Daily precipitation on the Tibetan Plateau and its surrounding areas (1979-2015)- A Big Earth Data Platform for Three Poles

The dataset includes daily precipitation data of Qinghai, Tibet, Sichuan, Gansu, Yunnan and Xinjiang stations near the Tibetan Plateau, with time series from 1979 to 2015. The data package contains daily precipitation data of 184 weather stations, the file name is the weather station number and the file extension is data. Each document has four columns, respectively representing: Year, Month, Day, Precipitation (unit: mm). The site information is described in the file stations_meta_SR.txt. The document consists of 6 columns, respectively representing: Station No., Latitude, Longitude, Altitude (unit: m), Station name and Province. The data comes from the data sharing network of China Meteorological Administration and conventional meteorological observation data. The data is the original data and has not been processed again. The default value of the data is - 99.

File naming and required software

The dataset is packaged as TPS_daily_precision.tar.gz, you can open it with the Unix / Linux command "tar –xzf TPS_daily_precise.tar.gz".

Data Citations Data citation guideline What's data citation?

Cite as:

China Meteorological Data Network. (2019). Daily precipitation on the Tibetan Plateau and its surrounding areas (1979-2015). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Related Literatures:

1. Lan, C., & Zhang, Y.X. (2017). Spatial patterns of wet season precipitation vertical gradients on the Tibetan Plateau and the surroundings. Scientific Reports, 7(1), 5057. doi:10.1038/s41598-017-05345-6.( View Details | Bibtex)

2. Lan, C., Zhang, Y.X., Wang, Q.C., Zhang, L.L., Zhou, B.R., Hao, Z.C., Su, F.G. (2013). Climate change on the northern Tibetan Plateau during 1957-2009: spatial patterns and possible mechanisms. Journal of Climate, 26(1), 85-109. doi: http:/dx.doi.org/10.1175/JCLI-D-11-00738.1.( View Details | Bibtex)

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

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)