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Active Layer Thickness Variation on the Qinghai‐Tibetan Plateau: Historical and Projected Trends
As the buffer layer between the atmosphere and permafrost, the active layer is vulnerable to climate change. The variation in the active layer thickness (ALT) has important effects on surface energy balance, ecosystem, hydrological cycle, vegetation cover, and engineering construction in permafrost...
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Published in: | Journal of geophysical research. Atmospheres 2021-12, Vol.126 (23), p.n/a |
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description | As the buffer layer between the atmosphere and permafrost, the active layer is vulnerable to climate change. The variation in the active layer thickness (ALT) has important effects on surface energy balance, ecosystem, hydrological cycle, vegetation cover, and engineering construction in permafrost regions. The goal of this study is to discuss the active layer variation under different shared socioeconomic pathways (SSPs) for specific warming levels and to reveal the potential interactions between the ALT and the associated driving factors in typical hydrological basins. We revised the Stefan solution using the edaphic factor and the thawing index calculated by multimodel data from the Coupled Model Intercomparison Project Phase 6 to estimate the variation in the ALT. During 2015 to 2100, the ALT will increase by 14 cm (SSP1‐2.6), 43 cm (SSP2‐4.5), and 1.44 m (SSP5‐8.5), with average increase rates of 2.5 cm/decade, 5.8 cm/decade, and 17.5 cm/decade, respectively. The rates of increase of the ALT in the Hexi basin, Inner basin, Mekong basin, Yangtze basin, and Yellow basin are 12.6 cm/decade, 6.7 cm/decade, 5.2 cm/decade, 8.0 cm/decade, and 5 cm/decade, respectively. These results illustrate that air temperature is the primary determinant of ALT variation and normalized difference vegetation index (NDVI) and snow depth may influence the ALT change. The most significant correlations are between the ALT and NDVI in the Yangtze basin. In different seasons, the spring snow depth has the greatest impact on the ALT in the Hexi basin.
Key Points
The modified Stefan solution was used to estimate the active layer thickness (ALT) variation in typical hydrological basins under different shared socioeconomic pathways
The ALT exhibits an increasing trend in the Hexi, Inner, Mekong, Yangtze, and Yellow basins, but the trends are spatially heterogeneous
Changes in air temperature have stronger control on the ALT than precipitation, snow depth, and normalized difference vegetation index |
doi_str_mv | 10.1029/2021JD034841 |
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Key Points
The modified Stefan solution was used to estimate the active layer thickness (ALT) variation in typical hydrological basins under different shared socioeconomic pathways
The ALT exhibits an increasing trend in the Hexi, Inner, Mekong, Yangtze, and Yellow basins, but the trends are spatially heterogeneous
Changes in air temperature have stronger control on the ALT than precipitation, snow depth, and normalized difference vegetation index</description><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2021JD034841</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Active layer ; active layer thickness ; Air temperature ; Buffer layers ; Climate change ; Energy balance ; Geophysics ; Hydrologic cycle ; hydrological basins ; Hydrological cycle ; Hydrology ; Intercomparison ; Mathematical analysis ; NDVI ; Normalized difference vegetative index ; Permafrost ; Plant cover ; Qinghai‐Tibetan Plateau ; Snow ; Snow accumulation ; Snow depth ; Surface energy ; Surface energy balance ; Surface properties ; Thawing ; Thickness ; Variation ; Vegetation ; Vegetation cover ; Vegetation index</subject><ispartof>Journal of geophysical research. Atmospheres, 2021-12, Vol.126 (23), p.n/a</ispartof><rights>2021. