Articles | Volume 14, issue 7
Data description paper
27 Jul 2022
Data description paper |  | 27 Jul 2022

An integrated dataset of daily lake surface water temperature over the Tibetan Plateau

Linan Guo, Hongxing Zheng, Yanhong Wu, Lanxin Fan, Mengxuan Wen, Junsheng Li, Fangfang Zhang, Liping Zhu, and Bing Zhang

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Cited articles

Andréassian, V., Le Moine, N., Perrin, C., Ramos, M.-H., Oudin, L., Mathevet, T., Lerat, J., and Berthet, L.: All that glitters is not gold: the case of calibrating hydrological models, Hydrol. Process., 26, 2206–2210,, 2012. 
Austin, J. and Colman, S.: A century of temperature variability in Lake Superior, Limnol. Oceanogr., 53, 2724–2730,, 2008. 
Bates, B., Kundzewicz, Z. W., Wu, S., and Palutikof, J.: Climate Change and Water: Technical Paper VI, Environ. Policy Collect., 128, 343–355,, 2008. 
Bruce, L., Frassl, M., and Arhonditsis, G. B.: A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network, Environ. Model. Softw., 102, 274–291,, 2018. 
Crosman, E. T. and Horel, J. D.: MODIS-derived surface temperature of the Great Salt Lake, Remote Sens. Environ., 113, 73–81,, 2009. 
Short summary
Lake surface water temperature (LSWT) is a critical physical property of the aquatic ecosystem and an indicator of climate change. By combining the strengths of satellites and models, we produced an integrated dataset on daily LSWT of 160 large lakes across the Tibetan Plateau (TP) for the period 1978–2017. LSWT increased significantly at a rate of 0.01–0.47° per 10 years. The dataset can contribute to research on water and heat balance changes and their ecological effects in the TP.
Final-revised paper