The data set contains the eddy related observation data of sidaoqiao super station downstream of Heihe hydrometeorological observation network from January 1, 2014 to December 31, 2014. The station is located in sidaoqiao, Ejina Banner, Inner Mongolia, with Tamarix on the underlying surface. The longitude and latitude of the observation point are 101.1374e, 42.0012n, and the altitude is 873 M. The frame height of eddy correlator is 8m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer (csat3) and CO2 / H2O analyzer (li7500a) is 15cm. The original observation data of eddy correlator is 10Hz, and the released data is the 30 minute data processed by eddypro software. The main processing steps include: field value elimination, delay time correction, coordinate rotation (quadratic coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction. At the same time, the quality of each flux value is evaluated, mainly the atmospheric stability（ Δ St) and turbulence similarity characteristics (ITC). The 30min flux value output by eddypro software is also screened:
（ 1) Eliminate the data in case of instrument error
（ 2) Eliminate the data 1H before and after precipitation
（ 3) Eliminate the data with a loss rate greater than 10% every 30min in the 10Hz original data
（ 4) Eliminate the observation data of weak turbulence at night (U < EM > less than 0.1M / s)
The average period of observation data is 30 minutes, 48 data a day, and the missing data is marked as - 6999. Suspicious data caused by instrument drift and other reasons shall be identified in red font
The published observation data include: date / time, wind direction WDIR (°), horizontal wind speed wnd (M / s), standard deviation of lateral wind speed STD_ Uy (M / s), ultrasonic virtual temperature TV (℃), water vapor density H2O (g / m3), carbon dioxide concentration CO2 (mg / m3), friction velocity ustar (M / s), stability Z / L (dimensionless), sensible heat flux HS (w / m2), latent heat flux Le (w / m2), carbon dioxide flux FC (mg / (M2S)), quality identification QA of sensible heat flux_ HS, quality identification of latent heat flux QA_ Le, quality identification QA of carbon dioxide flux_ Fc。 The quality identification of sensible heat, latent heat and carbon dioxide flux is divided into three levels (quality identification 0:（ Δ st < 30, ITC< 30）; 1: （ Δ st < 100, ITC< 100）; The rest are 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30; The data is stored in. XLS format
For hydrometeorological network or station information, please refer to Li et al. (2013), and for observation data processing, please refer to Liu et al. (2011)
The station is located in sidaoqiao, Ejina Banner, Inner Mongolia, with Tamarix on the underlying surface. The longitude and latitude of the observation point are 101.1374e, 42.0012n, and the altitude is 873 M. The frame height of eddy correlator is 8m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer (csat3) and CO2 / H2O analyzer (li7500a) is 15cm
The original observation data of eddy correlator is 10Hz, and the released data is the 30 minute data processed by eddypro software. The main processing steps include: field value elimination, delay time correction, coordinate rotation (quadratic coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction. At the same time, the quality of each flux value is evaluated, mainly the atmospheric stability（ Δ St) and turbulence similarity characteristics (ITC). The 30min flux value output by eddypro software is also screened:
（ 1) Eliminate the data in case of instrument error
（ 2) Eliminate the data 1H before and after precipitation
（ 3) Eliminate the data with a loss rate greater than 10% every 30min in the 10Hz original data
（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.1M / s)
The average period of observation data is 30 minutes, 48 data a day, and the missing data is marked as - 6999. Suspicious data caused by instrument drift and other reasons shall be identified in red font
The published observation data include: date / time, wind direction WDIR (°), horizontal wind speed wnd (M / s), standard deviation of lateral wind speed STD_ Uy (M / s), ultrasonic virtual temperature TV (℃), water vapor density H2O (g / m3), carbon dioxide concentration CO2 (mg / m3), friction velocity ustar (M / s), stability Z / L (dimensionless), sensible heat flux HS (w / m2), latent heat flux Le (w / m2), carbon dioxide flux FC (mg / (M2S)), quality identification QA of sensible heat flux_ HS, quality identification of latent heat flux QA_ Le, quality identification QA of carbon dioxide flux_ Fc。 The quality identification of sensible heat, latent heat and carbon dioxide flux is divided into three levels (quality identification 0:（ Δ st < 30, ITC< 30）; 1: （ Δ st < 100, ITC< 100）; The rest are 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30
Good data quality
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.nieer.2020.1578
10.12072/ncdc.nieer.db3473.2023
