Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin(Huailai station-automatic weather station-10m tower, 2018)

Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin(Huailai station-automatic weather station-10m tower, 2018)


This dataset includes data obtained from the automatic weather station (AWS) at the observation system of Meteorological elements of Huailai station between January 1 and December 31, 2017. The site (115.7880° E, 40.3491° N) was located on a maize surface, which is near Donghuayuan Town of Huailai city in Hebei Province. The elevation is 480 m. The installation heights and orientations of different sensors and measured quantities were as follows: air temperature and humidity profile (5 m, north), wind speed and direction profile (10 m, north), air pressure (in the box), rain gauge (10 m), four-component radiometer (5 m, south), two infrared temperature sensors (5 m, south, vertically downward), soil heat flux (-0.06 m), soil temperature profile (0, -0.02, -0.04, -0.1, -0.2, -0.4, -0.8, -1.2, and -1.6 m), soil moisture profile (-0.02, -0.04, -0.1, -0.2, -0.4, -0.8, -1.2, and -1.6 m), and a TCAV averaging soil thermocouple probe (-0.02, -0.04 m).

The observations included the following: air temperature and humidity (Ta_5 m; RH_5 m) (℃ and %, respectively), wind speed (Ws_10 m) (m/s), wind direction (WD_10 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/m2), infrared temperature (IRT_1 and IRT_2) (℃), soil heat flux (Gs_1, Gs_2 and Gs_3) (W/m2), soil temperature (Ts_0 cm, Ts_2 cm, Ts_4 cm, Ts_10 cm, Ts_20 cm, Ts_40 cm, Ts_80 cm, Ts_120 cm, and Ts_160 cm) (℃), soil moisture (Ms_2 cm, Ms_4 cm, Ms_10 cm, Ms_20 cm, Ms_40 cm, Ms_80 cm, Ms_120 cm, and Ms_160 cm) (%, volumetric water content), and average soil temperature (TCAV, ℃).

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 missing data 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, for example, date and time: 2017-6-10 10:30. (6) Finally, the naming convention was AWS+ site no. Moreover, suspicious data were marked in red.

For more information, please refer to Yang et al. (2015) (for sites information), Liu et al. (2013) (for data processing) in the Citation section.


File naming and required software

Year+** observatory network+ site no + AWS.


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Cite as:

Liu, S., Xu, Z. (2021). Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin(Huailai station-automatic weather station-10m tower, 2018). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271100. CSTR: 18406.11.Meteoro.tpdc.271100. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Liu, S.M., Xu, Z.W., Zhu, Z.L., Jia, Z.Z., & Zhu, M.J. (2013). Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. Journal of Hydrology, 487, 24-38.( View Details | Download | Bibtex)

2. Guo, A.L., Liu, S.M., Zhu, Z.L., Xu, Z.W., Xiao, Q., Ju, Q., Zhang, Y., & Yang, X.F. (2020). Impact of Lake/Reservoir Expansion and Shrinkage on Energy and Water Vapor Fluxes in the Surrounding Area. Journal of Geophysical Research: Atmospheres, 125, e2020JD032833. https://doi.org/10.1029/2020JD032833.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


References literature

1.Liu, S.M., Xu, Z.W., Song, L.S., Zhao, Q.Y., Ge, Y., Xu, T.R., Ma, Y.F., Zhu, Z.L., Jia, Z.Z., & Zhang, F. (2016). Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces. Agricultural and Forest Meteorology, 230-231, 97-113. (View Details )

2.Xu, Z.W., Liu, S.M., Li, X., Shi, S.J., Wang, J.M., Zhu, Z.L., Xu, T.R., Wang, W.Z., & Ma, M.G. (2013). Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE. Journal of Geophysical Research, 118, 13140-13157. (View Details | Download )

3.Jia, Z.Z., Liu, S.M., Xu, Z.W,, Chen, Y.J., & Zhu, M.J. (2012). Validation of remotely sensed evapotranspiration over the Hai River Basin, China. Journal of Geophysical Research, 117(D13). (View Details | Download )

4.Lu, L., Liu, S.M., Xu, Z.W., Yang, K., Cai, X.H., Jia, L., & Wang, J.M. (2009). The characteristics and parameterization of aerodynamic roughness length over heterogeneous surfaces. Advances in atmospheric sciences, 26(1), 180-190. (View Details | Download )

5.Liu, S.M., Xu, Z.W., Wang, W.Z., Bai, J., Jia, Z., Zhu, M., & Wang, J.M. (2011). A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology and Earth System Sciences, 15(4), 1291-1306. (View Details | Download )


Support Program

(No:41531174)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA20100101) [XDA20100101]

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Keywords
Geographic coverage
East: 115.79 West: 115.79
South: 40.35 North: 40.35
Details
  • Temporal resolution: Hourly
  • Spatial resolution: -
  • File size: 11 MB
  • Views: 1,513
  • Downloads: 58
  • Access: Requestable
  • Temporal coverage: 2018-01-01 To 2018-12-31
  • Updated time: 2021-04-19
Contacts
: LIU Shaomin   XU Ziwei  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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