Generation of high temporal resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000‒2017 using multiple altimetric missions and Landsat-derived lake shoreline positions and areas 5 Xingdong Li 1, Di Long 1, Qi Huang 1, Pengfei Han 1, Fanyu Zhao 1, and Yoshihide Wada 2 1 State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China 2 International Institute for Applied Systems Analysis (IIASA), Laxenburg, A-2361, Austria 10 Correspondence to: Di Long (
[email protected]) Abstract. The Tibetan Plateau (TP) known as Asia's water towers is quite sensitive to climate change, reflected by changes in hydrologic state variables such as lake water storage. Given extremely limited ground observations on the TP due to the harsh environment and complex terrain, we exploited multiple altimetric missions and Landsat archives to create high temporal resolution lake water level and storage change time series at weekly to monthly timescales for 52 large lakes (50 15 lakes larger than 150 km2 and 2 lakes larger than 100 km2) on the TP during 2000‒2017 (the data sets are available online with a DOI: https://doi.org/10.1594/PANGAEA.898411). With Landsat archives and altimetry data, we developed water levels from lake shoreline positions (i.e., optical water levels) that cover the study period and serve as an ideal reference for merging multisource lake water levels with systematic biases being removed. To validate the optical water levels, field experiments were carried out in two typical lakes, and theoretical uncertainty analysis was performed based on high 20 resolution optical images (0.8 m) as well.