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The Tibetan Plateau, featuring the most extensive lake distribution in China, has seen rapid expansion of most its lakes. These lakes are important nodes for regional water and energy cycles, and highly sensitive to climate change. It is therefore imperative to unravel lake water storage changes under climate variation and change to improve the understanding of mechanisms of the interactions between regional hydrology and climate and their changes. This developed data set provides water level, hypsometric curves, and lake storage changes for 52 large lakes across the TP from 2000 to 2017, comprising traditional altimetry water levels and a unique source of information termed as the optical water levels derived from tremendous amounts of Landsat archives using Google Earth Engine. Field experiments agree with the theoritical analysis that the uncertainty of optical water level is 0.1 - 0.2 m, comparable with that of altimetry water level. The uncertainty of altimetry water level is represented by the standard deviation of water levels obtained from effective footprints of the same cycle, which is included in the dataset. This dataset is applicable in water resource and security management, lake basin hydrological analysis, water balance analysis and the like. For instance, it has great potential in monitoring lake overflow flood.

Data file naming and use method

This data set contains 52 time series of lake water level and lake storage change (52 text files), and one text file that stores hypsometric curves of all lakes. The format of the time series file name is "XXXX_Lake_water_ level_storage_changes", where XXXX represents the English name of the lake. It can be opened in Notepad. Besides the header file information, each time series file contains five columns of data, including data acquisition date, water level, water level uncertainty, lake storage change and data source. The header file contains the latitude and longitude of the lake and a detailed description of each column of data.

Required Data Citation View Data Cite Help About Data Citation

LI Xingdong, LONG Di, HUANG Qi, HAN Pengfei, ZHAO Fanyu, WADA Yoshihide. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000-2017. National Tibetan Plateau Data Center, 2019. doi: doi.org/10.1594/PANGAEA.898411. (Download the reference： RIS | Bibtex )

1. Li, X., Long, D., Huang, Q., Han, P., Zhao, F., and Wada, Y. (2019). 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. Earth Syst. Sci. Data, 11, 1603–1627, https://doi.org/10.5194/essd-11-1603-2019.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Natural Science Foundation of China (Grant No. 91547210 and 51722903)

National Key Research and Development Program of China (grant no. 2017YFC0405801)

User Limit

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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