Land surface temperature variations in the Yunnan Province of Southwest China
High-altitude areas are thought to be more sensitive to climate change, but long-term series of land surface temperature (LST) observations are still inadequate in low-latitude high-altitude mountainous areas. We investigated spatiotemporal variations in the LST and its dominant driving factors at d...
Gespeichert in:
Veröffentlicht in: | Environmental monitoring and assessment 2024-12, Vol.197 (1), p.65 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 65 |
container_title | Environmental monitoring and assessment |
container_volume | 197 |
creator | Huo, Hong Sun, Changping |
description | High-altitude areas are thought to be more sensitive to climate change, but long-term series of land surface temperature (LST) observations are still inadequate in low-latitude high-altitude mountainous areas. We investigated spatiotemporal variations in the LST and its dominant driving factors at different time scales based on the long-term series (2001 − 2020) of MODIS data over the Yunnan Province (YNP) in southwest China, with a special focus on elevation-dependent warming (EDW). The results indicated that annual LST generally increased at a rate of 0.18 °C decade
−1
over the past 20 years, and the increase was stronger in summer (0.47 °C decade
−1
). Moreover, the nighttime warming rate (0.43 °C decade
−1
) was much faster than that during the daytime (− 0.08 °C decade
−1
), indicating that there was an asymmetric diurnal warming. We also confirmed the presence of EDW, which behaves more greatly above 3500 m. Spatially, the warming trend in high-cold mountains, hot-dry river valleys and the tropics was obvious, while the trend in the northeastern YNP and western side of the Ailao Mountains was opposite. On the timescales of annual, autumn and winter, more than 60% of the LST in the study area was mainly affected by temperature, and 20% ~ 30% was affected by precipitation. LST and warming trend largely differenced with respect to land cover types, with the highest values occurring in built-up lands. This research is expected to contribute to a better understanding of climate change processes in the YNP. |
doi_str_mv | 10.1007/s10661-024-13555-5 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_3146925793</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3145924050</sourcerecordid><originalsourceid>FETCH-LOGICAL-p1285-fb1cbef7faad0e393823866d997cb0188dfb608d3502413c676cf7b6f1d4ceba3</originalsourceid><addsrcrecordid>eNpd0U1LAzEQBuAgiq3VP-BBAl68RJPN5usoxS-oKKgHTyG7m9gtbXZNNhX_valVBE85zMPMZF4Ajgk-JxiLi0gw5wThokSEMsYQ2wFjwgRFhWJqF4wx4QJxytUIHMS4wBgrUap9MKKKSym4GoP7mfENjCk4U1s42FVvgxlSsHBtQmuGtvMRth4Ocwtfk_fGw8fQrVufdefgU5eG-YeNA5zOW28OwZ4zy2iPft4JeLm-ep7eotnDzd30coZ6UkiGXEXqyjrhjGmwpYrKgkrOG6VEXWEiZeMqjmVDWf4boTUXvHai4o40ZW0rQyfgbNu3D917yuP1qo21XS6Nt12KmpKSq4IJRTM9_UcXXQo-b7dRTBUlZjirkx-VqpVtdB_alQmf-vdQGdAtiLnk32z4a0Ow3sSht3HovLL-jkMz-gUmPHqJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3145924050</pqid></control><display><type>article</type><title>Land surface temperature variations in the Yunnan Province of Southwest China</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Huo, Hong ; Sun, Changping</creator><creatorcontrib>Huo, Hong ; Sun, Changping</creatorcontrib><description>High-altitude areas are thought to be more sensitive to climate change, but long-term series of land surface temperature (LST) observations are still inadequate in low-latitude high-altitude mountainous areas. We investigated spatiotemporal variations in the LST and its dominant driving factors at different time scales based on the long-term series (2001 − 2020) of MODIS data over the Yunnan Province (YNP) in southwest China, with a special focus on elevation-dependent warming (EDW). The results indicated that annual LST generally increased at a rate of 0.18 °C decade
−1
over the past 20 years, and the increase was stronger in summer (0.47 °C decade
−1
). Moreover, the nighttime warming rate (0.43 °C decade
−1
) was much faster than that during the daytime (− 0.08 °C decade
−1
