Refreezing on the Greenland ice sheet: a comparison of parameterizations

Retention and refreezing of meltwater are acknowledged to be important processes for the mass budget of polar glaciers and ice sheets. Several parameterizations of these processes exist for use in energy and mass balance models. Due to a lack of direct observations, validation of these parameterizat...

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Main Authors: Reijmer, C.H., van den Broeke, M.R., Fettweis, X., Ettema, J., Stap, L.B.
Other Authors: Marine and Atmospheric Research, Sub Dynamics Meteorology
Format: Article in Journal/Newspaper
Language:English
Published: 2012
Subjects:
Online Access:https://dspace.library.uu.nl/handle/1874/257333
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spelling ftunivutrecht:oai:dspace.library.uu.nl:1874/257333 2023-07-23T04:19:32+02:00 Refreezing on the Greenland ice sheet: a comparison of parameterizations Reijmer, C.H. van den Broeke, M.R. Fettweis, X. Ettema, J. Stap, L.B. Marine and Atmospheric Research Sub Dynamics Meteorology 2012 text/plain https://dspace.library.uu.nl/handle/1874/257333 en eng 1994-0416 https://dspace.library.uu.nl/handle/1874/257333 info:eu-repo/semantics/OpenAccess Article 2012 ftunivutrecht 2023-07-02T00:34:04Z Retention and refreezing of meltwater are acknowledged to be important processes for the mass budget of polar glaciers and ice sheets. Several parameterizations of these processes exist for use in energy and mass balance models. Due to a lack of direct observations, validation of these parameterizations is difficult. In this study we compare a set of 6 refreezing parameterizations against output of two Regional Climate Models (RCMs) coupled to an energy balance snow model, the Regional Atmospheric Climate Model (RACMO2) and the Mod`ele Atmosph´erique R´egional (MAR), applied to the Greenland ice sheet. In both RCMs, refreezing is explicitly calculated in a snow model that calculates vertical profiles of temperature, density and liquid water content. Between RACMO2 and MAR, the ice sheet-integrated amount of refreezing differs by only 4.9mmw.e yr−1 (4.5 %), and the temporal and spatial variability are very similar. For consistency, the parameterizations are forced with output (surface temperature, precipitation and melt) of the RCMs. For the ice sheet-integrated amount of refreezing and its inter-annual variations, all parameterizations give similar results, especially after some tuning. However, the spatial distributions differ significantly and the spatial correspondence between the RCMs is better than with any of the parameterizations. Results are especially sensitive to the choice of the depth of the thermally active layer, which determines the cold content of the snow in most parameterizations. These results are independent of which RCM is used to force the parameterizations. Article in Journal/Newspaper Greenland Ice Sheet Utrecht University Repository Greenland
institution Open Polar
collection Utrecht University Repository
op_collection_id ftunivutrecht
language English
description Retention and refreezing of meltwater are acknowledged to be important processes for the mass budget of polar glaciers and ice sheets. Several parameterizations of these processes exist for use in energy and mass balance models. Due to a lack of direct observations, validation of these parameterizations is difficult. In this study we compare a set of 6 refreezing parameterizations against output of two Regional Climate Models (RCMs) coupled to an energy balance snow model, the Regional Atmospheric Climate Model (RACMO2) and the Mod`ele Atmosph´erique R´egional (MAR), applied to the Greenland ice sheet. In both RCMs, refreezing is explicitly calculated in a snow model that calculates vertical profiles of temperature, density and liquid water content. Between RACMO2 and MAR, the ice sheet-integrated amount of refreezing differs by only 4.9mmw.e yr−1 (4.5 %), and the temporal and spatial variability are very similar. For consistency, the parameterizations are forced with output (surface temperature, precipitation and melt) of the RCMs. For the ice sheet-integrated amount of refreezing and its inter-annual variations, all parameterizations give similar results, especially after some tuning. However, the spatial distributions differ significantly and the spatial correspondence between the RCMs is better than with any of the parameterizations. Results are especially sensitive to the choice of the depth of the thermally active layer, which determines the cold content of the snow in most parameterizations. These results are independent of which RCM is used to force the parameterizations.
author2 Marine and Atmospheric Research
Sub Dynamics Meteorology
format Article in Journal/Newspaper
author Reijmer, C.H.
van den Broeke, M.R.
Fettweis, X.
Ettema, J.
Stap, L.B.
spellingShingle Reijmer, C.H.
van den Broeke, M.R.
Fettweis, X.
Ettema, J.
Stap, L.B.
Refreezing on the Greenland ice sheet: a comparison of parameterizations
author_facet Reijmer, C.H.
van den Broeke, M.R.
Fettweis, X.
Ettema, J.
Stap, L.B.
author_sort Reijmer, C.H.
title Refreezing on the Greenland ice sheet: a comparison of parameterizations
title_short Refreezing on the Greenland ice sheet: a comparison of parameterizations
title_full Refreezing on the Greenland ice sheet: a comparison of parameterizations
title_fullStr Refreezing on the Greenland ice sheet: a comparison of parameterizations
title_full_unstemmed Refreezing on the Greenland ice sheet: a comparison of parameterizations
title_sort refreezing on the greenland ice sheet: a comparison of parameterizations
publishDate 2012
url https://dspace.library.uu.nl/handle/1874/257333
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_relation 1994-0416
https://dspace.library.uu.nl/handle/1874/257333
op_rights info:eu-repo/semantics/OpenAccess
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