Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data
Global climate change is expected to cause a strong temperature increase in the polar regions, accompanied by a reduction in snow cover. Due to a lower albedo, bare ground absorbs more solar energy and its temperature can increase more. Here, we show that vegetation growth in such bare ground areas...
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MDPI AG
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Online Access: | https://doi.org/10.3390/rs12203395 https://doaj.org/article/91273c04173542a98878810074430f6a |
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ftdoajarticles:oai:doaj.org/article:91273c04173542a98878810074430f6a 2023-05-15T13:11:06+02:00 Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data Václav Nedbal Kamil Láska Jakub Brom 2020-10-01T00:00:00Z https://doi.org/10.3390/rs12203395 https://doaj.org/article/91273c04173542a98878810074430f6a EN eng MDPI AG https://www.mdpi.com/2072-4292/12/20/3395 https://doaj.org/toc/2072-4292 doi:10.3390/rs12203395 2072-4292 https://doaj.org/article/91273c04173542a98878810074430f6a Remote Sensing, Vol 12, Iss 3395, p 3395 (2020) solar energy distribution arctic tundra surface energy balance vegetation and evapotranspiration LANDSAT vegetation cooling Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12203395 2022-12-31T16:17:21Z Global climate change is expected to cause a strong temperature increase in the polar regions, accompanied by a reduction in snow cover. Due to a lower albedo, bare ground absorbs more solar energy and its temperature can increase more. Here, we show that vegetation growth in such bare ground areas can efficiently mitigate surface warming in the Arctic, thanks to plant evapotranspiration. In order to establish a comprehensive energy balance for the Arctic land surface, we used an ensemble of methods of ground-based measurements and multispectral satellite image analysis. Our estimate is that the low vegetation of polar tundra transforms 26% more solar energy into evapotranspiration than bare ground in clear sky weather. Due to its isolation properties, vegetation further reduces ground heat flux under the surface by ~4%, compared to bare areas, thus lowering the increase in subsurface temperature. As a result, ~22% less solar energy can be transformed into sensible heat flux at vegetated surfaces as opposed to bare ground, bringing about a decrease in surface temperature of ~7.8 °C. Article in Journal/Newspaper albedo Arctic Climate change Tundra Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 12 20 3395 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
solar energy distribution arctic tundra surface energy balance vegetation and evapotranspiration LANDSAT vegetation cooling Science Q |
spellingShingle |
solar energy distribution arctic tundra surface energy balance vegetation and evapotranspiration LANDSAT vegetation cooling Science Q Václav Nedbal Kamil Láska Jakub Brom Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data |
topic_facet |
solar energy distribution arctic tundra surface energy balance vegetation and evapotranspiration LANDSAT vegetation cooling Science Q |
description |
Global climate change is expected to cause a strong temperature increase in the polar regions, accompanied by a reduction in snow cover. Due to a lower albedo, bare ground absorbs more solar energy and its temperature can increase more. Here, we show that vegetation growth in such bare ground areas can efficiently mitigate surface warming in the Arctic, thanks to plant evapotranspiration. In order to establish a comprehensive energy balance for the Arctic land surface, we used an ensemble of methods of ground-based measurements and multispectral satellite image analysis. Our estimate is that the low vegetation of polar tundra transforms 26% more solar energy into evapotranspiration than bare ground in clear sky weather. Due to its isolation properties, vegetation further reduces ground heat flux under the surface by ~4%, compared to bare areas, thus lowering the increase in subsurface temperature. As a result, ~22% less solar energy can be transformed into sensible heat flux at vegetated surfaces as opposed to bare ground, bringing about a decrease in surface temperature of ~7.8 °C. |
format |
Article in Journal/Newspaper |
author |
Václav Nedbal Kamil Láska Jakub Brom |
author_facet |
Václav Nedbal Kamil Láska Jakub Brom |
author_sort |
Václav Nedbal |
title |
Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data |
title_short |
Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data |
title_full |
Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data |
title_fullStr |
Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data |
title_full_unstemmed |
Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data |
title_sort |
mitigation of arctic tundra surface warming by plant evapotranspiration: complete energy balance component estimation using landsat satellite data |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12203395 https://doaj.org/article/91273c04173542a98878810074430f6a |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Climate change Tundra |
genre_facet |
albedo Arctic Climate change Tundra |
op_source |
Remote Sensing, Vol 12, Iss 3395, p 3395 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/20/3395 https://doaj.org/toc/2072-4292 doi:10.3390/rs12203395 2072-4292 https://doaj.org/article/91273c04173542a98878810074430f6a |
op_doi |
https://doi.org/10.3390/rs12203395 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
20 |
container_start_page |
3395 |
_version_ |
1766245919011897344 |