Article (Scientific journals)
Evaluating a regional climate model simulation of Greenland ice sheet snow and firn density for improved surface mass balance estimates
Alexander, P.; Tedesco, M.; Koening, L. et al.
2019In Geophysical Research Letters
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Abstract :
[en] Modeling vertical profiles of snow and firn density near the surface of the Greenland ice sheet (GrIS) is key to estimating GrIS mass balance, and by extension, global sea level change. To understand sources of error in simulated GrIS density, we compare GrIS density profiles from a leading regional climate model with coincident in situ measurements. We identify key contributors to model density and mass balance biases, including underestimated simulated fresh snow density (which leads to underestimation of density in the top 1 m of snow by ~10%). In areas undergoing frequent melting, positive density biases (of 7% in the top 1 m, and 10% between 1 and 10 m) are likely associated with errors in representing meltwater production, retention and refreezing. The results highlight the importance of accurately capturing fresh snow density and meltwater processes in models used to estimate GrIS mass balance change.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Alexander, P.
Tedesco, M.
Koening, L.
Fettweis, Xavier  ;  Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Language :
English
Title :
Evaluating a regional climate model simulation of Greenland ice sheet snow and firn density for improved surface mass balance estimates
Publication date :
11 October 2019
Journal title :
Geophysical Research Letters
ISSN :
0094-8276
eISSN :
1944-8007
Publisher :
Wiley, Washington, United States - District of Columbia
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 15 October 2019

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