scholarly journals Review of “Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China”

2019 ◽  
Author(s):  
Anonymous
Keyword(s):  
River Basin ◽  
Alpine Region ◽  
Heihe River Basin ◽  
Heihe River ◽  
Frozen Ground ◽  
The Heihe River Basin

scholarly journals Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China

2019 ◽  
Author(s):  
Tao Che ◽  
Xin Li ◽  
Shaomin Liu ◽  
Hongyi Li ◽  
Ziwei Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Snow Cover ◽  
River Basin ◽  
Alpine Region ◽  
Heihe River Basin ◽  
Heihe River ◽  
Hydrological Models ◽  
Frozen Ground ◽  
Observation Network ◽  
The Heihe River Basin

Abstract. The alpine region is important in riverine and watershed ecosystems as a contributor of freshwater, providing and stimulating specific habitats for biodiversity. In parallel, recent climate change, human activities and other perturbations may disturb hydrological processes and eco-functions, creating the need for next-generation observational and modeling approaches to advance a predictive understanding of such processes in the alpine region. However, several formidable challenges, including the cold and harsh climate, high altitude and complex topography, inhibit complete and consistent data collection where/when needed, which hinders the development of remote sensing technologies and alpine hydrological models. The current study 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 (HRB) in China. Gap-free meteorological and hydrological data were monitored from an observation network connecting a group of automatic meteorological stations (AMSs). In addition, to capture snow accumulation and ablation processes, snow cover properties were collected from a snow observation superstation using state-of-the-art techniques and instruments. High-resolution soil physics datasets were also obtained to capture the freeze-thaw processes from a frozen ground observation superstation. The updated datasets were released to scientists with multidisciplinary backgrounds (i.e., cryosphere science, hydrology, and meteorology), and they are expected to serve as a testing platform to provide accurate forcing data and validate and evaluate remote sensing products and hydrological models for a broader community. The datasets are available from the Cold and Arid Regions Science Data Center at Lanzhou https://doi.org/10.3972/hiwater.001.2019.db.

scholarly journals Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China

2019 ◽  
Vol 11 (3) ◽  
pp. 1483-1499 ◽  
Author(s):  
Tao Che ◽  
Xin Li ◽  
Shaomin Liu ◽  
Hongyi Li ◽  
Ziwei Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Snow Cover ◽  
River Basin ◽  
Alpine Region ◽  
Heihe River Basin ◽  
Heihe River ◽  
Hydrological Models ◽  
Frozen Ground ◽  
Observation Network ◽  
The Heihe River Basin

Abstract. The alpine region is important in riverine and watershed ecosystems as a contributor of freshwater, providing and stimulating specific habitats for biodiversity. In parallel, recent climate change, human activities and other perturbations may disturb hydrological processes and eco-functions, creating the need for next-generation observational and modeling approaches to advance a predictive understanding of such processes in the alpine region. However, several formidable challenges, including the cold and harsh climate, high altitude and complex topography, inhibit complete and consistent data collection where and when it is needed, which hinders the development of remote-sensing technologies and alpine hydrological models. The current study 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 (HRB) in China. Meteorological and hydrological data were monitored from an observation network connecting a group of automatic meteorological stations (AMSs). In addition, to capture snow accumulation and ablation processes, snow cover properties were collected from a snow observation superstation using state-of-the-art techniques and instruments. High-resolution soil physics datasets were also obtained to capture the freeze–thaw processes from a frozen-ground observation superstation. The updated datasets were released to scientists with multidisciplinary backgrounds (i.e., cryospheric science, hydrology and meteorology), and they are expected to serve as a testing platform to provide accurate forcing data and validate and evaluate remote-sensing products and hydrological models for a broader community. The datasets are available from the Cold and Arid Regions Science Data Center at Lanzhou (https://doi.org/10.3972/hiwater.001.2019.db, Li, 2019).

Numerical modeling of regional groundwater flow in the Heihe River Basin, China: Advances and new insights

2014 ◽  
Vol 58 (1) ◽  
pp. 3-15 ◽  
Author(s):  
YingYing Yao ◽  
ChunMiao Zheng ◽  
Yong Tian ◽  
Jie Liu ◽  
Yi Zheng
Keyword(s):  
Numerical Modeling ◽  
Groundwater Flow ◽  
River Basin ◽  
Heihe River Basin ◽  
Heihe River ◽  
Regional Groundwater ◽  
The Heihe River Basin

scholarly journals Mapping the Soil Texture in the Heihe River Basin Based on Fuzzy Logic and Data Fusion

2017 ◽  
Vol 9 (7) ◽  
pp. 1246 ◽  
Author(s):  
Ling Lu ◽  
Chao Liu ◽  
Xin Li ◽  
Youhua Ran
Keyword(s):  
Fuzzy Logic ◽  
Data Fusion ◽  
River Basin ◽  
Soil Texture ◽  
Heihe River Basin ◽  
Heihe River ◽  
The Heihe River Basin
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