Svalbard snow and sea-ice cover: comparing satellite data, on-site measurements, and modelling results (SvalSCESIA) ...

This is chapter 9 of the State of Environmental Science in Svalbard (SESS) report 2020 (https://sios-svalbard.org/SESS_Issue3). 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...

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Main Authors: Killie, Mari Anne, Aaboe, SIgne, Isaksen, Ketil, Van Pelt, Ward, Pedersen, Åshild Ø., Luks, Bartłomiej
Format: Text
Language:English
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.4293804
https://zenodo.org/record/4293804
id ftdatacite:10.5281/zenodo.4293804
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4293804 2024-09-30T14:30:23+00:00 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 https://dx.doi.org/10.5281/zenodo.4293804 https://zenodo.org/record/4293804 en eng Zenodo https://zenodo.org/communities/sios https://dx.doi.org/10.5281/zenodo.4293803 https://zenodo.org/communities/sios Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess In-situ modelling remote sensing sea-ice area snow cover extent Text Report report 2021 ftdatacite https://doi.org/10.5281/zenodo.429380410.5281/zenodo.4293803 2024-09-02T07:58:15Z This is chapter 9 of the State of Environmental Science in Svalbard (SESS) report 2020 (https://sios-svalbard.org/SESS_Issue3). 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 ... Text Arctic Arctic Ocean North Atlantic Sea ice Svalbard DataCite Arctic Arctic Ocean Svalbard
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic In-situ
modelling
remote sensing
sea-ice area
snow cover extent
spellingShingle In-situ
modelling
remote sensing
sea-ice area
snow cover extent
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 In-situ
modelling
remote sensing
sea-ice area
snow cover extent
description This is chapter 9 of the State of Environmental Science in Svalbard (SESS) report 2020 (https://sios-svalbard.org/SESS_Issue3). 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 ...
format Text
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 Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.4293804
https://zenodo.org/record/4293804
geographic Arctic
Arctic Ocean
Svalbard
geographic_facet Arctic
Arctic Ocean
Svalbard
genre Arctic
Arctic Ocean
North Atlantic
Sea ice
Svalbard
genre_facet Arctic
Arctic Ocean
North Atlantic
Sea ice
Svalbard
op_relation https://zenodo.org/communities/sios
https://dx.doi.org/10.5281/zenodo.4293803
https://zenodo.org/communities/sios
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.429380410.5281/zenodo.4293803
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