Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA)
Fundamental knowledge gaps and scaling issues hamper efforts to determine how changes in snow cover and snow distribution affect ecosystems. The presence of snow cover has huge impact on Arctic ecosystems, human activities, atmospheric processes and Earth’s surface energy balance. Mapping snow cover...
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Uppsala universitet, Luft-, vatten- och landskapslära
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ftuppsalauniv:oai:DiVA.org:uu-432349 2023-05-15T15:00:37+02:00 Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) Killie, Mari Anne Aaboe, Signe Isaksen, Ketil Van Pelt, Ward Pedersen, Åshild Ø. Luks, Bartłomiej 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432349 https://doi.org/10.5281/zenodo.4293804 eng eng Uppsala universitet, Luft-, vatten- och landskapslära Longyearbyen : Svalbard Integrated Arctic Earth Observing System SESS report, 2535-809X SESS report 2020 : The State of Environmental Science in Svalbard - an annual report, p. 220-235 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432349 urn:isbn:978-82-691528-8-3 urn:isbn:978-82-691528-9-0 doi:10.5281/zenodo.4293804 info:eu-repo/semantics/openAccess snow sea ice Svalbard observations modelling in-situ remote sensing sea-ice area snow cover extent Physical Geography Naturgeografi Chapter in book info:eu-repo/semantics/bookPart text 2021 ftuppsalauniv https://doi.org/10.5281/zenodo.4293804 2023-02-23T21:54:36Z Fundamental knowledge gaps and scaling issues hamper efforts to determine how changes in snow cover and snow distribution affect ecosystems. The presence of snow cover has huge impact on Arctic ecosystems, human activities, atmospheric processes and Earth’s surface energy balance. Mapping snow cover over large regions is challenging because of its variability over time and space. Also, the small number of weather stations that measure snow cover contributes to a poor observational base. Svalbard is located on the border between the ice-covered Arctic Ocean and the warmer North Atlantic, which means the sea is a controlling factor for Svalbard’s climate. By using remote sensing monitoring it is possible to get a better overview of snow conditions on land. This information can be compared with on-site observations of snow, output from snow models, and evaluated in relation to the sea-ice extent in the adjacent sea. A 34-year satellite data record for snow cover indicates that snow now starts melting more than a week earlier. The total number of snow-free days in summer is increasing fastest in regions dominated by lowland valleys and coastal plains. Most noticeable are the trends centred near the large valleys of Nordenskiöld Land. Negative trends dominate the extent of the sea ice as well. There is significant and positive correlation between sea-ice area and snow-cover extent at elevations up to 250 m in June, the month when snow melt begins. Snow melt, again, is probably strongly affected by ocean–air interactions and energy exchange when warm (or cold) winds from an open (or ice-covered) ocean come in over land. Book Part Arctic Arctic Ocean Nordenskiöld Land North Atlantic Sea ice Svalbard Uppsala University: Publications (DiVA) Arctic Arctic Ocean Nordenskiöld Land ENVELOPE(15.000,15.000,77.833,77.833) Svalbard |
institution |
Open Polar |
collection |
Uppsala University: Publications (DiVA) |
op_collection_id |
ftuppsalauniv |
language |
English |
topic |
snow sea ice Svalbard observations modelling in-situ remote sensing sea-ice area snow cover extent Physical Geography Naturgeografi |
spellingShingle |
snow sea ice Svalbard observations modelling in-situ remote sensing sea-ice area snow cover extent Physical Geography Naturgeografi Killie, Mari Anne Aaboe, Signe Isaksen, Ketil Van Pelt, Ward Pedersen, Åshild Ø. Luks, Bartłomiej Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) |
topic_facet |
snow sea ice Svalbard observations modelling in-situ remote sensing sea-ice area snow cover extent Physical Geography Naturgeografi |
description |
Fundamental knowledge gaps and scaling issues hamper efforts to determine how changes in snow cover and snow distribution affect ecosystems. The presence of snow cover has huge impact on Arctic ecosystems, human activities, atmospheric processes and Earth’s surface energy balance. Mapping snow cover over large regions is challenging because of its variability over time and space. Also, the small number of weather stations that measure snow cover contributes to a poor observational base. Svalbard is located on the border between the ice-covered Arctic Ocean and the warmer North Atlantic, which means the sea is a controlling factor for Svalbard’s climate. By using remote sensing monitoring it is possible to get a better overview of snow conditions on land. This information can be compared with on-site observations of snow, output from snow models, and evaluated in relation to the sea-ice extent in the adjacent sea. A 34-year satellite data record for snow cover indicates that snow now starts melting more than a week earlier. The total number of snow-free days in summer is increasing fastest in regions dominated by lowland valleys and coastal plains. Most noticeable are the trends centred near the large valleys of Nordenskiöld Land. Negative trends dominate the extent of the sea ice as well. There is significant and positive correlation between sea-ice area and snow-cover extent at elevations up to 250 m in June, the month when snow melt begins. Snow melt, again, is probably strongly affected by ocean–air interactions and energy exchange when warm (or cold) winds from an open (or ice-covered) ocean come in over land. |
format |
Book Part |
author |
Killie, Mari Anne Aaboe, Signe Isaksen, Ketil Van Pelt, Ward Pedersen, Åshild Ø. Luks, Bartłomiej |
author_facet |
Killie, Mari Anne Aaboe, Signe Isaksen, Ketil Van Pelt, Ward Pedersen, Åshild Ø. Luks, Bartłomiej |
author_sort |
Killie, Mari Anne |
title |
Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) |
title_short |
Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) |
title_full |
Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) |
title_fullStr |
Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) |
title_full_unstemmed |
Svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) |
title_sort |
svalbard snow and sea-ice cover : comparing satellite data, on-site measurements, and modelling results (svalscesia) |
publisher |
Uppsala universitet, Luft-, vatten- och landskapslära |
publishDate |
2021 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432349 https://doi.org/10.5281/zenodo.4293804 |
long_lat |
ENVELOPE(15.000,15.000,77.833,77.833) |
geographic |
Arctic Arctic Ocean Nordenskiöld Land Svalbard |
geographic_facet |
Arctic Arctic Ocean Nordenskiöld Land Svalbard |
genre |
Arctic Arctic Ocean Nordenskiöld Land North Atlantic Sea ice Svalbard |
genre_facet |
Arctic Arctic Ocean Nordenskiöld Land North Atlantic Sea ice Svalbard |
op_relation |
SESS report, 2535-809X SESS report 2020 : The State of Environmental Science in Svalbard - an annual report, p. 220-235 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432349 urn:isbn:978-82-691528-8-3 urn:isbn:978-82-691528-9-0 doi:10.5281/zenodo.4293804 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.4293804 |
_version_ |
1766332694384345088 |