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...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: St. Clair, James, Holbrook, W. Steven
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
Online Access: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
id ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00007733
record_format openpolar
spelling 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
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle 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
_version_ 1766216654835941376