Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
Abstract: The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water...
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dataone:http://get.iedadata.org/metadata/iso/600166 2024-10-03T18:45:37+00:00 Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs Reusch, David BEGINDATE: 2011-04-15T00:00:00Z ENDDATE: 2015-03-31T00:00:00Z 2016-01-01T00:00:00Z http://get.iedadata.org/metadata/iso/600166 unknown IEDA: US Antarctic Program Data Center Climate Model Surface Melt Antarctic Ocean and Atmospheric Sciences Meteorology Antarctica Atmosphere Cryosphere US Antarctic Program Data Center (USAP-DC) Dataset 2016 dataone:urn:node:IEDA_USAP 2024-10-03T18:12:02Z Abstract: The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes. Using contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change. The previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here. Dataset Antarc* Antarctic Antarctic Ocean Antarctica Ice Sheet IEDA: US Antarctic Program Data Center (via DataONE) Antarctic Antarctic Ocean |
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Open Polar |
collection |
IEDA: US Antarctic Program Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:IEDA_USAP |
language |
unknown |
topic |
Climate Model Surface Melt Antarctic Ocean and Atmospheric Sciences Meteorology Antarctica Atmosphere Cryosphere US Antarctic Program Data Center (USAP-DC) |
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Climate Model Surface Melt Antarctic Ocean and Atmospheric Sciences Meteorology Antarctica Atmosphere Cryosphere US Antarctic Program Data Center (USAP-DC) Reusch, David Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
topic_facet |
Climate Model Surface Melt Antarctic Ocean and Atmospheric Sciences Meteorology Antarctica Atmosphere Cryosphere US Antarctic Program Data Center (USAP-DC) |
description |
Abstract: The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes. Using contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change. The previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here. |
format |
Dataset |
author |
Reusch, David |
author_facet |
Reusch, David |
author_sort |
Reusch, David |
title |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
title_short |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
title_full |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
title_fullStr |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
title_full_unstemmed |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
title_sort |
decoding & predicting antarctic surface melt dynamics with observations, regional atmospheric modeling and gcms |
publisher |
IEDA: US Antarctic Program Data Center |
publishDate |
2016 |
url |
http://get.iedadata.org/metadata/iso/600166 |
op_coverage |
BEGINDATE: 2011-04-15T00:00:00Z ENDDATE: 2015-03-31T00:00:00Z |
geographic |
Antarctic Antarctic Ocean |
geographic_facet |
Antarctic Antarctic Ocean |
genre |
Antarc* Antarctic Antarctic Ocean Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctic Ocean Antarctica Ice Sheet |
_version_ |
1811925211631583232 |