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A long-term 1 km monthly near-surface air temperature dataset over theTibetan glaciers by fusion of station and satellite observations

文献类型：期刊论文

作者Qin, Jun3; Pan, Weihao1,2; He, Min2,3; Lu, Ning3; Yao, Ling3; Jiang, Hou3; Zhou, Chenghu3
刊名EARTH SYSTEM SCIENCE DATA
出版日期2023-01-19
卷号15期号:1页码:331-344
ISSN号1866-3508
DOI10.5194/essd-15-331-2023
通讯作者Qin, Jun(qinjun@igsnrr.ac.cn) ; Jiang, Hou(jiangh.18b@igsnrr.ac.cn)
英文摘要Surface air temperature (SAT) is a key indicator of global warming and plays an important role in glacier melting. On the Tibetan Plateau (TP), there exists a large number of glaciers. However, station SAT observations on these glaciers are extremely scarce, and moreover the available ones are characterized by short time series, which substantively hinder our deep understanding of glacier dynamics due to climate changes on the TP. In this study, an ensemble learning model is constructed and trained to estimate glacial SATs with a spatial resolution of 1 km x 1 km from 2002 to 2020 using monthly MODIS land surface temperature products and many auxiliary variables, such as vegetation index, satellite overpass time, and near-surface air pressure. The satellite-estimated glacial SATs are validated against SAT observations at glacier validation stations. Then, long-term (1961-2020) glacial SATs on the TP are reconstructed by temporally extending the satellite SAT estimates through a Bayesian linear regression. The long-term glacial SAT estimates are validated with root mean squared error, mean bias error, and determination coefficient being 1.61 degrees C, 0.21 degrees C, and 0.93, respectively. The comparisons are conducted with other satellite SAT estimates and ERA5-Land reanalysis data over the validation glaciers, showing that the accuracy of our satellite glacial SATs and their temporal extensions are both higher. The preliminary analysis illustrates that the glaciers on the TP as a whole have been undergoing fast warming, but the warming exhibits a great spatial heterogeneity. Our dataset can contribute to the monitoring of glaciers' warming, analysis of their evolution, etc. on the TP. The dataset is freely available from the National Tibetan Plateau Data Center at https://doi.org/10.11888/Atmos.tpdc.272550 (Qin, 2022).
WOS关键词HIGH-MOUNTAIN ASIA ; TIBETAN PLATEAU ; MODIS
资助项目Third Xinjiang Scientific Expedition Program[2021xjkk0303] ; Key Special Project for Introduced TalentsTeam of Southern Marine Science and Engineering GuangdongLaboratory[GML2019ZD0301]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000917240600001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构Third Xinjiang Scientific Expedition Program ; Key Special Project for Introduced TalentsTeam of Southern Marine Science and Engineering GuangdongLaboratory
源URL[http://ir.igsnrr.ac.cn/handle/311030/189321]  
专题中国科学院地理科学与资源研究所
通讯作者Qin, Jun; Jiang, Hou
作者单位1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surfaces P, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Jun,Pan, Weihao,He, Min,et al. A long-term 1 km monthly near-surface air temperature dataset over theTibetan glaciers by fusion of station and satellite observations[J]. EARTH SYSTEM SCIENCE DATA,2023,15(1):331-344.
APA Qin, Jun.,Pan, Weihao.,He, Min.,Lu, Ning.,Yao, Ling.,...&Zhou, Chenghu.(2023).A long-term 1 km monthly near-surface air temperature dataset over theTibetan glaciers by fusion of station and satellite observations.EARTH SYSTEM SCIENCE DATA,15(1),331-344.
MLA Qin, Jun,et al."A long-term 1 km monthly near-surface air temperature dataset over theTibetan glaciers by fusion of station and satellite observations".EARTH SYSTEM SCIENCE DATA 15.1(2023):331-344.

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来源：地理科学与资源研究所

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