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The Black River Ecohydrological Remote Sensing Experiment: WATERNET Observation Dataset for the Upper Black River Basin Ecohydrological Wireless Sensor Network (2013)
  • 2021/08/31 19:44
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English name
The Black River Ecohydrological Remote Sensing Experiment: WATERNET Observation Dataset for the Upper Black River Basin Ecohydrological Wireless Sensor Network (2013)
CSTR
CSTR:11738.11.ncdc.nieer.2020.1573
DOI
10.12072/ncdc.nieer.db3467.2023
Share type
Online
Category
Hydrology
source site
Heihe Watershed Allied Telemetry Experimental Research
contributors
Jin rui , Li xin , Ma mingguo
Datasets description

  This dataset includes observations from 40 WATERNET sensor network points in the Upper Baba River Basin of the Black River from the end of June 2013 to the present. 4cm, 10cm and 20cm soil moisture are the basic observations for each point; 19 points contain soil moisture and surface infrared radiation temperature observations; 11 points contain soil moisture, surface infrared radiation temperature observations, snow depth and precipitation observations. The frequency of observations is 5 minutes.

  This dataset provides a ground-based dataset for basin hydrological modelling, data assimilation and remote sensing validation as detailed in the "WATERNETNET Data File 20141206.docx"

Base information
collect time 2013/12/25  -  2015/07/17
collect place Heihe River Basin, Babao River
data size 90.9 MiB
data format
Coordinate system WGS84
Data thumbnail
Data source description

  Observations from 40 WATERNET sensor network points in the Upper Babao River Basin of the Heihe River from the end of June 2013 to the present.

Data processing method

  Instrumental observation

Data quality description

 The quality of data is good

Project information
# number name type
1 91125004 other
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users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.)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.
This data is generated by "Heihe eco hydrological remote sensing experiment (hiwater)". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part.

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

Data reference
  1. Jin rui, Li xin, Ma mingguo. The Black River Ecohydrological Remote Sensing Experiment: WATERNET Observation Dataset for the Upper Black River Basin Ecohydrological Wireless Sensor Network (2013). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://cstr.cn/CSTR:11738.11.ncdc.nieer.2020.1573.
  2. Jin rui, Li xin, Ma mingguo. The Black River Ecohydrological Remote Sensing Experiment: WATERNET Observation Dataset for the Upper Black River Basin Ecohydrological Wireless Sensor Network (2013). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://www.doi.org/10.12072/ncdc.nieer.db3467.2023.
Papers to be cited
  1. Tao Che, Xin Li, Shaomin Liu, Hongyi Li, Ziwei Xu, Junlei Tan, Yang Zhang, Zhiguo Ren, Lin Xiao, Jie Deng, Rui Jin, Mingguo Ma, Jian Wang, Xiaofan Yang. Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China[J]. Earth System Science Data, 2019, 11, (3).
    Reference format： Endnote Bibtex RIS
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 黑河上游八宝河WATERNET数据（2013）.zip 90.9 MiB
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How to get the data 
east 101.24
west 100.04
south  37.70
north  38.40
Export metadata
Service information
contacts:
Min Yu Fang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
Jin rui , Li xin , Ma mingguo
author:
Jin rui
manager:
Jin rui

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