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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Main Author: Reusch, David
Format: Dataset
Language:unknown
Published: IEDA: US Antarctic Program Data Center 2016
Subjects:
Online Access:http://get.iedadata.org/metadata/iso/600166
id dataone:http://get.iedadata.org/metadata/iso/600166
record_format openpolar
spelling 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
institution 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)
spellingShingle 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
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