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3307-61804ef1faf3a271f91a488ccbd19fe0d36390c380295380640d8d4b375910423</citedby><cites>FETCH-LOGICAL-a3307-61804ef1faf3a271f91a488ccbd19fe0d36390c380295380640d8d4b375910423</cites><orcidid>0000-0002-1693-8584 ; 0000-0002-7965-0975</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Xu, Xiaoming</creatorcontrib><creatorcontrib>Wu, Qingbai</creatorcontrib><title>Active Layer Thickness Variation on the Qinghai‐Tibetan Plateau: Historical and Projected Trends</title><title>Journal of geophysical research. Atmospheres</title><description>As the buffer layer between the atmosphere and permafrost, the active layer is vulnerable to climate change. The variation in the active layer thickness (ALT) has important effects on surface energy balance, ecosystem, hydrological cycle, vegetation cover, and engineering construction in permafrost regions. The goal of this study is to discuss the active layer variation under different shared socioeconomic pathways (SSPs) for specific warming levels and to reveal the potential interactions between the ALT and the associated driving factors in typical hydrological basins. We revised the Stefan solution using the edaphic factor and the thawing index calculated by multimodel data from the Coupled Model Intercomparison Project Phase 6 to estimate the variation in the ALT. During 2015 to 2100, the ALT will increase by 14 cm (SSP1‐2.6), 43 cm (SSP2‐4.5), and 1.44 m (SSP5‐8.5), with average increase rates of 2.5 cm/decade, 5.8 cm/decade, and 17.5 cm/decade, respectively. The rates of increase of the ALT in the Hexi basin, Inner basin, Mekong basin, Yangtze basin, and Yellow basin are 12.6 cm/decade, 6.7 cm/decade, 5.2 cm/decade, 8.0 cm/decade, and 5 cm/decade, respectively. These results illustrate that air temperature is the primary determinant of ALT variation and normalized difference vegetation index (NDVI) and snow depth may influence the ALT change. The most significant correlations are between the ALT and NDVI in the Yangtze basin. In different seasons, the spring snow depth has the greatest impact on the ALT in the Hexi basin.
Key Points
The modified Stefan solution was used to estimate the active layer thickness (ALT) variation in typical hydrological basins under different shared socioeconomic pathways
The ALT exhibits an increasing trend in the Hexi, Inner, Mekong, Yangtze, and Yellow basins, but the trends are spatially heterogeneous
Changes in air temperature have stronger control on the ALT than precipitation, snow depth, and normalized difference vegetation index</description><subject>Active layer</subject><subject>active layer thickness</subject><subject>Air temperature</subject><subject>Buffer layers</subject><subject>Climate change</subject><subject>Energy balance</subject><subject>Geophysics</subject><subject>Hydrologic cycle</subject><subject>hydrological basins</subject><subject>Hydrological cycle</subject><subject>Hydrology</subject><subject>Intercomparison</subject><subject>Mathematical analysis</subject><subject>NDVI</subject><subject>Normalized difference vegetative index</subject><subject>Permafrost</subject><subject>Plant cover</subject><subject>Qinghai‐Tibetan Plateau</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>Snow depth</subject><subject>Surface energy</subject><subject>Surface energy balance</subject><subject>Surface properties</subject><subject>Thawing</subject><subject>Thickness</subject><subject>Variation</subject><subject>Vegetation</subject><subject>Vegetation cover</subject><subject>Vegetation index</subject><issn>2169-897X</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp90FFLwzAQAOAgCg7dmz8g4KvVpEnbxLex6eYYOKWKbyVNry6ztjPJlL35E_yN_hIjE_HJ47jk4eOOO4SOKDmlJJZnMYnpdEQYF5zuoF5MUxkJKdPd33_2sI_6zi1JCBFgwnuoHGhvXgHP1AYszhdGP7XgHL5X1ihvuhaH9AvAN6Z9XCjz-f6RmxK8avG8UR7U-hxPjPOdNVo1WLUVnttuCdpDhXMLbeUO0V6tGgf9n_cA3V1e5MNJNLseXw0Hs0gxRrIopYJwqGmtaqbijNaSKi6E1mVFZQ2kYimTRDMRlk1CTTmpRMVLliWSEh6zA3S87buy3csanC-W3dq2YWQRp0QwFiQN6mSrtO2cs1AXK2ueld0UlBTfhyz-HjJwtuVvpoHNv7aYjm9HScZFxr4A3UBzpA</recordid><startdate>20211216</startdate><enddate>20211216</enddate><creator>Xu, Xiaoming</creator><creator>Wu, Qingbai</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-1693-8584</orcidid><orcidid>https://orcid.org/0000-0002-7965-0975</orcidid></search><sort><creationdate>20211216</creationdate><title>Active Layer Thickness Variation on the Qinghai‐Tibetan Plateau: Historical and Projected Trends</title><author>Xu, Xiaoming ; Wu, Qingbai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3307-61804ef1faf3a271f91a488ccbd19fe0d36390c380295380640d8d4b375910423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Active