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1.The data content: air temperature, relative humidity, precipitation, air pressure, wind speed, the average daily data of total radiation, the total net radiation and vapor pressure.

2. Data sources and processing methods: campel mountain type automatic meteorological station observation by the United States, including air temperature and humidity sensor model HMP155A;Wind speed and direction finder models: 05103-45;Net radiation instrument: CNR four radiometer component;The atmospheric pressure sensor: CS106;The measuring cylinder: TE525MM.Automatic meteorological station every ten minutes automatic acquisition data, after complete automatic acquisition daily meteorological data then daily mean value were calculated statistics.

3.Data quality description: automatic continuous access to data.

4.Data application results and prospects: the weather set in upper glaciers, meteorological data provide data support for snow - runoff model simulation, and provides data for the glacier dynamics model and simulation.

File naming and required software

Yulong snow mountain glacier No.1, 4 800 m altitude ,2014-2018, the daily average meteorological observation data set

Data Citations Data citation guideline What's data citation?

Liu, J. (2018). Yulong snow mountain glacier No.1, 4800 m altitude the daily average meteorological observation dataset (2014-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270275. CSTR: 18406.11.Meteoro.tpdc.270275. (Download the reference： RIS | Bibtex )

1. Wang, S.J., Du, J.K., &He, Y.Q. (2014). Spatial-temporal characteristics of a temperate-glacier's active-layer temperature and its responses to climate change: a case study of Baishui Glacier No.1 (BSG1), southeastern Tibetan plateau. Journal of Earth Science, 25(4), 727-734.( 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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