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1)Data content (including elements and meanings): surface meteorological observation data product of TP in 1979-2016

2)Data source and processing method: In .tif format, can be opened and analysed in arcgis.

3)Data quality description: daily resolution

4)Data application results and prospects: Based on the long-term observation data of the 17 stations of HORN, establish a series of data series of meteorological, hydrological and ecological elements in the Pan-Earth region; Strengthen observation and sample and sample verification, and complete the inversion of meteorological elements, lake water quantity and water quality, aboveground vegetation biomass, glacier and frozen soil changes; based on Internet of Things technology, develop multi-station networked meteorological, hydrological, The ecological data management platform realizes real-time acquisition and remote control and sharing of networked data.

File naming and required software

In .tif format, can be opened and analysed in arcgis.

Data Citations Data citation guideline What's data citation?

Zhu, L. (2019). Surface meteorological observation data product of TP (1979-2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270062. CSTR: 18406.11.Meteoro.tpdc.270062. (Download the reference： RIS | Bibtex )

1. Peng, P., Zhu, L.P., 2017. Observations of land surface processes of the Tibetan Plateau based on the field stations network, Science & Technology Review, 35(6): 97-102.( 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

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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

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