atmospheric forcings serve as a reference. On the basis of these simulations, statistical relationships between total precipitation, snow-ratio, snowmelt, sublimation and near-surface air temperature are established. This leads to the formulation of SMB variation as a function of temperature variation. Based on this function, a downscaling technique is proposed in order to refine 150 km horizontal resolution SMB output from CNRM-CM5.1 to a 15 km resolution grid. This leads to a much better estimation of SMB along the GrIS margins, where steep topography gradients are not correctly represented at low-resolution. For the recent past (1989–2008), the integrated SMB over the GrIS is respectively 309 and 243 Gt yr –1 for raw and downscaled CNRM-CM5.1. In comparison, the Crocus snowpack model forced with ERA-Interim yields a value of 245 Gt yr –1 . The major part of the remaining discrepancy between Crocus and downscaled CNRM-CM5.1 SMB is due to the different snow albedo representation. The difference between the raw and the downscaled SMB tends to increase with near-surface air temperature via an increase in snowmelt. Other/Unknown Material Greenland Ice Sheet Copernicus Publications: E-Journals Greenland
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The aim of this study is to derive a realistic estimation of the Surface Mass Balance (SMB) of the Greenland ice sheet (GrIS) through statistical downscaling of Global Coupled Model (GCM) outputs. To this end, climate simulations performed with the CNRM-CM5.1 Atmosphere-Ocean GCM within the CMIP5 (Coupled Model Intercomparison Project phase 5) framework are used for the period 1850–2300. From the year 2006, two different emission scenarios are considered (RCP4.5 and RCP8.5). Simulations of SMB performed with the detailed snowpack model Crocus driven by CNRM-CM5.1 surface atmospheric forcings serve as a reference. On the basis of these simulations, statistical relationships between total precipitation, snow-ratio, snowmelt, sublimation and near-surface air temperature are established. This leads to the formulation of SMB variation as a function of temperature variation. Based on this function, a downscaling technique is proposed in order to refine 150 km horizontal resolution SMB output from CNRM-CM5.1 to a 15 km resolution grid. This leads to a much better estimation of SMB along the GrIS margins, where steep topography gradients are not correctly represented at low-resolution. For the recent past (1989–2008), the integrated SMB over the GrIS is respectively 309 and 243 Gt yr –1 for raw and downscaled CNRM-CM5.1. In comparison, the Crocus snowpack model forced with ERA-Interim yields a value of 245 Gt yr –1 . The major part of the remaining discrepancy between Crocus and downscaled CNRM-CM5.1 SMB is due to the different snow albedo representation. The difference between the raw and the downscaled SMB tends to increase with near-surface air temperature via an increase in snowmelt.
format Other/Unknown Material
author Geyer, M.
Salas Y Melia, D.
Brun, E.
Dumont, M.
spellingShingle Geyer, M.
Salas Y Melia, D.
Brun, E.
Dumont, M.
The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
author_facet Geyer, M.
Salas Y Melia, D.
Brun, E.
Dumont, M.
author_sort Geyer, M.
title The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
title_short The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
title_full The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
title_fullStr The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
title_full_unstemmed The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
title_sort greenland ice sheet: modelling the surface mass balance from gcm output with a new statistical downscaling technique
publishDate 2018
url https://doi.org/10.5194/tcd-7-3163-2013
https://tc.copernicus.org/preprints/tc-2013-98/
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_source eISSN: 1994-0424
op_relation info:eu-repo/grantAgreement/EC/FP7/226520
doi:10.5194/tcd-7-3163-2013
https://tc.copernicus.org/preprints/tc-2013-98/
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tcd-7-3163-2013
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