), indicating that there was an asymmetric diurnal warming. We also confirmed the presence of EDW, which behaves more greatly above 3500 m. Spatially, the warming trend in high-cold mountains, hot-dry river valleys and the tropics was obvious, while the trend in the northeastern YNP and western side of the Ailao Mountains was opposite. On the timescales of annual, autumn and winter, more than 60% of the LST in the study area was mainly affected by temperature, and 20% ~ 30% was affected by precipitation. LST and warming trend largely differenced with respect to land cover types, with the highest values occurring in built-up lands. This research is expected to contribute to a better understanding of climate change processes in the YNP.</description><identifier>ISSN: 0167-6369</identifier><identifier>ISSN: 1573-2959</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-024-13555-5</identifier><identifier>PMID: 39688769</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Altitude ; Atmospheric Protection/Air Quality Control/Air Pollution ; China ; Climate Change ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; High altitude ; High-altitude environments ; Land cover ; Land surface temperature ; MODIS ; Monitoring/Environmental Analysis ; Mountain regions ; Mountainous areas ; Mountains ; River valleys ; Seasonal variations ; Seasons ; Surface temperature ; Temperature ; Temperature variations ; Tropical environments</subject><ispartof>Environmental monitoring and assessment, 2024-12, Vol.197 (1), p.65</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>Copyright Springer Nature B.V. Jan 2025</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-024-13555-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-024-13555-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39688769$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huo, Hong</creatorcontrib><creatorcontrib>Sun, Changping</creatorcontrib><title>Land surface temperature variations in the Yunnan Province of Southwest China</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>High-altitude areas are thought to be more sensitive to climate change, but long-term series of land surface temperature (LST) observations are still inadequate in low-latitude high-altitude mountainous areas. We investigated spatiotemporal variations in the LST and its dominant driving factors at different time scales based on the long-term series (2001 − 2020) of MODIS data over the Yunnan Province (YNP) in southwest China, with a special focus on elevation-dependent warming (EDW). The results indicated that annual LST generally increased at a rate of 0.18 °C decade
−1
over the past 20 years, and the increase was stronger in summer (0.47 °C decade
−1
). Moreover, the nighttime warming rate (0.43 °C decade
−1
) was much faster than that during the daytime (− 0.08 °C decade
−1
), indicating that there was an asymmetric diurnal warming. We also confirmed the presence of EDW, which behaves more greatly above 3500 m. Spatially, the warming trend in high-cold mountains, hot-dry river valleys and the tropics was obvious, while the trend in the northeastern YNP and western side of the Ailao Mountains was opposite. On the timescales of annual, autumn and winter, more than 60% of the LST in the study area was mainly affected by temperature, and 20% ~ 30% was affected by precipitation. LST and warming trend largely differenced with respect to land cover types, with the highest values occurring in built-up lands. This research is expected to contribute to a better understanding of climate change processes in the YNP.</description><subject>Altitude</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>China</subject><subject>Climate Change</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>High altitude</subject><subject>High-altitude environments</subject><subject>Land cover</subject><subject>Land surface temperature</subject><subject>MODIS</subject><subject>Monitoring/Environmental Analysis</subject><subject>Mountain regions</subject><subject>Mountainous areas</subject><subject>Mountains</subject><subject>River valleys</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Surface temperature</subject><subject>Temperature</subject><subject>Temperature variations</subject><subject>Tropical environments</subject><issn>0167-6369</issn><issn>1573-2959</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0U1LAzEQBuAgiq3VP-BBAl68RJPN5usoxS-oKKgHTyG7m9gtbXZNNhX_valVBE85zMPMZF4Ajgk-JxiLi0gw5wThokSEMsYQ2wFjwgRFhWJqF4wx4QJxytUIHMS4wBgrUap9MKKKSym4GoP7mfENjCk4U1s42FVvgxlSsHBtQmuGtvMRth4Ocwtfk_fGw8fQrVufdefgU5eG-YeNA5zOW28OwZ4zy2iPft4JeLm-ep7eotnDzd30coZ6UkiGXEXqyjrhjGmwpYrKgkrOG6VEXWEiZeMqjmVDWf4boTUXvHai4o40ZW0rQyfgbNu3D917yuP1qo21XS6Nt12KmpKSq4IJRTM9_UcXXQo-b7dRTBUlZjirkx-VqpVtdB_alQmf-vdQGdAtiLnk32z4a0Ow3sSht3HovLL-jkMz-gUmPHqJ</recordid><startdate>20241217</startdate><enddate>20241217</enddate><creator>Huo, Hong</creator><creator>Sun, Changping</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>K9.</scope><scope>KL.