An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change

In order to explore the response of the Greenland ice sheet (GIS) to climate change on long (centennial to multi-millennial) time scales, a regional energy-moisture balance model has been developed. This model simulates seasonal variations of temperature and precipitation over Greenland and explicit...

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Main Authors: Robinson, A., Calov, R., Ganopolski, A.
Format: Article in Journal/Newspaper
Language:English
Published: München : European Geopyhsical Union 2010
Subjects:
550
Online Access:https://dx.doi.org/10.34657/779
https://oa.tib.eu/renate/handle/123456789/659
id ftdatacite:10.34657/779
record_format openpolar
spelling ftdatacite:10.34657/779 2023-05-15T16:26:28+02:00 An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change Robinson, A. Calov, R. Ganopolski, A. 2010 application/pdf https://dx.doi.org/10.34657/779 https://oa.tib.eu/renate/handle/123456789/659 en eng München : European Geopyhsical Union Creative Commons Attribution 3.0 Unported CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY 550 CreativeWork article 2010 ftdatacite https://doi.org/10.34657/779 2022-03-10T12:43:22Z In order to explore the response of the Greenland ice sheet (GIS) to climate change on long (centennial to multi-millennial) time scales, a regional energy-moisture balance model has been developed. This model simulates seasonal variations of temperature and precipitation over Greenland and explicitly accounts for elevation and albedo feedbacks. From these fields, the annual mean surface temperature and surface mass balance can be determined and used to force an ice sheet model. The melt component of the surface mass balance is computed here using both a positive degree day approach and a more physically-based alternative that includes insolation and albedo explicitly. As a validation of the climate model, we first simulated temperature and precipitation over Greenland for the prescribed, present-day topography. Our simulated climatology compares well to observations and does not differ significantly from that of a simple parameterization used in many previous simulations. Furthermore, the calculated surface mass balance using both melt schemes falls within the range of recent regional climate model results. For a prescribed, ice-free state, the differences in simulated climatology between the regional energy-moisture balance model and the simple parameterization become significant, with our model showing much stronger summer warming. When coupled to a three-dimensional ice sheet model and initialized with present-day conditions, the two melt schemes both allow realistic simulations of the present-day GIS. Article in Journal/Newspaper Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic 550
spellingShingle 550
Robinson, A.
Calov, R.
Ganopolski, A.
An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change
topic_facet 550
description In order to explore the response of the Greenland ice sheet (GIS) to climate change on long (centennial to multi-millennial) time scales, a regional energy-moisture balance model has been developed. This model simulates seasonal variations of temperature and precipitation over Greenland and explicitly accounts for elevation and albedo feedbacks. From these fields, the annual mean surface temperature and surface mass balance can be determined and used to force an ice sheet model. The melt component of the surface mass balance is computed here using both a positive degree day approach and a more physically-based alternative that includes insolation and albedo explicitly. As a validation of the climate model, we first simulated temperature and precipitation over Greenland for the prescribed, present-day topography. Our simulated climatology compares well to observations and does not differ significantly from that of a simple parameterization used in many previous simulations. Furthermore, the calculated surface mass balance using both melt schemes falls within the range of recent regional climate model results. For a prescribed, ice-free state, the differences in simulated climatology between the regional energy-moisture balance model and the simple parameterization become significant, with our model showing much stronger summer warming. When coupled to a three-dimensional ice sheet model and initialized with present-day conditions, the two melt schemes both allow realistic simulations of the present-day GIS.
format Article in Journal/Newspaper
author Robinson, A.
Calov, R.
Ganopolski, A.
author_facet Robinson, A.
Calov, R.
Ganopolski, A.
author_sort Robinson, A.
title An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change
title_short An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change
title_full An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change
title_fullStr An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change
title_full_unstemmed An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change
title_sort efficient regional energy-moisture balance model for simulation of the greenland ice sheet response to climate change
publisher München : European Geopyhsical Union
publishDate 2010
url https://dx.doi.org/10.34657/779
https://oa.tib.eu/renate/handle/123456789/659
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_rights Creative Commons Attribution 3.0 Unported
CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.34657/779
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