Qilian Mountains integrated observatory network: cold and arid research network of Lanzhou university (an observation system of meteorological elements gradient of Dayekou Station, 2018)

This dataset includes data recorded by Cold and Arid Research Network of Lanzhou university obtained from an observation system of Meteorological elements gradient of Dayekou Station from January 1 to December 31, 2018. The site (100.285° E, 38.555° N) was located on a glassland in the Dayekou, which is near Zhangye city, Gansu Province. The elevation is 2694 m. The installation heights and orientations of different sensors and measured quantities were as follows: air temperature and humidity profile (8 m), air pressure (2 m), rain gauge (2 m), infrared temperature sensors (2 m, towards south, vertically downward), soil heat flux (below the vegetation, -0.05 m; towards south), soil soil temperature/moisture/electrical conductivity profile (-0.05 m) photosynthetically active radiation (2 m, towards south), four-component radiometer (2 m, towards south), sunshine duration sensor(2 m, towards south).

The observations included the following: air temperature and humidity (Ta_8m; RH_3m, RH_5 m, RH_8m) (℃ and %, respectively), wind speed (Ws_8m) (m/s), wind direction (WD_8m) (°), 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 (℃), photosynthetically active radiation (PAR) (μmol/ (s m^2)), soil heat flux (Gs_5 cm) (W/m^2), soil temperature (Ts_5cm)(℃), soil moisture (Ms_5cm)(%, volumetric water content), photosynthetically active radiation (μmol/ (s m^2)), soil water potential (Swp_5cm)(kpa), soil conductivity (Ec_5cm)(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 data were missing during Aug 29 to Oct 18 because the battery is unstable; Some meterological data were wrong because the malfunction of datalogger (1.3-1.6;1.8-1.11;1.14-1.20;1.23-1.30;2.9-2.22;2.28-3.23;3.28-5.12); The air humidity data were rejected due to program error. (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: 2018-6-10 10:30.

File naming and required software

Year+** observatory network+ site+ AWS
This data is in .xlsx format, can be opened in Microsoft Excel software.

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Cite as:

ZHAO Changming, ZHANG Renyi. Qilian Mountains integrated observatory network: cold and arid research network of Lanzhou university (an observation system of meteorological elements gradient of Dayekou Station, 2018). National Tibetan Plateau Data Center, 2019. DOI: 10.11888/Geogra.tpdc.270169. (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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Geographic coverage
East: 100.29 West: 100.29
South: 38.56 North: 38.56
  • Temporal resolution: Hourly
  • File size: 5 MB
  • Views: 1,896
  • Downloads: 57
  • Access: Open Access
  • Temporal coverage: 2018-01-12 To 2019-01-11
  • Updated time: 2021-04-19
: ZHAO Changming   ZHANG Renyi  

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