layer</topic><topic>active layer thickness</topic><topic>Air temperature</topic><topic>Buffer layers</topic><topic>Climate change</topic><topic>Energy balance</topic><topic>Geophysics</topic><topic>Hydrologic cycle</topic><topic>hydrological basins</topic><topic>Hydrological cycle</topic><topic>Hydrology</topic><topic>Intercomparison</topic><topic>Mathematical analysis</topic><topic>NDVI</topic><topic>Normalized difference vegetative index</topic><topic>Permafrost</topic><topic>Plant cover</topic><topic>Qinghai‐Tibetan Plateau</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>Snow depth</topic><topic>Surface energy</topic><topic>Surface energy balance</topic><topic>Surface properties</topic><topic>Thawing</topic><topic>Thickness</topic><topic>Variation</topic><topic>Vegetation</topic><topic>Vegetation cover</topic><topic>Vegetation index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Xiaoming</creatorcontrib><creatorcontrib>Wu, Qingbai</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Xiaoming</au><au>Wu, Qingbai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Active Layer Thickness Variation on the Qinghai‐Tibetan Plateau: Historical and Projected Trends</atitle><jtitle>Journal of geophysical research. Atmospheres</jtitle><date>2021-12-16</date><risdate>2021</risdate><volume>126</volume><issue>23</issue><epage>n/a</epage><issn>2169-897X</issn><eissn>2169-8996</eissn><abstract>As the buffer layer between the atmosphere and permafrost, the active layer is vulnerable to climate change. The variation in the active layer thickness (ALT) has important effects on surface energy balance, ecosystem, hydrological cycle, vegetation cover, and engineering construction in permafrost regions. The goal of this study is to discuss the active layer variation under different shared socioeconomic pathways (SSPs) for specific warming levels and to reveal the potential interactions between the ALT and the associated driving factors in typical hydrological basins. We revised the Stefan solution using the edaphic factor and the thawing index calculated by multimodel data from the Coupled Model Intercomparison Project Phase 6 to estimate the variation in the ALT. During 2015 to 2100, the ALT will increase by 14 cm (SSP1‐2.6), 43 cm (SSP2‐4.5), and 1.44 m (SSP5‐8.5), with average increase rates of 2.5 cm/decade, 5.8 cm/decade, and 17.5 cm/decade, respectively. The rates of increase of the ALT in the Hexi basin, Inner basin, Mekong basin, Yangtze basin, and Yellow basin are 12.6 cm/decade, 6.7 cm/decade, 5.2 cm/decade, 8.0 cm/decade, and 5 cm/decade, respectively. These results illustrate that air temperature is the primary determinant of ALT variation and normalized difference vegetation index (NDVI) and snow depth may influence the ALT change. The most significant correlations are between the ALT and NDVI in the Yangtze basin. In different seasons, the spring snow depth has the greatest impact on the ALT in the Hexi basin.
Key Points
The modified Stefan solution was used to estimate the active layer thickness (ALT) variation in typical hydrological basins under different shared socioeconomic pathways
The ALT exhibits an increasing trend in the Hexi, Inner, Mekong, Yangtze, and Yellow basins, but the trends are spatially heterogeneous
Changes in air temperature have stronger control on the ALT than precipitation, snow depth, and normalized difference vegetation index</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2021JD034841</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-1693-8584</orcidid><orcidid>https://orcid.org/0000-0002-7965-0975</orcidid></addata></record> |
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subjects | Active layer active layer thickness Air temperature Buffer layers Climate change Energy balance Geophysics Hydrologic cycle hydrological basins Hydrological cycle Hydrology Intercomparison Mathematical analysis NDVI Normalized difference vegetative index Permafrost Plant cover Qinghai‐Tibetan Plateau Snow Snow accumulation Snow depth Surface energy Surface energy balance Surface properties Thawing Thickness Variation Vegetation Vegetation cover Vegetation index |
title | Active Layer Thickness Variation on the Qinghai‐Tibetan Plateau: Historical and Projected Trends |
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