A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling
The surface snow density of glaciers and ice sheets is of fundamental importance in converting volume to mass in both altimetry and surface mass balance studies, yet it is often poorly constrained. Site-specific surface snow densities are typically derived fromempirical relations based on temperatur...
Published in: | Frontiers in Earth Science |
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Online Access: | https://research.manchester.ac.uk/en/publications/ed3ae083-36ee-4374-b10d-3b2710f6f0a6 https://doi.org/10.3389/feart.2018.00051 http://www.scopus.com/inward/record.url?scp=85046995447&partnerID=8YFLogxK |
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ftumanchesterpub:oai:pure.atira.dk:publications/ed3ae083-36ee-4374-b10d-3b2710f6f0a6 2024-06-23T07:53:13+00:00 A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling Fausto, Robert S. Box, Jason E. Vandecrux, Baptiste van As, Dirk Steffen, Konrad Macferrin, Michael J. Machguth, Horst Colgan, William Koenig, Lora S. McGrath, Daniel Charalampidis, Charalampos Braithwaite, Roger J. 2018 https://research.manchester.ac.uk/en/publications/ed3ae083-36ee-4374-b10d-3b2710f6f0a6 https://doi.org/10.3389/feart.2018.00051 http://www.scopus.com/inward/record.url?scp=85046995447&partnerID=8YFLogxK eng eng https://research.manchester.ac.uk/en/publications/ed3ae083-36ee-4374-b10d-3b2710f6f0a6 info:eu-repo/semantics/closedAccess Fausto , R S , Box , J E , Vandecrux , B , van As , D , Steffen , K , Macferrin , M J , Machguth , H , Colgan , W , Koenig , L S , McGrath , D , Charalampidis , C & Braithwaite , R J 2018 , ' A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling ' , Frontiers in Earth Science , vol. 6 , 51 . https://doi.org/10.3389/feart.2018.00051 Firn Greenland Model boundary condition Parameterization Snow surface density Surface mass budget article 2018 ftumanchesterpub https://doi.org/10.3389/feart.2018.00051 2024-06-04T00:53:49Z The surface snow density of glaciers and ice sheets is of fundamental importance in converting volume to mass in both altimetry and surface mass balance studies, yet it is often poorly constrained. Site-specific surface snow densities are typically derived fromempirical relations based on temperature and wind speed. These parameterizations commonly calculate the average density of the top meter of snow, thereby systematically overestimating snow density at the actual surface. Therefore, constraining surface snow density to the top 0.1mcan improve boundary conditions in high-resolution firn-evolution modeling. We have compiled an extensive dataset of 200 point measurements of surface snow density from firn cores and snow pits on the Greenland ice sheet. We find that surface snow density within 0.1m of the surface has an average value of 315kg m −3 with a standard deviation of 44kg m −3 , and has an insignificant annual air temperature dependency. We demonstrate that two widely-used surface snow density parameterizations dependent on temperature systematically overestimate surface snow density over the Greenland ice sheet by 17–19%, and that using a constant density of 315kg m −3 may give superior results when applied in surface mass budget modeling. Article in Journal/Newspaper Greenland Ice Sheet The University of Manchester: Research Explorer Greenland Frontiers in Earth Science 6 |
institution |
Open Polar |
collection |
The University of Manchester: Research Explorer |
op_collection_id |
ftumanchesterpub |
language |
English |
topic |
Firn Greenland Model boundary condition Parameterization Snow surface density Surface mass budget |
spellingShingle |
Firn Greenland Model boundary condition Parameterization Snow surface density Surface mass budget Fausto, Robert S. Box, Jason E. Vandecrux, Baptiste van As, Dirk Steffen, Konrad Macferrin, Michael J. Machguth, Horst Colgan, William Koenig, Lora S. McGrath, Daniel Charalampidis, Charalampos Braithwaite, Roger J. A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling |
topic_facet |
Firn Greenland Model boundary condition Parameterization Snow surface density Surface mass budget |
description |
The surface snow density of glaciers and ice sheets is of fundamental importance in converting volume to mass in both altimetry and surface mass balance studies, yet it is often poorly constrained. Site-specific surface snow densities are typically derived fromempirical relations based on temperature and wind speed. These parameterizations commonly calculate the average density of the top meter of snow, thereby systematically overestimating snow density at the actual surface. Therefore, constraining surface snow density to the top 0.1mcan improve boundary conditions in high-resolution firn-evolution modeling. We have compiled an extensive dataset of 200 point measurements of surface snow density from firn cores and snow pits on the Greenland ice sheet. We find that surface snow density within 0.1m of the surface has an average value of 315kg m −3 with a standard deviation of 44kg m −3 , and has an insignificant annual air temperature dependency. We demonstrate that two widely-used surface snow density parameterizations dependent on temperature systematically overestimate surface snow density over the Greenland ice sheet by 17–19%, and that using a constant density of 315kg m −3 may give superior results when applied in surface mass budget modeling. |
format |
Article in Journal/Newspaper |
author |
Fausto, Robert S. Box, Jason E. Vandecrux, Baptiste van As, Dirk Steffen, Konrad Macferrin, Michael J. Machguth, Horst Colgan, William Koenig, Lora S. McGrath, Daniel Charalampidis, Charalampos Braithwaite, Roger J. |
author_facet |
Fausto, Robert S. Box, Jason E. Vandecrux, Baptiste van As, Dirk Steffen, Konrad Macferrin, Michael J. Machguth, Horst Colgan, William Koenig, Lora S. McGrath, Daniel Charalampidis, Charalampos Braithwaite, Roger J. |
author_sort |
Fausto, Robert S. |
title |
A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling |
title_short |
A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling |
title_full |
A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling |
title_fullStr |
A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling |
title_full_unstemmed |
A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling |
title_sort |
snow density dataset for improving surface boundary conditions in greenland ice sheet firn modeling |
publishDate |
2018 |
url |
https://research.manchester.ac.uk/en/publications/ed3ae083-36ee-4374-b10d-3b2710f6f0a6 https://doi.org/10.3389/feart.2018.00051 http://www.scopus.com/inward/record.url?scp=85046995447&partnerID=8YFLogxK |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
Fausto , R S , Box , J E , Vandecrux , B , van As , D , Steffen , K , Macferrin , M J , Machguth , H , Colgan , W , Koenig , L S , McGrath , D , Charalampidis , C & Braithwaite , R J 2018 , ' A snow density dataset for improving surface boundary conditions in Greenland ice sheet firn modeling ' , Frontiers in Earth Science , vol. 6 , 51 . https://doi.org/10.3389/feart.2018.00051 |
op_relation |
https://research.manchester.ac.uk/en/publications/ed3ae083-36ee-4374-b10d-3b2710f6f0a6 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.3389/feart.2018.00051 |
container_title |
Frontiers in Earth Science |
container_volume |
6 |
_version_ |
1802644766574247936 |