Data description: This dataset includes the grid data of annual temperature and annual precipitation on the Tibetan Plateau from 1998 to 2017. It is the basic data for study of climate change and its impact on the ecological environment. Data source and processing: The meta data was aquired from the temperature and precipitation daily data of China's ground high-density stations (above 2,400 national meteorological stations) based on the latest compilation of the National Meteorological Information Center's basic data. After removing the missing stations, the software's thin plate spline method in ANUSPLIN was used to perform spatial interpolation, in order to generate grid data with spactial resolution of 1 km on the Tibetan Plateau . Data application: This data can be used to indentify the impact of climate change on the ecological environment.

File naming and required software

Temp for temperature; pre for precipitation. Format: tiff, this dataset can be load and analysed in ArcGIS or ENVI software；In order to facilitate storage, the data was multiplied by 10 and then converted to integer, thus, this data should be divide by 10 before using it.

Data Citations Data citation guideline What's data citation?

Cite as:

Ding, m. (2019). Temperature and precipitation grid data of the Qinghai Tibet Plateau and its surrounding areas in 1998-2017Grid data of annual temperature and annual precipitation on the Tibetan Plateau and its surrounding areas during 1998-2017. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270239. CSTR: 18406.11.Meteoro.tpdc.270239. (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.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)