Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (Gobi station eddy correlator-2012)

English name

CSTR

CSTR:11738.11.ncdc.nieer.2020.1583

DOI

10.12072/ncdc.NIEER.db0031.2020

Share mode

Apply to Access

Category

Remote Sensing

Contributors

Liu shaomin , LI Xin , Xu ziwei

Datasets description

The data set contains the eddy related flux observation data of Gobi station in the flux observation matrix from May 31 to September 15, 2012. The station is located in Zhangye City, Gansu Province, with Gobi as its underlying surface. The longitude and latitude of the observation point are 100.30420e, 38.91496n and 1562.00m above sea level. The eddy correlator frame is 4.6m high, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between the ultrasonic anemometer and CO2 / H2O analyzer is 15cm.

The 30 min flux value output by edire software is also screened: (1) eliminate the data when the instrument is wrong（ 2) Eliminate the data 1H before and after precipitation（ 3) Eliminate the data with a loss rate of more than 3% every 30min of 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; The data is stored in. XLS format.

For multi-scale observation test or site information, please refer to Liu et al. (2016), and for observation data processing, please refer to Xu et al. (2013)

Base information

collect time	2012/05/31 - 2012/09/15
collect place	Heihe River Basin, artificial oasis experimental area in the middle reaches, flux observation matrix
data size	776.5 KiB
Data time resolution	day
Coordinate system	WGS84

Data source description

Data processing method

The original observation data of eddy correlator is 10Hz. The released data is the 30 minute data post processed by edire 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 30 min flux value output by edire software is also screened: (1) eliminate the data when the instrument is wrong（2) Eliminate the data 1H before and after precipitation（3) Eliminate the data with a loss rate of more than 3% every 30min of 10Hz original data（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.1M / s)

Data quality description

Good data quality

Project information

#	number	name	type
1	91125002	Comprehensive remote sensing observation of ecology-hydrological processes in the Heihe River Basin: Hydrometeorological elements and multi-scale evapotranspiration observations	National Natural Science Foundation of China

Citations and annotations

In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of the data center and evaluate the application potential of data, data users are requested to clearly indicate the data source and data author in the research results generated by using data (including published papers, treatises, data products, unpublished research reports, data products, etc.). For reprinted (secondary or multiple releases) data, the author must also indicate the source of the original data.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (https://www.ncdc.ac.cn).

Data reference

Liu shaomin, LI Xin, Xu ziwei. Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (Gobi station eddy correlator-2012). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://cstr.cn/CSTR:11738.11.ncdc.nieer.2020.1583.
Liu shaomin, LI Xin, Xu ziwei. Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (Gobi station eddy correlator-2012). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://www.doi.org/10.12072/ncdc.NIEER.db0031.2020.

EndnoteEN BibtexEN RISEN

Papers to be cited

Xu Ziwei, Liu Shaomin, Li Xin, Shi Shengjin, Wang Jiemin, Zhu Zhongli, Xu Tongren, Wang Weizhen, Ma Mingguo. Intercomparison of surface energy flux measurement systems used during the HiWATER‐MUSOEXE[J]. Journal of Geophysical Research, 2013, 118(23).

Reference format： Endnote Bibtex RIS
Liu Shaomin, Xu Ziwei, Song Lisheng, Zhao Qianyi, Ge Yong, Xu Tongren, Ma Yanfei, Zhu Zhongli, Jia Zhenzhen, Zhang Fen. Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces[J]. Agricultural and Forest Meteorology, 2016, 230: 97-113.

Reference format： Endnote Bibtex RIS

license agreement

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International License).

Relevant data
File list

#	Dataset title
1	Eco hydrological remote sensing experiment of Heihe River: multi scale observation experiment of surface evapotranspiration over heterogeneous underlying surface flux observation matrix dataset (eddy covariance-2012)
2	Eco hydrological remote sensing experiment of Heihe River: multi scale observation experiment of surface evapotranspiration over non-uniform underlying surface flux observation matrix dataset (eddy covariance at point 6-2012)
3	Heihe River eco hydrological remote sensing experiment: multi scale observation experiment of surface evapotranspiration over non-uniform underlying surface flux observation matrix dataset (eddy covariance at point 11-2012)
4	Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (shenshawo desert station vortex correlator-2012)
5	Heihe River eco hydrological remote sensing experiment: multi scale observation experiment of surface evapotranspiration over heterogeneous underlying surface flux observation matrix dataset
6	Remote sensing experiment of ecological hydrology in Heihe River: multi scale observation experiment of surface evapotranspiration from heterogeneous underlying surface - flux observation matrix data set (aws-2012)
7	Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (Daman super station)
8	Heihe River eco hydrological remote sensing experiment: multi scale observation experiment of surface evapotranspiration over heterogeneous underlying surface flux observation matrix dataset (large aperture scintillation meter-2012)
9	Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (huazhaizi desert station-2012)
10	Remote sensing experiment of Heihe River Ecological Hydrology: multi scale observation experiment of evaporation and emission on uneven underlying surface - flux observation matrix data set (No.12 Automatic Meteorological Station)

#	title	file size
1	EC_Site-Gobi.xlsx	760.9 KiB
2	Eddy covariance system_readme.docx	15.5 KiB

add comment

Scan and browse on mobile

How to get the data

Theme:
Hydrometeorology carbon dioxide flux sensible heat flux latent heat flux eddy correlator atmospheric radiation atmospheric wind wind direction wind speed
Subject:
geography
Time:
2012
Place:
Middle reaches artificial oasis experimental area flux observation matrix Heihe River Basin

east 100.30

west 100.30

south 38.91

north 38.91

Export metadata

Contact information

data contributors:: Liu shaomin , LI Xin , Xu ziwei
metadata author:: Xu ziwei , Liu shaomin
data manager:: Heihe project data management center , Xu ziwei

Platform Service information

contacts:: Li Hongxing
phone:: 0931-4967592
mailbox:: ncdc@lzb.ac.cn