The fluctuation of a single lake level is a comprehensive reflection of water balance within the basin, while the regional consistent fluctuations of lake level can indicate the change of regional effective moisture. Previous researches were mainly focused on reconstructing effective moisture by multiproxy analyses of lake sediments, but lacked the quantitative studies on regional effective moisture variation. This dataset exhibits the Holocene effective moisture change in typical lake regions of the Tibetan Plateau and East and Central Asia, including Qinghai Lake, Chen Co, Bangong Co, etc., by constructing a virtual lake system, based on a lake energy balance model, a lake water balance model and a transient climate evolution model. The simulation results provide a new perspective for exploring the evolution of lakes on the millennial scale.

File naming and required software

The dataset is xls format, which can be directly opened by using Excel, WPS and other programs.

Data Citations Data citation guideline What's data citation?

Cite as:

Li, Y. (2022). Continuous simulation of Holocene effective moisture change in typical lake regions of the Tibetan Plateau and East and Central Asia. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Paleoenv.tpdc.272189. CSTR: 18406.11.Paleoenv.tpdc.272189. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, Y., Zhang, Y.X., Zhang, X.Z., Ye, W.T., Xu, L.M., Han, Q., Li, Y.C., Liu, H.B., & Peng, S.M. (2020). A continuous simulation of Holocene effective moisture change represented by variability of virtual lake level in East and Central Asia. Science China Earth Sciences, 63, 1161-1175.( View Details | Download | Bibtex)

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

Support Program

Second Tibetan Plateau Scientific Expedition Program

the Second Tibetan Plateau Scientific Expedition and Research Program (No:2019QZKK0202)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.

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