The average wind speed of main areas in Qinghai Province (1988-2016)- A Big Earth Data Platform for Three Poles

The data set includes the average wind speed data of main areas in Qinghai Province from 1988 to 2016 such as Xining, Haidong, Menyuan, Huangnan, Hainan, Guoluo, Yushu and Haixi. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook.

The data table records the monthly and annual average wind speed in eight regions of Qinghai.

Unit: m / s

The data set is mainly applied in geography and socioeconomic research.

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Cite as:

Qinghai Provincial Bureau of Statistics. (2018). The average wind speed of main areas in Qinghai Province (1988-2016). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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. The data is compiled by the Statistics Department of Qinghai Province,it is sorted out by the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook published by China Statistics Press, the copyright belongs to China Statistics Press. All projects are from: National Science and Technology Infrastructure "Earth System Science Data Sharing Infrastructure - Third Pole Environment Database".

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