Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy
Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our v...
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Online Access: | http://www.osti.gov/servlets/purl/1902642 https://www.osti.gov/biblio/1902642 https://doi.org/10.1038/s41467-022-34049-3 |
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ftosti:oai:osti.gov:1902642 2023-07-30T04:00:51+02:00 Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy Oehi, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grunberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugenie Susanne Chacko, Merin Reji Sullivan, Ryan C. 2023-02-23 application/pdf http://www.osti.gov/servlets/purl/1902642 https://www.osti.gov/biblio/1902642 https://doi.org/10.1038/s41467-022-34049-3 unknown http://www.osti.gov/servlets/purl/1902642 https://www.osti.gov/biblio/1902642 https://doi.org/10.1038/s41467-022-34049-3 doi:10.1038/s41467-022-34049-3 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.1038/s41467-022-34049-3 2023-07-11T10:16:38Z Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm -2 ) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types. Other/Unknown Material Arctic permafrost SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Nature Communications 13 1 |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
op_collection_id |
ftosti |
language |
unknown |
topic |
54 ENVIRONMENTAL SCIENCES |
spellingShingle |
54 ENVIRONMENTAL SCIENCES Oehi, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grunberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugenie Susanne Chacko, Merin Reji Sullivan, Ryan C. Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm -2 ) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types. |
author |
Oehi, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grunberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugenie Susanne Chacko, Merin Reji Sullivan, Ryan C. |
author_facet |
Oehi, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grunberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugenie Susanne Chacko, Merin Reji Sullivan, Ryan C. |
author_sort |
Oehi, Jacqueline |
title |
Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy |
title_short |
Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy |
title_full |
Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy |
title_fullStr |
Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy |
title_full_unstemmed |
Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy |
title_sort |
vegetation type is an important predictor of the arctic summer land surface energy |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1902642 https://www.osti.gov/biblio/1902642 https://doi.org/10.1038/s41467-022-34049-3 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_relation |
http://www.osti.gov/servlets/purl/1902642 https://www.osti.gov/biblio/1902642 https://doi.org/10.1038/s41467-022-34049-3 doi:10.1038/s41467-022-34049-3 |
op_doi |
https://doi.org/10.1038/s41467-022-34049-3 |
container_title |
Nature Communications |
container_volume |
13 |
container_issue |
1 |
_version_ |
1772811541269184512 |