Southeast Tibet station of Chinese Academy of Sciences: basic meteorological data of forest line on the east slope of Sejila Mountain (2019-2020)

Southeast Tibet station of Chinese Academy of Sciences: basic meteorological data of forest line on the east slope of Sejila Mountain (2019-2020)


1) Data content (including elements and significance): the data includes the daily values of air temperature (℃), precipitation (mm), relative humidity (%), wind speed (M / s) and radiation (w / m2)

2) Data source and processing method; Air temperature, relative humidity, radiation and wind speed are daily mean values, and precipitation is daily cumulative value; Data collection location: 29 ° 39 ′ 25.2 ″ n near the forest line on the east slope of Sejila Mountain; 94°42′25.62″E; 4390m; The underlying surface is natural grassland; Collector model Campbell Co CR1000, acquisition time: 10 minutes. Digital automatic data acquisition. The temperature and relative humidity instrument probe is hmp155a; The wind speed sensor is 05103; The precipitation is te525mm; The radiation is li200x;

3) Data quality description; The original data of air temperature, relative humidity and wind speed are the average value of 10 minutes, and the precipitation is the cumulative value of 10 minutes; The daily average temperature, relative humidity, precipitation and wind speed are obtained by arithmetic average or summation. Due to the limitation of the sensor, the precipitation in winter may have a certain error.

4) Data application achievements and prospects: this data is the update of the existing data "Sejila Mountain meteorological data (2007-2017)" and "basic meteorological data of Sejila east slope forest line of South Tibet station of Chinese Academy of Sciences (2018)". The data time scale span is large, which is convenient for scientists or graduate students in Atmospheric Physics, ecology and atmospheric environment. This data will be updated from time to time every year.


File naming and required software

The file is named as the basic meteorological data (2019-2020) of the forest line on the east slope of Sejila Mountain at the Southeast Tibet station of Chinese Academy of Sciences, which can be opened by Excel or WPS


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

Luo, L. (2021). Southeast Tibet station of Chinese Academy of Sciences: basic meteorological data of forest line on the east slope of Sejila Mountain (2019-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271787. CSTR: 18406.11.Meteoro.tpdc.271787. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Luo, L., Dan, Z., & Zhu, L.P., et al. (2021). Vertical Gradient Changes of Temperature and Precipitation in the Sygera Mountains, Southeastern Qinghai-Xizang Plateau. Plateau Meteorology, 1-10. DOI: 10. 7522/j. issn. 1000-0534. 2019. 00123.( View Details | Download | 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: 94.70 West: 94.70
South: 29.67 North: 29.67
Details
  • Temporal resolution: Daily
  • Spatial resolution: --
  • File size: 0.054 MB
  • Views: 1869
  • Downloads: 32
  • Access: Requestable
  • Temporal coverage: 2019-01-01 To 2020-12-31
  • Updated time: 2021-11-05
Contacts
: Luo Lun  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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