Highlights on key polar processes driving the Antarctic surface mass balance

Abstract: Ice sheet mass balance results of the small imbalance between ice flow discharging in the ocean and net snow accumulation on the ice sheet surface, i.e. the surface mass balance (SMB). Past change in ice sheet mass can be assessed using satellite altimetry, gravimetry, or the input-output...

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Main Authors: Cécile Agosta, Christoph Kittel, Charles Amory, Xavier Fettweis
Format: Conference Object
Language:unknown
Published: 2019
Subjects:
Online Access:https://zenodo.org/record/4327066
https://doi.org/10.5281/zenodo.4327066
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:4327066 2023-05-15T13:34:31+02:00 Highlights on key polar processes driving the Antarctic surface mass balance Cécile Agosta Christoph Kittel Charles Amory Xavier Fettweis 2019-12-11 https://zenodo.org/record/4327066 https://doi.org/10.5281/zenodo.4327066 unknown doi:10.5281/zenodo.4327065 https://zenodo.org/record/4327066 https://doi.org/10.5281/zenodo.4327066 oai:zenodo.org:4327066 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Antarctic Surface mass balance info:eu-repo/semantics/lecture presentation 2019 ftzenodo https://doi.org/10.5281/zenodo.432706610.5281/zenodo.4327065 2023-03-11T04:10:27Z Abstract: Ice sheet mass balance results of the small imbalance between ice flow discharging in the ocean and net snow accumulation on the ice sheet surface, i.e. the surface mass balance (SMB). Past change in ice sheet mass can be assessed using satellite altimetry, gravimetry, or the input-output method, which all request SMB estimates.The input-output method, which consists in separately modeling ice dynamics and SMB, is also the only way to project future trends. Here we use the polar-oriented regional climate model MAR to estimate the Antarctic SMB for the period 1979-2018 using forcing from 7 reanalyses: ERA-5, ERA-Interim, JRA-55, MERRA2, NCEP1, NCEP2, and 20CRv2. We show that spatial patterns of SMB modeled by the reanalyses diverge significantly between each-other, whereas the spread is insignificant after downscaling with MAR. SMB modeled with MAR is markedly closer to observations than the original reanalyses outputs. Divergences in SMB between reanalyses and MAR are driven by divergences in snowfall amounts, which are explained by processes related to clouds and precipitation in the atmosphere (notably cloud-precipitation conversion, precipitation advection and precipitation sublimation) rather than by model resolution. The temporal variability of downscaled SMB is however strongly related to the forcing reanalysis variability. This study emphasis the importance of polar-specific processes and of their implementation in climate models, particularly in view of atmosphere-ice sheet coupling. Conference Object Antarc* Antarctic Ice Sheet Zenodo Antarctic The Antarctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Antarctic
Surface mass balance
spellingShingle Antarctic
Surface mass balance
Cécile Agosta
Christoph Kittel
Charles Amory
Xavier Fettweis
Highlights on key polar processes driving the Antarctic surface mass balance
topic_facet Antarctic
Surface mass balance
description Abstract: Ice sheet mass balance results of the small imbalance between ice flow discharging in the ocean and net snow accumulation on the ice sheet surface, i.e. the surface mass balance (SMB). Past change in ice sheet mass can be assessed using satellite altimetry, gravimetry, or the input-output method, which all request SMB estimates.The input-output method, which consists in separately modeling ice dynamics and SMB, is also the only way to project future trends. Here we use the polar-oriented regional climate model MAR to estimate the Antarctic SMB for the period 1979-2018 using forcing from 7 reanalyses: ERA-5, ERA-Interim, JRA-55, MERRA2, NCEP1, NCEP2, and 20CRv2. We show that spatial patterns of SMB modeled by the reanalyses diverge significantly between each-other, whereas the spread is insignificant after downscaling with MAR. SMB modeled with MAR is markedly closer to observations than the original reanalyses outputs. Divergences in SMB between reanalyses and MAR are driven by divergences in snowfall amounts, which are explained by processes related to clouds and precipitation in the atmosphere (notably cloud-precipitation conversion, precipitation advection and precipitation sublimation) rather than by model resolution. The temporal variability of downscaled SMB is however strongly related to the forcing reanalysis variability. This study emphasis the importance of polar-specific processes and of their implementation in climate models, particularly in view of atmosphere-ice sheet coupling.
format Conference Object
author Cécile Agosta
Christoph Kittel
Charles Amory
Xavier Fettweis
author_facet Cécile Agosta
Christoph Kittel
Charles Amory
Xavier Fettweis
author_sort Cécile Agosta
title Highlights on key polar processes driving the Antarctic surface mass balance
title_short Highlights on key polar processes driving the Antarctic surface mass balance
title_full Highlights on key polar processes driving the Antarctic surface mass balance
title_fullStr Highlights on key polar processes driving the Antarctic surface mass balance
title_full_unstemmed Highlights on key polar processes driving the Antarctic surface mass balance
title_sort highlights on key polar processes driving the antarctic surface mass balance
publishDate 2019
url https://zenodo.org/record/4327066
https://doi.org/10.5281/zenodo.4327066
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_relation doi:10.5281/zenodo.4327065
https://zenodo.org/record/4327066
https://doi.org/10.5281/zenodo.4327066
oai:zenodo.org:4327066
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.432706610.5281/zenodo.4327065
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