{"title":"了解山区的温度变化:卫星获得的地表温度与原位近地表空气温度之间的关系","authors":"Yaping Mo, Nick Pepin, Harold Lovell","doi":"10.1016/j.rse.2024.114574","DOIUrl":null,"url":null,"abstract":"Mountain systems significantly influence both regional and global climates, and are vital for biodiversity, water resources, and economic activities. Many mountainous regions are experiencing more rapid temperature changes than environments at lower elevations. Whilst <em>in situ</em> weather stations offer critical data on near-surface air temperature (T<sub>air</sub>) patterns, the lack of high-elevation stations may lead to an underestimation of warming in mountainous regions. Land surface temperature (LST), which has a strong relationship with T<sub>air</sub> and can potentially be measured globally by satellites irrespective of extreme terrain, presents an important alternative for comprehensively assessing temperature dynamics. In this study, we review studies on the relationship between satellite-derived LST and <em>in situ</em> T<sub>air</sub>, particularly in mountainous regions, by conducting a meta-analysis of the research literature and discussing the factors driving the LST-T<sub>air</sub> relationship. Our review reveals several research biases, including the regions that are the focus of studies to date (<em>e.g.</em> hemispheric and continent biases) and the elevation ranges that have <em>in situ</em> T<sub>air</sub> data. We highlight the need for further research in mountain environments to better understand the impacts of climate change on these critical regions.","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"41 1","pages":""},"PeriodicalIF":11.1000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding temperature variations in mountainous regions: The relationship between satellite-derived land surface temperature and in situ near-surface air temperature\",\"authors\":\"Yaping Mo, Nick Pepin, Harold Lovell\",\"doi\":\"10.1016/j.rse.2024.114574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mountain systems significantly influence both regional and global climates, and are vital for biodiversity, water resources, and economic activities. Many mountainous regions are experiencing more rapid temperature changes than environments at lower elevations. Whilst <em>in situ</em> weather stations offer critical data on near-surface air temperature (T<sub>air</sub>) patterns, the lack of high-elevation stations may lead to an underestimation of warming in mountainous regions. Land surface temperature (LST), which has a strong relationship with T<sub>air</sub> and can potentially be measured globally by satellites irrespective of extreme terrain, presents an important alternative for comprehensively assessing temperature dynamics. In this study, we review studies on the relationship between satellite-derived LST and <em>in situ</em> T<sub>air</sub>, particularly in mountainous regions, by conducting a meta-analysis of the research literature and discussing the factors driving the LST-T<sub>air</sub> relationship. Our review reveals several research biases, including the regions that are the focus of studies to date (<em>e.g.</em> hemispheric and continent biases) and the elevation ranges that have <em>in situ</em> T<sub>air</sub> data. We highlight the need for further research in mountain environments to better understand the impacts of climate change on these critical regions.\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2024-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.rse.2024.114574\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.rse.2024.114574","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Understanding temperature variations in mountainous regions: The relationship between satellite-derived land surface temperature and in situ near-surface air temperature
Mountain systems significantly influence both regional and global climates, and are vital for biodiversity, water resources, and economic activities. Many mountainous regions are experiencing more rapid temperature changes than environments at lower elevations. Whilst in situ weather stations offer critical data on near-surface air temperature (Tair) patterns, the lack of high-elevation stations may lead to an underestimation of warming in mountainous regions. Land surface temperature (LST), which has a strong relationship with Tair and can potentially be measured globally by satellites irrespective of extreme terrain, presents an important alternative for comprehensively assessing temperature dynamics. In this study, we review studies on the relationship between satellite-derived LST and in situ Tair, particularly in mountainous regions, by conducting a meta-analysis of the research literature and discussing the factors driving the LST-Tair relationship. Our review reveals several research biases, including the regions that are the focus of studies to date (e.g. hemispheric and continent biases) and the elevation ranges that have in situ Tair data. We highlight the need for further research in mountain environments to better understand the impacts of climate change on these critical regions.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.