Automated observation of physical snowpack properties in Ny-Ålesund
The snow season in the Svalbard archipelago generally lasts 6–10 months a year and significantly impacts the regional climate, glaciers mass balance, permafrost thermal regime and ecology. Due to the lack of long-term continuous snowpack physical data, it is still challenging for the numerical snow...
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Online Access: | https://hdl.handle.net/11587/515146 https://doi.org/10.3389/feart.2023.1123981 |
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ftunivsalento:oai:iris.unisalento.it:11587/515146 2024-06-23T07:50:13+00:00 Automated observation of physical snowpack properties in Ny-Ålesund Scoto F. Pappaccogli G. Mazzola M. Donateo A. Salzano R. Monzali M. de Blasi F. Larose C. Gallet J. -C. Decesari S. Spolaor A. Scoto, F. Pappaccogli, G. Mazzola, M. Donateo, A. Salzano, R. Monzali, M. de Blasi, F. Larose, C. Gallet, J. -C. Decesari, S. Spolaor, A. 2023 ELETTRONICO https://hdl.handle.net/11587/515146 https://doi.org/10.3389/feart.2023.1123981 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000970783600001 volume:11 journal:FRONTIERS IN EARTH SCIENCE https://hdl.handle.net/11587/515146 doi:10.3389/feart.2023.1123981 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85153373580 arctic automated nivometric station physical propertie snow svalbard info:eu-repo/semantics/article 2023 ftunivsalento https://doi.org/10.3389/feart.2023.1123981 2024-05-31T03:34:30Z The snow season in the Svalbard archipelago generally lasts 6–10 months a year and significantly impacts the regional climate, glaciers mass balance, permafrost thermal regime and ecology. Due to the lack of long-term continuous snowpack physical data, it is still challenging for the numerical snow physics models to simulate multi-layer snowpack evolution, especially for remote Arctic areas. To fill this gap, in November 2020, an automated nivometric station (ANS) was installed ∼1 km Southwest from the settlement of Ny-Ålesund (Spitzbergen, Svalbard), in a flat area over the lowland tundra. It automatically provides continuous snow data, including NIR images of the fractional snow-cover area (fSCA), snow depth (SD), internal snow temperature and liquid water content (LWC) profiles at different depths with a 10 min time resolution. Here we present the first-year record of automatic snow preliminary measurements collected between November 2020 and July 2021 together with weekly manual observations for comparison. The snow season at the ANS site lasted for 225 days with an annual net accumulation of 117 cm (392 mm of water equivalent). The LWC in the snowpack was generally low (<4%) during wintertime, nevertheless, we observed three snow-melting events between November and February 2021 and one in June 2021, connected with positive temperature and rain on snow events (ROS). In view of the foreseen future developments, the ANS is the first automated, comprehensive snowpack monitoring system in Ny-Ålesund measuring key essential climate variables needed to understand the seasonal evolution of the snow cover on land. Article in Journal/Newspaper Arctic permafrost Spitzbergen Svalbard Tundra Università del Salento: CINECA IRIS Arctic Svalbard Svalbard Archipelago Frontiers in Earth Science 11 |
institution |
Open Polar |
collection |
Università del Salento: CINECA IRIS |
op_collection_id |
ftunivsalento |
language |
English |
topic |
arctic automated nivometric station physical propertie snow svalbard |
spellingShingle |
arctic automated nivometric station physical propertie snow svalbard Scoto F. Pappaccogli G. Mazzola M. Donateo A. Salzano R. Monzali M. de Blasi F. Larose C. Gallet J. -C. Decesari S. Spolaor A. Automated observation of physical snowpack properties in Ny-Ålesund |
topic_facet |
arctic automated nivometric station physical propertie snow svalbard |
description |
The snow season in the Svalbard archipelago generally lasts 6–10 months a year and significantly impacts the regional climate, glaciers mass balance, permafrost thermal regime and ecology. Due to the lack of long-term continuous snowpack physical data, it is still challenging for the numerical snow physics models to simulate multi-layer snowpack evolution, especially for remote Arctic areas. To fill this gap, in November 2020, an automated nivometric station (ANS) was installed ∼1 km Southwest from the settlement of Ny-Ålesund (Spitzbergen, Svalbard), in a flat area over the lowland tundra. It automatically provides continuous snow data, including NIR images of the fractional snow-cover area (fSCA), snow depth (SD), internal snow temperature and liquid water content (LWC) profiles at different depths with a 10 min time resolution. Here we present the first-year record of automatic snow preliminary measurements collected between November 2020 and July 2021 together with weekly manual observations for comparison. The snow season at the ANS site lasted for 225 days with an annual net accumulation of 117 cm (392 mm of water equivalent). The LWC in the snowpack was generally low (<4%) during wintertime, nevertheless, we observed three snow-melting events between November and February 2021 and one in June 2021, connected with positive temperature and rain on snow events (ROS). In view of the foreseen future developments, the ANS is the first automated, comprehensive snowpack monitoring system in Ny-Ålesund measuring key essential climate variables needed to understand the seasonal evolution of the snow cover on land. |
author2 |
Scoto, F. Pappaccogli, G. Mazzola, M. Donateo, A. Salzano, R. Monzali, M. de Blasi, F. Larose, C. Gallet, J. -C. Decesari, S. Spolaor, A. |
format |
Article in Journal/Newspaper |
author |
Scoto F. Pappaccogli G. Mazzola M. Donateo A. Salzano R. Monzali M. de Blasi F. Larose C. Gallet J. -C. Decesari S. Spolaor A. |
author_facet |
Scoto F. Pappaccogli G. Mazzola M. Donateo A. Salzano R. Monzali M. de Blasi F. Larose C. Gallet J. -C. Decesari S. Spolaor A. |
author_sort |
Scoto F. |
title |
Automated observation of physical snowpack properties in Ny-Ålesund |
title_short |
Automated observation of physical snowpack properties in Ny-Ålesund |
title_full |
Automated observation of physical snowpack properties in Ny-Ålesund |
title_fullStr |
Automated observation of physical snowpack properties in Ny-Ålesund |
title_full_unstemmed |
Automated observation of physical snowpack properties in Ny-Ålesund |
title_sort |
automated observation of physical snowpack properties in ny-ålesund |
publishDate |
2023 |
url |
https://hdl.handle.net/11587/515146 https://doi.org/10.3389/feart.2023.1123981 |
geographic |
Arctic Svalbard Svalbard Archipelago |
geographic_facet |
Arctic Svalbard Svalbard Archipelago |
genre |
Arctic permafrost Spitzbergen Svalbard Tundra |
genre_facet |
Arctic permafrost Spitzbergen Svalbard Tundra |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000970783600001 volume:11 journal:FRONTIERS IN EARTH SCIENCE https://hdl.handle.net/11587/515146 doi:10.3389/feart.2023.1123981 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85153373580 |
op_doi |
https://doi.org/10.3389/feart.2023.1123981 |
container_title |
Frontiers in Earth Science |
container_volume |
11 |
_version_ |
1802641096951463936 |