Cold and Arid Research Network of Lanzhou university (an observation system of Meteorological elements gradient of Minqin Station, 2019)

Cold and Arid Research Network of Lanzhou university (an observation system of Meteorological elements gradient of Minqin Station, 2019)


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 Minqin Station from August 16 to December 31, 2019. The site (103.668E, 39.208N) was located on a alpine meadow in the Wuwei, Gansu Province. The elevation is 1020 m. The installation heights and orientations of different sensors and measured quantities were as follows: air temperature and humidity profile (4 and 8 m, towards north), wind speed and direction profile (windsonic; 4, and 8 m, towards north), air pressure (1.5 m), rain gauge (4 m), four-component radiometer (4 m, towards south), infrared temperature sensors (4 m, towards south, vertically downward), photosynthetically active radiation (4 m, towards south), soil heat flux (-0.05 m and -0.1m in south of tower), soil soil temperature/ moisture/ electrical conductivity profile (-0.2 and -0.4 m in south of tower), sunshine duration sensor (4 m, towards south).

The observations included the following: air temperature and humidity (Ta_4 m, and Ta_8 m; RH_4 m, and RH_8 m) (℃ and %, respectively), wind speed (Ws_4 m, and Ws_8 m) (m/s), wind direction (WD_4 m, and 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_5 cm, Gs_10cm) (W/m^2), soil temperature (Ts_10 cm, Ts_20 cm) (℃), soil moisture (Ms_10 cm, Ms_20 cm) (%, volumetric water content), soil water potential (SWP_10cm , SWP_20cm)(kpa) , soil conductivity (Ec_10cm, Ec_20cm)(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. The wind speed and direction profile data were rejected because of sensor failure; The soil water potential and moisture profile data were rejected because of sensor failure; (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, for example, date and time: 2019-6-10 10:30.


File naming and required software

Year+** observatory network+ site+ AWS


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Cite as:

Zhao, C., Zhang, R. (2020). Cold and Arid Research Network of Lanzhou university (an observation system of Meteorological elements gradient of Minqin Station, 2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270794. CSTR: 18406.11.Meteoro.tpdc.270794. (Download the reference: RIS | Bibtex )

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Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 103.67 West: 103.67
South: 39.21 North: 39.21
Details
  • Temporal resolution: Hourly
  • Spatial resolution: -
  • File size: 3 MB
  • Views: 2975
  • Downloads: 472
  • Access: Open Access
  • Temporal coverage: 2019-08-20 To 2020-01-04
  • Updated time: 2021-04-19
Contacts
: ZHAO Changming   ZHANG Renyi  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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