A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability

The climate in Svalbard has been warming dramatically compared with the global average for the last few decades. Seasonal snow cover, which is sensitive to temperature and precipitation changes, is therefore expected to undergo both spatial and temporal changes in response to the changing climate in...

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Main Authors: Vickers, Hannah, Karlsen, Stein Rune, Malnes, Eirik
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/11250/2725388
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spelling ftnorce:oai:norceresearch.brage.unit.no:11250/2725388 2023-05-15T17:24:13+02:00 A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability Vickers, Hannah Karlsen, Stein Rune Malnes, Eirik 2020 application/pdf https://hdl.handle.net/11250/2725388 eng eng Remote Sensing. 2020, 12 (7), 1123-?. urn:issn:2072-4292 https://hdl.handle.net/11250/2725388 cristin:1868761 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2020, Authors CC-BY Remote Sensing 12 7 1123-? Peer reviewed Journal article 2020 ftnorce 2022-10-13T05:50:18Z The climate in Svalbard has been warming dramatically compared with the global average for the last few decades. Seasonal snow cover, which is sensitive to temperature and precipitation changes, is therefore expected to undergo both spatial and temporal changes in response to the changing climate in Svalbard. This will in turn have implications for timing of terrestrial productivity, which is closely linked to the disappearance of seasonal snow. We have produced a 20-year snow cover fraction time series for the Svalbard archipelago, derived from MODIS (Moderate Resolution Imaging Spectroradiometer) Terra data to map and identify changes in the timing of the first snow-free day (FSFD) for the period 2000–2019. Moreover, we investigate the influence of sea ice concentration (SIC) variations on FSFD and how FSFD is related to the start of the phenological growing season in Svalbard. Our results revealed clear patterns of earlier FSFD in the southern and central parts of the archipelago, while the northernmost parts exhibit little change or trend toward later FSFD, resulting in weaker trends in summer and winter duration. We found that FSFD preceded the onset of the phenological growing season with an average di erence of 12.4 days for the entire archipelago, but with large regional variations that are indicative of temperature dependence. Lastly, we found a significant correlation between variations of time-integrated SIC and variations in FSFD, which maximizes when correlating SIC northeast of Svalbard with FSFD averaged over Nordaustlandet. Prolonged sea ice cover in the spring was correlated with late snow disappearance, while lower-than-average sea ice cover correlated with early snow disappearance, indicating that proximity to sea ice plays an important role in regulating the timing of snow disappearance on land through influencing the regional air temperature and therefore rate of spring snowmelt. publishedVersion Article in Journal/Newspaper Nordaustlandet Sea ice Svalbard NORCE vitenarkiv (Norwegian Research Centre) Nordaustlandet ENVELOPE(22.400,22.400,79.800,79.800) Svalbard Svalbard Archipelago
institution Open Polar
collection NORCE vitenarkiv (Norwegian Research Centre)
op_collection_id ftnorce
language English
description The climate in Svalbard has been warming dramatically compared with the global average for the last few decades. Seasonal snow cover, which is sensitive to temperature and precipitation changes, is therefore expected to undergo both spatial and temporal changes in response to the changing climate in Svalbard. This will in turn have implications for timing of terrestrial productivity, which is closely linked to the disappearance of seasonal snow. We have produced a 20-year snow cover fraction time series for the Svalbard archipelago, derived from MODIS (Moderate Resolution Imaging Spectroradiometer) Terra data to map and identify changes in the timing of the first snow-free day (FSFD) for the period 2000–2019. Moreover, we investigate the influence of sea ice concentration (SIC) variations on FSFD and how FSFD is related to the start of the phenological growing season in Svalbard. Our results revealed clear patterns of earlier FSFD in the southern and central parts of the archipelago, while the northernmost parts exhibit little change or trend toward later FSFD, resulting in weaker trends in summer and winter duration. We found that FSFD preceded the onset of the phenological growing season with an average di erence of 12.4 days for the entire archipelago, but with large regional variations that are indicative of temperature dependence. Lastly, we found a significant correlation between variations of time-integrated SIC and variations in FSFD, which maximizes when correlating SIC northeast of Svalbard with FSFD averaged over Nordaustlandet. Prolonged sea ice cover in the spring was correlated with late snow disappearance, while lower-than-average sea ice cover correlated with early snow disappearance, indicating that proximity to sea ice plays an important role in regulating the timing of snow disappearance on land through influencing the regional air temperature and therefore rate of spring snowmelt. publishedVersion
format Article in Journal/Newspaper
author Vickers, Hannah
Karlsen, Stein Rune
Malnes, Eirik
spellingShingle Vickers, Hannah
Karlsen, Stein Rune
Malnes, Eirik
A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
author_facet Vickers, Hannah
Karlsen, Stein Rune
Malnes, Eirik
author_sort Vickers, Hannah
title A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
title_short A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
title_full A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
title_fullStr A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
title_full_unstemmed A 20-Year MODIS-Based Snow Cover Dataset for Svalbard and Its Link to Phenological Timing and Sea Ice Variability
title_sort 20-year modis-based snow cover dataset for svalbard and its link to phenological timing and sea ice variability
publishDate 2020
url https://hdl.handle.net/11250/2725388
long_lat ENVELOPE(22.400,22.400,79.800,79.800)
geographic Nordaustlandet
Svalbard
Svalbard Archipelago
geographic_facet Nordaustlandet
Svalbard
Svalbard Archipelago
genre Nordaustlandet
Sea ice
Svalbard
genre_facet Nordaustlandet
Sea ice
Svalbard
op_source Remote Sensing
12
7
1123-?
op_relation Remote Sensing. 2020, 12 (7), 1123-?.
urn:issn:2072-4292
https://hdl.handle.net/11250/2725388
cristin:1868761
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
© 2020, Authors
op_rightsnorm CC-BY
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