Cold and Arid Research Network of Lanzhou university (an observation system of Meteorological elements gradient of Suganhu Station, 2020)- A Big Earth Data Platform for Three Poles

This dataset includes data recorded by the Cold and Arid Research Network of Lanzhou university obtained from an observation system of Meteorological elements gradient of Suganhu Station from November 27 to December 31, 2020. The site (93.708° E, 40.348° N) was located on a wetland in the Suganhu west lake, Gansu Province. The elevation is 990 m. The installation heights and orientations of different sensors and measured quantities were as follows: air temperature and humidity profile (4m and 8 m, towards north), wind speed and direction profile (windsonic; 4m and 8 m, towards north), air pressure (1 m), rain gauge (4 m), infrared temperature sensors (4 m, towards south, vertically downward), soil heat flux (-0.05 and -0.1m ), soil soil temperature/ moisture/ electrical conductivity profile (below the vegetation in the south of tower, -0.05 and -0.2 m), photosynthetically active radiation (4 m, towards south), four-component radiometer (4 m, towards south), sunshine duration sensor(4 m, towards south).

The observations included the following: air temperature and humidity (Ta_4 m, Ta_8 m; RH_4 m, RH_8 m) (℃ and %, respectively), wind speed (Ws_4 m, Ws_8 m) (m/s), wind direction (WD_4 m, WD_8 m) (°), air pressure (press) (hpa), precipitation (rain) (mm), four-component radiation (DR, incoming shortwave radiation; UR, outgoing shortwave radiation; DLR_Cor, incoming longwave radiation; ULR_Cor, outgoing longwave radiation; Rn, net radiation) (W/m^2), infrared temperature (IRT) (℃), photosynthetically active radiation (PAR) (μmol/ (s m-2)), soil heat flux (Gs_0.05m, Gs_0.1m) (W/m^2), soil temperature (Ts_0.1m, Ts_0.2m, Ts_0.4m) (℃), soil moisture (Ms_0.1m, Ms_0.2m, Ms_0.4m) (%, volumetric water content), soil conductivity (Ec_0.1m, Ec_0.2m, Ec_0.4m)(μs/cm), sun time(h).

The data processing and quality control steps were as follows: (1) The AWS data were averaged over intervals of 10 min for a total of 144 records per day and missing records were denoted by -6999. (2) Data in duplicate records were rejected. (3) Unphysical data were rejected. (4) The data marked in red are problematic data. (5) The format of the date and time was unified, and the date and time were collected in the same column.

File naming and required software

Year+** observatory network+ site+ AWS

Data Citations Data citation guideline What's data citation?

Cite as:

Zhao, C., Zhang, R. (2021). Cold and Arid Research Network of Lanzhou university (an observation system of Meteorological elements gradient of Suganhu Station, 2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271379. CSTR: 18406.11.Meteoro.tpdc.271379. (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)