</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20241217</creationdate><title>Land surface temperature variations in the Yunnan Province of Southwest China</title><author>Huo, Hong ; Sun, Changping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1285-fb1cbef7faad0e393823866d997cb0188dfb608d3502413c676cf7b6f1d4ceba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Altitude</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>China</topic><topic>Climate Change</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Management</topic><topic>Environmental Monitoring</topic><topic>High altitude</topic><topic>High-altitude environments</topic><topic>Land cover</topic><topic>Land surface temperature</topic><topic>MODIS</topic><topic>Monitoring/Environmental Analysis</topic><topic>Mountain regions</topic><topic>Mountainous areas</topic><topic>Mountains</topic><topic>River valleys</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Surface temperature</topic><topic>Temperature</topic><topic>Temperature variations</topic><topic>Tropical environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huo, Hong</creatorcontrib><creatorcontrib>Sun, Changping</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology 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>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huo, Hong</au><au>Sun, Changping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Land surface temperature variations in the Yunnan Province of Southwest China</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2024-12-17</date><risdate>2024</risdate><volume>197</volume><issue>1</issue><spage>65</spage><pages>65-</pages><issn>0167-6369</issn><issn>1573-2959</issn><eissn>1573-2959</eissn><abstract>High-altitude areas are thought to be more sensitive to climate change, but long-term series of land surface temperature (LST) observations are still inadequate in low-latitude high-altitude mountainous areas. We investigated spatiotemporal variations in the LST and its dominant driving factors at different time scales based on the long-term series (2001 − 2020) of MODIS data over the Yunnan Province (YNP) in southwest China, with a special focus on elevation-dependent warming (EDW). The results indicated that annual LST generally increased at a rate of 0.18 °C decade
−1
over the past 20 years, and the increase was stronger in summer (0.47 °C decade
−1
). Moreover, the nighttime warming rate (0.43 °C decade
−1
) was much faster than that during the daytime (− 0.08 °C decade
−1
), indicating that there was an asymmetric diurnal warming. We also confirmed the presence of EDW, which behaves more greatly above 3500 m. Spatially, the warming trend in high-cold mountains, hot-dry river valleys and the tropics was obvious, while the trend in the northeastern YNP and western side of the Ailao Mountains was opposite. On the timescales of annual, autumn and winter, more than 60% of the LST in the study area was mainly affected by temperature, and 20% ~ 30% was affected by precipitation. LST and warming trend largely differenced with respect to land cover types, with the highest values occurring in built-up lands. This research is expected to contribute to a better understanding of climate change processes in the YNP.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>39688769</pmid><doi>10.1007/s10661-024-13555-5</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0167-6369 |
ispartof | Environmental monitoring and assessment, 2024-12, Vol.197 (1), p.65 |
issn | 0167-6369 1573-2959 1573-2959 |
language | eng |
recordid | cdi_proquest_miscellaneous_3146925793 |
source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Altitude Atmospheric Protection/Air Quality Control/Air Pollution China Climate Change Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental Monitoring High altitude High-altitude environments Land cover Land surface temperature MODIS Monitoring/Environmental Analysis Mountain regions Mountainous areas Mountains River valleys Seasonal variations Seasons Surface temperature Temperature Temperature variations Tropical environments |
title | Land surface temperature variations in the Yunnan Province of Southwest China |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T10%3A10%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Land%20surface%20temperature%20variations%20in%20the%20Yunnan%20Province%20of%20Southwest%20China&rft.jtitle=Environmental%20monitoring%20and%20assessment&rft.au=Huo,%20Hong&rft.date=2024-12-17&rft.volume=197&rft.issue=1&rft.spage=65&rft.pages=65-&rft.issn=0167-6369&rft.eissn=1573-2959&rft_id=info:doi/10.1007/s10661-024-13555-5&rft_dat=%3Cproquest_pubme%3E3145924050%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3145924050&rft_id=info:pmid/39688769&rfr_iscdi=true |