This dataset is derived from the Nagqu Station of Plateau Climate and Environment (31.37N, 91.90E, 4509 a.s.l), Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences. The ground is flat, with open surrounding terrain. An uneven growth of alpine steppe, with a height of 3–20 cm. The observation time of this dataset is from January 1, 2014 to December 31, 2017. The observation elements primarily included the wind speed, air temperature, air relative humidity, air pressure, downward shortwave radiation, precipitation, evaporation, latent heat flux and CO2 flux. The precipitation , evaporation and CO2 flux data are daily cumulative values, and the other variables are daily average values. The observed data are generally continuous, but some data are missing due to power supply failure, and the missing data in this dataset are marked as NAN.

File naming and required software

2018 Metadata of Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program _ Dataset of Meteorological Elements of Nagqu Station of Plateau Climate and Environment 2014- 2017 _ XDA2002010202. Metadata is saved in .excel format, can be opened and analyzed in Microsoft EXCEL software.

Data Citations Data citation guideline What's data citation?

Cite as:

Hu, Z., Gu, L., Sun, F., Wang, S. (2019). Dataset of meteorological elements of Nagqu Station of Plateau Climate and Environment (2014-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270010. CSTR: 18406.11.Meteoro.tpdc.270010. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Ma, Y.M., Yao, T.D., Hu, Z.Y., & Wang, J.M. (2009). The cooperative study on energy and water cycle over the tibetan plateau. Advances in Earth Science. 24(11), 1280-1284.( 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)