Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
30 Sep 2019
Data description paper |
| 30 Sep 2019
| 30 Sep 2019
Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Center for Excellence in Tibetan Plateau Earth Sciences, Chinese
Academy of Sciences, Beijing 100101, China
Xin Li
CORRESPONDING AUTHOR
Center for Excellence in Tibetan Plateau Earth Sciences, Chinese
Academy of Sciences, Beijing 100101, China
National Tibetan Plateau Data Center, Institute of Tibetan Plateau Research, Chinese Academy of Sciences,
Beijing 100101, China
Shaomin Liu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Hongyi Li
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Ziwei Xu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Junlei Tan
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Yang Zhang
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Zhiguo Ren
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Lin Xiao
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jie Deng
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing 21003, China
Rui Jin
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Center for Excellence in Tibetan Plateau Earth Sciences, Chinese
Academy of Sciences, Beijing 100101, China
Mingguo Ma
Chongqing Engineering Research Center for Remote Sensing Big Data
Application, School of Geographical Sciences, Southwest University,
Chongqing 400715, China
Jian Wang
Heihe Remote Sensing Experimental Research Station, Key Laboratory
of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment
and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Xiaofan Yang
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Data sets
Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China X. Li https://doi.org/10.3972/hiwater.001.2019.db
Short summary
The paper presents a suite of datasets consisting of long-term hydrometeorological, snow cover and frozen ground data for investigating watershed science and functions from an integrated, distributed and multiscale observation network in the upper reaches of the Heihe River Basin in China. These data are expected to serve as a testing platform to provide accurate forcing data and validate and evaluate remote-sensing products and hydrological models in cold regions for a broader community.
The paper presents a suite of datasets consisting of long-term hydrometeorological, snow cover...
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