Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data
Spatially distributed snow-cover extent can be derived from remote sensing data with good accuracy. However, such data are available for recent decades only, after satellite missions with proper snow detection capabilities were launched. Yet, longer time series of snow-cover area are usually require...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00017344 2023-05-15T18:32:33+02:00 Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data Gafurov, A. Vorogushyn, S. Farinotti, D. Duethmann, D. Merkushkin, A. Merz, B. 2015-03 electronic https://doi.org/10.5194/tc-9-451-2015 https://noa.gwlb.de/receive/cop_mods_00017344 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017299/tc-9-451-2015.pdf https://tc.copernicus.org/articles/9/451/2015/tc-9-451-2015.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-9-451-2015 https://noa.gwlb.de/receive/cop_mods_00017344 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017299/tc-9-451-2015.pdf https://tc.copernicus.org/articles/9/451/2015/tc-9-451-2015.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2015 ftnonlinearchiv https://doi.org/10.5194/tc-9-451-2015 2022-02-08T22:53:44Z Spatially distributed snow-cover extent can be derived from remote sensing data with good accuracy. However, such data are available for recent decades only, after satellite missions with proper snow detection capabilities were launched. Yet, longer time series of snow-cover area are usually required, e.g., for hydrological model calibration or water availability assessment in the past. We present a methodology to reconstruct historical snow coverage using recently available remote sensing data and long-term point observations of snow depth from existing meteorological stations. The methodology is mainly based on correlations between station records and spatial snow-cover patterns. Additionally, topography and temporal persistence of snow patterns are taken into account. The methodology was applied to the Zerafshan River basin in Central Asia – a very data-sparse region. Reconstructed snow cover was cross validated against independent remote sensing data and shows an accuracy of about 85%. The methodology can be used in mountainous regions to overcome the data gap for earlier decades when the availability of remote sensing snow-cover data was strongly limited. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA Term Point ENVELOPE(-92.467,-92.467,62.134,62.134) The Cryosphere 9 2 451 463 |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
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English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Gafurov, A. Vorogushyn, S. Farinotti, D. Duethmann, D. Merkushkin, A. Merz, B. Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
topic_facet |
article Verlagsveröffentlichung |
description |
Spatially distributed snow-cover extent can be derived from remote sensing data with good accuracy. However, such data are available for recent decades only, after satellite missions with proper snow detection capabilities were launched. Yet, longer time series of snow-cover area are usually required, e.g., for hydrological model calibration or water availability assessment in the past. We present a methodology to reconstruct historical snow coverage using recently available remote sensing data and long-term point observations of snow depth from existing meteorological stations. The methodology is mainly based on correlations between station records and spatial snow-cover patterns. Additionally, topography and temporal persistence of snow patterns are taken into account. The methodology was applied to the Zerafshan River basin in Central Asia – a very data-sparse region. Reconstructed snow cover was cross validated against independent remote sensing data and shows an accuracy of about 85%. The methodology can be used in mountainous regions to overcome the data gap for earlier decades when the availability of remote sensing snow-cover data was strongly limited. |
format |
Article in Journal/Newspaper |
author |
Gafurov, A. Vorogushyn, S. Farinotti, D. Duethmann, D. Merkushkin, A. Merz, B. |
author_facet |
Gafurov, A. Vorogushyn, S. Farinotti, D. Duethmann, D. Merkushkin, A. Merz, B. |
author_sort |
Gafurov, A. |
title |
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
title_short |
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
title_full |
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
title_fullStr |
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
title_full_unstemmed |
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
title_sort |
snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/tc-9-451-2015 https://noa.gwlb.de/receive/cop_mods_00017344 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017299/tc-9-451-2015.pdf https://tc.copernicus.org/articles/9/451/2015/tc-9-451-2015.pdf |
long_lat |
ENVELOPE(-92.467,-92.467,62.134,62.134) |
geographic |
Term Point |
geographic_facet |
Term Point |
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-9-451-2015 https://noa.gwlb.de/receive/cop_mods_00017344 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017299/tc-9-451-2015.pdf https://tc.copernicus.org/articles/9/451/2015/tc-9-451-2015.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-9-451-2015 |
container_title |
The Cryosphere |
container_volume |
9 |
container_issue |
2 |
container_start_page |
451 |
op_container_end_page |
463 |
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1766216709355601920 |