A note on digital elevation model smoothing and driving stresses
Ice-flow fields, including the driving stress, provide important information on the current state and evolution of Antarctic and Greenland ice-sheet dynamics. However, computation of flow fields from continent-scale DEMs requires the use of smoothing functions and scales, the choice of which can be...
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Norwegian Polar Institute
2019
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ftdoajarticles:oai:doaj.org/article:d171d0de176b4d13ad7d8034d888d249 2023-05-15T13:54:08+02:00 A note on digital elevation model smoothing and driving stresses Felicity S. McCormack Jason L. Roberts Lenneke M. Jong Duncan A. Young Lucas H. Beem 2019-03-01T00:00:00Z https://doi.org/10.33265/polar.v38.3498 https://doaj.org/article/d171d0de176b4d13ad7d8034d888d249 EN eng Norwegian Polar Institute https://polarresearch.net/index.php/polar/article/view/3498/9172 https://doaj.org/toc/1751-8369 1751-8369 doi:10.33265/polar.v38.3498 https://doaj.org/article/d171d0de176b4d13ad7d8034d888d249 Polar Research, Vol 38, Iss 0, Pp 1-6 (2019) Ice-flow direction smoothing filter Antarctic ice sheet ice-sheet dynamics Environmental sciences GE1-350 Oceanography GC1-1581 article 2019 ftdoajarticles https://doi.org/10.33265/polar.v38.3498 2022-12-31T08:53:27Z Ice-flow fields, including the driving stress, provide important information on the current state and evolution of Antarctic and Greenland ice-sheet dynamics. However, computation of flow fields from continent-scale DEMs requires the use of smoothing functions and scales, the choice of which can be ad hoc. This study evaluates smoothing functions and scales for robust calculations of driving stress from Antarctic DEMs. Our approach compares a variety of filters and scales for their capacity to minimize the residual between predicted and observed flow direction fields. We find that a spatially varying triangular filter with a width of 8–10 ice thicknesses provides the closest match between the observed and predicted flow direction fields. We use the predicted flow direction fields to highlight artefacts in observed Antarctic velocities, demonstrating that comparison of multiple observational data sets has utility for quality control of continent-scale data sets. Article in Journal/Newspaper Antarc* Antarctic Greenland Ice Sheet Polar Research Directory of Open Access Journals: DOAJ Articles Antarctic Greenland Polar Research 38 0 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ice-flow direction smoothing filter Antarctic ice sheet ice-sheet dynamics Environmental sciences GE1-350 Oceanography GC1-1581 |
spellingShingle |
Ice-flow direction smoothing filter Antarctic ice sheet ice-sheet dynamics Environmental sciences GE1-350 Oceanography GC1-1581 Felicity S. McCormack Jason L. Roberts Lenneke M. Jong Duncan A. Young Lucas H. Beem A note on digital elevation model smoothing and driving stresses |
topic_facet |
Ice-flow direction smoothing filter Antarctic ice sheet ice-sheet dynamics Environmental sciences GE1-350 Oceanography GC1-1581 |
description |
Ice-flow fields, including the driving stress, provide important information on the current state and evolution of Antarctic and Greenland ice-sheet dynamics. However, computation of flow fields from continent-scale DEMs requires the use of smoothing functions and scales, the choice of which can be ad hoc. This study evaluates smoothing functions and scales for robust calculations of driving stress from Antarctic DEMs. Our approach compares a variety of filters and scales for their capacity to minimize the residual between predicted and observed flow direction fields. We find that a spatially varying triangular filter with a width of 8–10 ice thicknesses provides the closest match between the observed and predicted flow direction fields. We use the predicted flow direction fields to highlight artefacts in observed Antarctic velocities, demonstrating that comparison of multiple observational data sets has utility for quality control of continent-scale data sets. |
format |
Article in Journal/Newspaper |
author |
Felicity S. McCormack Jason L. Roberts Lenneke M. Jong Duncan A. Young Lucas H. Beem |
author_facet |
Felicity S. McCormack Jason L. Roberts Lenneke M. Jong Duncan A. Young Lucas H. Beem |
author_sort |
Felicity S. McCormack |
title |
A note on digital elevation model smoothing and driving stresses |
title_short |
A note on digital elevation model smoothing and driving stresses |
title_full |
A note on digital elevation model smoothing and driving stresses |
title_fullStr |
A note on digital elevation model smoothing and driving stresses |
title_full_unstemmed |
A note on digital elevation model smoothing and driving stresses |
title_sort |
note on digital elevation model smoothing and driving stresses |
publisher |
Norwegian Polar Institute |
publishDate |
2019 |
url |
https://doi.org/10.33265/polar.v38.3498 https://doaj.org/article/d171d0de176b4d13ad7d8034d888d249 |
geographic |
Antarctic Greenland |
geographic_facet |
Antarctic Greenland |
genre |
Antarc* Antarctic Greenland Ice Sheet Polar Research |
genre_facet |
Antarc* Antarctic Greenland Ice Sheet Polar Research |
op_source |
Polar Research, Vol 38, Iss 0, Pp 1-6 (2019) |
op_relation |
https://polarresearch.net/index.php/polar/article/view/3498/9172 https://doaj.org/toc/1751-8369 1751-8369 doi:10.33265/polar.v38.3498 https://doaj.org/article/d171d0de176b4d13ad7d8034d888d249 |
op_doi |
https://doi.org/10.33265/polar.v38.3498 |
container_title |
Polar Research |
container_volume |
38 |
container_issue |
0 |
_version_ |
1766259777706393600 |