Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy
Snow water equivalent (SWE) is an important variable in describing global seasonal snow cover. Traditionally, SWE has been measured manually at snow transects or using observations from weather stations. However, these measurements have a poor spatial coverage, and a good alternative to in situ meas...
Published in: | The Cryosphere |
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Copernicus Publications
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00057151 2023-05-15T18:32:32+02:00 Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy Venäläinen, Pinja Luojus, Kari Lemmetyinen, Juha Pulliainen, Jouni Moisander, Mikko Takala, Matias 2021-06 electronic https://doi.org/10.5194/tc-15-2969-2021 https://noa.gwlb.de/receive/cop_mods_00057151 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00056801/tc-15-2969-2021.pdf https://tc.copernicus.org/articles/15/2969/2021/tc-15-2969-2021.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-15-2969-2021 https://noa.gwlb.de/receive/cop_mods_00057151 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00056801/tc-15-2969-2021.pdf https://tc.copernicus.org/articles/15/2969/2021/tc-15-2969-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/tc-15-2969-2021 2022-02-08T22:33:43Z Snow water equivalent (SWE) is an important variable in describing global seasonal snow cover. Traditionally, SWE has been measured manually at snow transects or using observations from weather stations. However, these measurements have a poor spatial coverage, and a good alternative to in situ measurements is to use spaceborne passive microwave observations, which can provide global coverage at daily timescales. The reliability and accuracy of SWE estimates made using spaceborne microwave radiometer data can be improved by assimilating radiometer observations with weather station snow depth observations as done in the GlobSnow SWE retrieval methodology. However, one possible source of uncertainty in the GlobSnow SWE retrieval approach is the constant snow density used in modelling emission of snow. In this paper, three versions of spatially and temporally varying snow density fields were implemented using snow transect data from Eurasia and Canada and automated snow observations from the United States. Snow density fields were used to post-process the baseline GlobSnow v.3.0 SWE product. Decadal snow density information, i.e. fields where snow density for each day of the year was taken as the mean calculated for the corresponding day over 10 years, was found to produce the best results. Overall, post-processing GlobSnow SWE retrieval with dynamic snow density information improved overestimation of small SWE values and underestimation of large SWE values, though underestimation of SWE values larger than 175 mm was still significant. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA Canada The Cryosphere 15 6 2969 2981 |
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Niedersächsisches Online-Archiv NOA |
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English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Venäläinen, Pinja Luojus, Kari Lemmetyinen, Juha Pulliainen, Jouni Moisander, Mikko Takala, Matias Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy |
topic_facet |
article Verlagsveröffentlichung |
description |
Snow water equivalent (SWE) is an important variable in describing global seasonal snow cover. Traditionally, SWE has been measured manually at snow transects or using observations from weather stations. However, these measurements have a poor spatial coverage, and a good alternative to in situ measurements is to use spaceborne passive microwave observations, which can provide global coverage at daily timescales. The reliability and accuracy of SWE estimates made using spaceborne microwave radiometer data can be improved by assimilating radiometer observations with weather station snow depth observations as done in the GlobSnow SWE retrieval methodology. However, one possible source of uncertainty in the GlobSnow SWE retrieval approach is the constant snow density used in modelling emission of snow. In this paper, three versions of spatially and temporally varying snow density fields were implemented using snow transect data from Eurasia and Canada and automated snow observations from the United States. Snow density fields were used to post-process the baseline GlobSnow v.3.0 SWE product. Decadal snow density information, i.e. fields where snow density for each day of the year was taken as the mean calculated for the corresponding day over 10 years, was found to produce the best results. Overall, post-processing GlobSnow SWE retrieval with dynamic snow density information improved overestimation of small SWE values and underestimation of large SWE values, though underestimation of SWE values larger than 175 mm was still significant. |
format |
Article in Journal/Newspaper |
author |
Venäläinen, Pinja Luojus, Kari Lemmetyinen, Juha Pulliainen, Jouni Moisander, Mikko Takala, Matias |
author_facet |
Venäläinen, Pinja Luojus, Kari Lemmetyinen, Juha Pulliainen, Jouni Moisander, Mikko Takala, Matias |
author_sort |
Venäläinen, Pinja |
title |
Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy |
title_short |
Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy |
title_full |
Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy |
title_fullStr |
Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy |
title_full_unstemmed |
Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy |
title_sort |
impact of dynamic snow density on globsnow snow water equivalent retrieval accuracy |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-2969-2021 https://noa.gwlb.de/receive/cop_mods_00057151 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00056801/tc-15-2969-2021.pdf https://tc.copernicus.org/articles/15/2969/2021/tc-15-2969-2021.pdf |
geographic |
Canada |
geographic_facet |
Canada |
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-15-2969-2021 https://noa.gwlb.de/receive/cop_mods_00057151 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00056801/tc-15-2969-2021.pdf https://tc.copernicus.org/articles/15/2969/2021/tc-15-2969-2021.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-15-2969-2021 |
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The Cryosphere |
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15 |
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6 |
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2969 |
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2981 |
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