Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs


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Resource Abstract:
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.
Citation
Title  Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
publication date 2016
cited responsible party - author
individual Name  Reusch, David
No contact information provided.
cited responsible party - publisher
organisation Name  U.S. Antarctic Program (USAP) Data Center
No contact information provided.
Topic Category:   climatologyMeteorologyAtmosphere
Keywords:
Resource language:   eng
Resource progress code:   Complete
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Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0]
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Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0]
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Security Constraints
Classification  unclassified
Resource extent
Resource extent
Temporal Extent
2011-04-15 2015-03-31
Credits:
funderName:NSF:GEO:PLR:Antarctic Ocean and Atmospheric Sciences awardNumber:1043580 awardTitle:Collaborative Research: Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
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individual Name  missing
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name  Landing Page
URL: http://dx.doi.org/10.15784/600166
protocol  WWW:LINK-1.0-http--link
link function  information
Description  Link to DOI landing page or data facility landing page if no DOI is assigned.
Linkage for online resource
name  landing page
URL: http://www.usap-dc.org/view/dataset/600166
protocol  WWW:LINK-1.0-http--link
link function  information
Description  Link to a web page related to the resource.
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Metadata Information

Metadata data stamp:  2018-05-17
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notes:  This metadata record was generated by an xslt transformation from a DataCite metadata record; The transform was created by Damian Ulbricht and Stephen M. Richard. 2017-11-15 these records include new IEDA keywords for geoportal facets Run on 2018-06-21T19:05:25-07:00
Metadata contact - pointOfContact
organisation Name  Interdisciplinary Earth Data Alliance
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electronic Mail Address: web@usap-dc.org
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URL: http://www.usap-dc.org/static/imgs/header/usaplogo.png
link function  browseGraphic
Metadata scope code  dataset
Metadata hierarchy level name:  Dataset
Metadata language   eng
Metadata character set encoding:   utf8
Metadata standard for this record:  ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:  2007
Metadata record identifier:  urn:ieda:metadataabout:10.15784-600166
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Metadata record format is ISO19139 XML (MD_Metadata)