Measuring snow water equivalent from common-offset GPR records through migration velocity analysis
Many mountainous regions depend on seasonal snowfall for their water resources. Current methods of predicting the availability of water resources rely on long-term relationships between stream discharge and snowpack monitoring at isolated locations, which are less reliable during abnormal snow years...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00007733 2023-05-15T18:32:32+02:00 Measuring snow water equivalent from common-offset GPR records through migration velocity analysis St. Clair, James Holbrook, W. Steven 2017-12 electronic https://doi.org/10.5194/tc-11-2997-2017 https://noa.gwlb.de/receive/cop_mods_00007733 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007690/tc-11-2997-2017.pdf https://tc.copernicus.org/articles/11/2997/2017/tc-11-2997-2017.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-11-2997-2017 https://noa.gwlb.de/receive/cop_mods_00007733 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007690/tc-11-2997-2017.pdf https://tc.copernicus.org/articles/11/2997/2017/tc-11-2997-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/tc-11-2997-2017 2022-02-08T22:58:22Z Many mountainous regions depend on seasonal snowfall for their water resources. Current methods of predicting the availability of water resources rely on long-term relationships between stream discharge and snowpack monitoring at isolated locations, which are less reliable during abnormal snow years. Ground-penetrating radar (GPR) has been shown to be an effective tool for measuring snow water equivalent (SWE) because of the close relationship between snow density and radar velocity. However, the standard methods of measuring radar velocity can be time-consuming. Here we apply a migration focusing method originally developed for extracting velocity information from diffracted energy observed in zero-offset seismic sections to the problem of estimating radar velocities in seasonal snow from common-offset GPR data. Diffractions are isolated by plane-wave-destruction (PWD) filtering and the optimal migration velocity is chosen based on the varimax norm of the migrated image. We then use the radar velocity to estimate snow density, depth, and SWE. The GPR-derived SWE estimates are within 6 % of manual SWE measurements when the GPR antenna is coupled to the snow surface and 3–21 % of the manual measurements when the antenna is mounted on the front of a snowmobile ∼ 0.5 m above the snow surface. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 11 6 2997 3009 |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung St. Clair, James Holbrook, W. Steven Measuring snow water equivalent from common-offset GPR records through migration velocity analysis |
topic_facet |
article Verlagsveröffentlichung |
description |
Many mountainous regions depend on seasonal snowfall for their water resources. Current methods of predicting the availability of water resources rely on long-term relationships between stream discharge and snowpack monitoring at isolated locations, which are less reliable during abnormal snow years. Ground-penetrating radar (GPR) has been shown to be an effective tool for measuring snow water equivalent (SWE) because of the close relationship between snow density and radar velocity. However, the standard methods of measuring radar velocity can be time-consuming. Here we apply a migration focusing method originally developed for extracting velocity information from diffracted energy observed in zero-offset seismic sections to the problem of estimating radar velocities in seasonal snow from common-offset GPR data. Diffractions are isolated by plane-wave-destruction (PWD) filtering and the optimal migration velocity is chosen based on the varimax norm of the migrated image. We then use the radar velocity to estimate snow density, depth, and SWE. The GPR-derived SWE estimates are within 6 % of manual SWE measurements when the GPR antenna is coupled to the snow surface and 3–21 % of the manual measurements when the antenna is mounted on the front of a snowmobile ∼ 0.5 m above the snow surface. |
format |
Article in Journal/Newspaper |
author |
St. Clair, James Holbrook, W. Steven |
author_facet |
St. Clair, James Holbrook, W. Steven |
author_sort |
St. Clair, James |
title |
Measuring snow water equivalent from common-offset GPR records through migration velocity analysis |
title_short |
Measuring snow water equivalent from common-offset GPR records through migration velocity analysis |
title_full |
Measuring snow water equivalent from common-offset GPR records through migration velocity analysis |
title_fullStr |
Measuring snow water equivalent from common-offset GPR records through migration velocity analysis |
title_full_unstemmed |
Measuring snow water equivalent from common-offset GPR records through migration velocity analysis |
title_sort |
measuring snow water equivalent from common-offset gpr records through migration velocity analysis |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/tc-11-2997-2017 https://noa.gwlb.de/receive/cop_mods_00007733 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007690/tc-11-2997-2017.pdf https://tc.copernicus.org/articles/11/2997/2017/tc-11-2997-2017.pdf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-11-2997-2017 https://noa.gwlb.de/receive/cop_mods_00007733 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007690/tc-11-2997-2017.pdf https://tc.copernicus.org/articles/11/2997/2017/tc-11-2997-2017.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-11-2997-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
6 |
container_start_page |
2997 |
op_container_end_page |
3009 |
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1766216654835941376 |