Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments
The hydrological cycle is strongly influenced by the accumulation and melting of seasonal snow. For this reason, mountains are often claimed to be the “water towers” of the world. In this context, a key variable is the snow water equivalent (SWE). However, the complex processes of snow accumulation,...
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Copernicus Publications
2023
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00067222 2023-07-16T04:01:07+02:00 Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments Premier, Valentina Marin, Carlo Bertoldi, Giacomo Barella, Riccardo Notarnicola, Claudia Bruzzone, Lorenzo 2023-06 electronic https://doi.org/10.5194/tc-17-2387-2023 https://noa.gwlb.de/receive/cop_mods_00067222 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00065687/tc-17-2387-2023.pdf https://tc.copernicus.org/articles/17/2387/2023/tc-17-2387-2023.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-17-2387-2023 https://noa.gwlb.de/receive/cop_mods_00067222 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00065687/tc-17-2387-2023.pdf https://tc.copernicus.org/articles/17/2387/2023/tc-17-2387-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/tc-17-2387-2023 2023-06-25T23:18:51Z The hydrological cycle is strongly influenced by the accumulation and melting of seasonal snow. For this reason, mountains are often claimed to be the “water towers” of the world. In this context, a key variable is the snow water equivalent (SWE). However, the complex processes of snow accumulation, redistribution, and ablation make its quantification and prediction very challenging. In this work, we explore the use of multi-source data to reconstruct SWE at a high spatial resolution (HR) of 25 m. To this purpose, we propose a novel approach based on (i) in situ snow depth or SWE observations, temperature data and synthetic aperture radar (SAR) images to determine the pixel state, i.e., whether it is undergoing an SWE increase (accumulation) or decrease (ablation), (ii) a daily HR time series of snow cover area (SCA) maps derived by high- and low-resolution multispectral optical satellite images to define the days of snow presence, and (iii) a degree-day model driven by in situ temperature to determine the potential melting. Given the typical high spatial heterogeneity of snow in mountainous areas, the use of HR images represents an important novelty that allows us to sample its distribution more adequately, thus resulting in highly detailed spatialized information. The proposed SWE reconstruction approach also foresees a novel SCA time series regularization technique that models impossible transitions based on the pixel state, i.e., the erroneous change in the pixel class from snow to snow-free when it is expected to be in accumulation or equilibrium and, vice versa, from snow-free to snow when it is expected to be in ablation or equilibrium. Furthermore, it reconstructs the SWE for the entire hydrological season, including late snowfall. The approach does not require spatialized precipitation information as input, which is usually affected by uncertainty. The method provided good results in two different test catchments: the South Fork of the San Joaquin River, California, and the Schnals catchment, Italy. It ... Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA South Fork ENVELOPE(161.250,161.250,-77.567,-77.567) The Cryosphere 17 6 2387 2407 |
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article Verlagsveröffentlichung Premier, Valentina Marin, Carlo Bertoldi, Giacomo Barella, Riccardo Notarnicola, Claudia Bruzzone, Lorenzo Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
topic_facet |
article Verlagsveröffentlichung |
description |
The hydrological cycle is strongly influenced by the accumulation and melting of seasonal snow. For this reason, mountains are often claimed to be the “water towers” of the world. In this context, a key variable is the snow water equivalent (SWE). However, the complex processes of snow accumulation, redistribution, and ablation make its quantification and prediction very challenging. In this work, we explore the use of multi-source data to reconstruct SWE at a high spatial resolution (HR) of 25 m. To this purpose, we propose a novel approach based on (i) in situ snow depth or SWE observations, temperature data and synthetic aperture radar (SAR) images to determine the pixel state, i.e., whether it is undergoing an SWE increase (accumulation) or decrease (ablation), (ii) a daily HR time series of snow cover area (SCA) maps derived by high- and low-resolution multispectral optical satellite images to define the days of snow presence, and (iii) a degree-day model driven by in situ temperature to determine the potential melting. Given the typical high spatial heterogeneity of snow in mountainous areas, the use of HR images represents an important novelty that allows us to sample its distribution more adequately, thus resulting in highly detailed spatialized information. The proposed SWE reconstruction approach also foresees a novel SCA time series regularization technique that models impossible transitions based on the pixel state, i.e., the erroneous change in the pixel class from snow to snow-free when it is expected to be in accumulation or equilibrium and, vice versa, from snow-free to snow when it is expected to be in ablation or equilibrium. Furthermore, it reconstructs the SWE for the entire hydrological season, including late snowfall. The approach does not require spatialized precipitation information as input, which is usually affected by uncertainty. The method provided good results in two different test catchments: the South Fork of the San Joaquin River, California, and the Schnals catchment, Italy. It ... |
format |
Article in Journal/Newspaper |
author |
Premier, Valentina Marin, Carlo Bertoldi, Giacomo Barella, Riccardo Notarnicola, Claudia Bruzzone, Lorenzo |
author_facet |
Premier, Valentina Marin, Carlo Bertoldi, Giacomo Barella, Riccardo Notarnicola, Claudia Bruzzone, Lorenzo |
author_sort |
Premier, Valentina |
title |
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
title_short |
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
title_full |
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
title_fullStr |
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
title_full_unstemmed |
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
title_sort |
exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-2387-2023 https://noa.gwlb.de/receive/cop_mods_00067222 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00065687/tc-17-2387-2023.pdf https://tc.copernicus.org/articles/17/2387/2023/tc-17-2387-2023.pdf |
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ENVELOPE(161.250,161.250,-77.567,-77.567) |
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South Fork |
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South Fork |
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-17-2387-2023 https://noa.gwlb.de/receive/cop_mods_00067222 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00065687/tc-17-2387-2023.pdf https://tc.copernicus.org/articles/17/2387/2023/tc-17-2387-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-17-2387-2023 |
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The Cryosphere |
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17 |
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6 |
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