Fractional snow-covered area: scale-independent peak of winter parameterization
The spatial distribution of snow in the mountains is significantly influenced through interactions of topography with wind, precipitation, shortwave and longwave radiation, and avalanches that may relocate the accumulated snow. One of the most crucial model parameters for various applications such a...
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Copernicus Publications
2021
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00055527 2024-09-15T18:39:00+00:00 Fractional snow-covered area: scale-independent peak of winter parameterization Helbig, Nora Bühler, Yves Eberhard, Lucie Deschamps-Berger, César Gascoin, Simon Dumont, Marie Revuelto, Jesus Deems, Jeff S. Jonas, Tobias 2021-02 electronic https://doi.org/10.5194/tc-15-615-2021 https://noa.gwlb.de/receive/cop_mods_00055527 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055178/tc-15-615-2021.pdf https://tc.copernicus.org/articles/15/615/2021/tc-15-615-2021.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-15-615-2021 https://noa.gwlb.de/receive/cop_mods_00055527 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055178/tc-15-615-2021.pdf https://tc.copernicus.org/articles/15/615/2021/tc-15-615-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/tc-15-615-2021 2024-06-26T04:41:37Z The spatial distribution of snow in the mountains is significantly influenced through interactions of topography with wind, precipitation, shortwave and longwave radiation, and avalanches that may relocate the accumulated snow. One of the most crucial model parameters for various applications such as weather forecasts, climate predictions and hydrological modeling is the fraction of the ground surface that is covered by snow, also called fractional snow-covered area (fSCA). While previous subgrid parameterizations for the spatial snow depth distribution and fSCA work well, performances were scale-dependent. Here, we were able to confirm a previously established empirical relationship of peak of winter parameterization for the standard deviation of snow depth σHS by evaluating it with 11 spatial snow depth data sets from 7 different geographic regions and snow climates with resolutions ranging from 0.1 to 3 m. An enhanced performance (mean percentage errors, MPE, decreased by 25 %) across all spatial scales ≥ 200 m was achieved by recalibrating and introducing a scale-dependency in the dominant scaling variables. Scale-dependent MPEs vary between −7 % and 3 % for σHS and between 0 % and 1 % for fSCA. We performed a scale- and region-dependent evaluation of the parameterizations to assess the potential performances with independent data sets. This evaluation revealed that for the majority of the regions, the MPEs mostly lie between ±10 % for σHS and between −1 % and 1.5 % for fSCA. This suggests that the new parameterizations perform similarly well in most geographical regions. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 15 2 615 632 |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Helbig, Nora Bühler, Yves Eberhard, Lucie Deschamps-Berger, César Gascoin, Simon Dumont, Marie Revuelto, Jesus Deems, Jeff S. Jonas, Tobias Fractional snow-covered area: scale-independent peak of winter parameterization |
topic_facet |
article Verlagsveröffentlichung |
description |
The spatial distribution of snow in the mountains is significantly influenced through interactions of topography with wind, precipitation, shortwave and longwave radiation, and avalanches that may relocate the accumulated snow. One of the most crucial model parameters for various applications such as weather forecasts, climate predictions and hydrological modeling is the fraction of the ground surface that is covered by snow, also called fractional snow-covered area (fSCA). While previous subgrid parameterizations for the spatial snow depth distribution and fSCA work well, performances were scale-dependent. Here, we were able to confirm a previously established empirical relationship of peak of winter parameterization for the standard deviation of snow depth σHS by evaluating it with 11 spatial snow depth data sets from 7 different geographic regions and snow climates with resolutions ranging from 0.1 to 3 m. An enhanced performance (mean percentage errors, MPE, decreased by 25 %) across all spatial scales ≥ 200 m was achieved by recalibrating and introducing a scale-dependency in the dominant scaling variables. Scale-dependent MPEs vary between −7 % and 3 % for σHS and between 0 % and 1 % for fSCA. We performed a scale- and region-dependent evaluation of the parameterizations to assess the potential performances with independent data sets. This evaluation revealed that for the majority of the regions, the MPEs mostly lie between ±10 % for σHS and between −1 % and 1.5 % for fSCA. This suggests that the new parameterizations perform similarly well in most geographical regions. |
format |
Article in Journal/Newspaper |
author |
Helbig, Nora Bühler, Yves Eberhard, Lucie Deschamps-Berger, César Gascoin, Simon Dumont, Marie Revuelto, Jesus Deems, Jeff S. Jonas, Tobias |
author_facet |
Helbig, Nora Bühler, Yves Eberhard, Lucie Deschamps-Berger, César Gascoin, Simon Dumont, Marie Revuelto, Jesus Deems, Jeff S. Jonas, Tobias |
author_sort |
Helbig, Nora |
title |
Fractional snow-covered area: scale-independent peak of winter parameterization |
title_short |
Fractional snow-covered area: scale-independent peak of winter parameterization |
title_full |
Fractional snow-covered area: scale-independent peak of winter parameterization |
title_fullStr |
Fractional snow-covered area: scale-independent peak of winter parameterization |
title_full_unstemmed |
Fractional snow-covered area: scale-independent peak of winter parameterization |
title_sort |
fractional snow-covered area: scale-independent peak of winter parameterization |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-615-2021 https://noa.gwlb.de/receive/cop_mods_00055527 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055178/tc-15-615-2021.pdf https://tc.copernicus.org/articles/15/615/2021/tc-15-615-2021.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-15-615-2021 https://noa.gwlb.de/receive/cop_mods_00055527 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055178/tc-15-615-2021.pdf https://tc.copernicus.org/articles/15/615/2021/tc-15-615-2021.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-15-615-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
2 |
container_start_page |
615 |
op_container_end_page |
632 |
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1810483392703102976 |