A comprehensive data set of lake surface water temperature over the Tibetan Plateau derived from MODIS LST products 2001-2015

• Published in: Scientific Data
• Main Authors: Wan, Wei, Li, Huan, Xie, Hongjie, Hong, Yang, Long, Di, Zhao, Limin, Han, Zhongying, Cui, Yaokui, Liu, Baojian, Wang, Cunguang, Yang, Wenting
• Other Authors: Hong, Y (reprint author), Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China.; Hong, Y (reprint author), Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China.; Xie, HJ (reprint author), Univ Texas San Antonio, Dept Geol Sci, San Antonio, TX 78249 USA.; Hong, Y (reprint author), Univ Oklahoma, Dept Civil Engn & Environm Sci, Norman, OK 73019 USA., Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China., Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China., Univ Texas San Antonio, Dept Geol Sci, San Antonio, TX 78249 USA., Univ Oklahoma, Dept Civil Engn & Environm Sci, Norman, OK 73019 USA., Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China., Ctr Natl Spaceborne Demonstrat, Beijing 100101, Peoples R China., Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China., Hong, Y (reprint author), Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China., Xie, HJ (reprint author), Univ Texas San Antonio, Dept Geol Sci, San Antonio, TX 78249 USA., Hong, Y (reprint author), Univ Oklahoma, Dept Civil Engn & Environm Sci, Norman, OK 73019 USA.
• Format: Journal/Newspaper
• Language: English
• Published: SCIENTIFIC DATA 2017
• Subjects: CLIMATE-CHANGE; permafrost
• Online Access: https://hdl.handle.net/20.500.11897/472020; https://doi.org/10.1038/sdata.2017.95

Lake surface water temperature (LSWT) is sensitive to long-term changes in thermal structure of lakes and regional air temperature. In the context of global climate change, recent studies showed a significant warming trend of LSWT based on investigating 291 lakes (71% are large lakes, >= 50 km(2) each) globally. However, further efforts are needed to examine variation in LSWT at finer regional spatial and temporal scales. The Tibetan Plateau (TP), known as the Roof of the World' and ` Asia's water towers', exerts large influences on and is sensitive to regional and even global climates. Aiming to examine detailed changing patterns and potential driven mechanisms for temperature variations of lakes across the TP region, this paper presents the first comprehensive data set of 15-year (2001-2015) nighttime and daytime LSWT for 374 lakes (>= 10 km2 each), using MODIS (Moderate Resolution Imaging Spectroradiometer) Land Surface Temperature (LST) products as well as four lake boundary shapefiles (i.e., 2002, 2005, 2009, and 2014) derived from Landsat/CBERS/GaoFen-1 satellite images. The data set itself reveals significant information on LSWT and its changes over the TP and is an indispensable variable for numerous applications related to climate change, water budget analysis (particularly lake evaporation), water storage changes, glacier melting and permafrost degradation, etc. National Natural Science Foundation of China (NSFC) project [91437214, 41501360, 91547210]; China Postdoctoral Science Foundation [2015M570109] SCI(E) ARTICLE 4