Meteorological data of surface environment and observation network in high and cold regions of China (2020)

Meteorological data of surface environment and observation network in high and cold regions of China (2020)


1) Data content (including elements and significance): 19 stations of Alpine network (Southeast Tibet station, Namuco station, Everest station, mustage station, Ali station, Golmud station, Tianshan station, Qilian mountain station, Ruoergai station (2 points in total, Northwest Institute and Chengdu Institute of Biology), Yulong Snow Mountain station and Naqu station (including stations, Qinghai Tibet Institute, Northwest Institute and Geography Institute), Haibei Station, Sanjiangyuan station, Shenza station,, Lhasa station and Qinghai Lake Station) meteorological observation data set of Qinghai Tibet Plateau in 2020 (temperature, precipitation, wind direction and speed, relative humidity, air pressure, radiation and flux)

2) Data source and processing method: Excel format for field observation of 19 stations of Alpine network

3) Data quality description: Daily resolution of the station

4) Data application achievements and prospects: Based on the long-term observation data of field stations of the alpine network and overseas stations in the pan third pole region, a series of data sets of meteorological, hydrological and ecological elements in the pan third pole region are established; Complete the inversion of meteorological elements, lake water quantity and quality, aboveground vegetation biomass, glacier and frozen soil change and other data products through intensive observation in key areas and verification of sample plots and sample points; Based on the Internet of things technology, a multi station networked meteorological, hydrological and ecological data management platform is developed to realize real-time acquisition, remote control and sharing of networked data. In addition, the data set is an update of the meteorological data of the surface environment and observation network in China's high and cold regions (2019).


File naming and required software

In tabular form, it can be opened, viewed and analyzed in Excel


Data Citations Data citation guideline What's data citation?
Cite as:

Zhu, L. (2021). Meteorological data of surface environment and observation network in high and cold regions of China (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.271875. CSTR: 18406.11.Atmos.tpdc.271875. (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)


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Keywords
Geographic coverage
East: 74.00 West: 101.00
South: 26.00 North: 44.00
Details
  • Temporal resolution: Daily
  • Spatial resolution: --
  • File size: 1 MB
  • Views: 2097
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2020-01-01 To 2020-12-31
  • Updated time: 2022-01-22

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: ZHU Liping  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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