Alpine region is an important contributor in riverine and watershed ecosystems, which supplies freshwater and stimulates specific habitats of biodiversity. In parallel, extreme events (such as flood, wildfire, early snowmelt, drought and etc.) and other perturbations may reformat the hydrological processes and eco-functions in the area. It is then critical to advance a predictive understanding of the alpine hydrological processes through data-model integration. 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 associated development of interdisciplinary research in the alpine region. The current study presents a suite of datasets consisted 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 the observation network connecting a group of automatic meteorological stations (AMSs), wireless sensors network (WSN) and runoff measurement spots. In addition, to capture snow accumulation and ablation processes, with the state-of-the-art techniques and instruments, snow cover properties were collected from a snow observation superstation. High-resolution soil physics datasets were also obtained to capture the freeze-thaw processes from a frozen ground observation superstation. The up-to-date datasets have been released to scientists with multidisciplinary backgrounds (i.e. cryosphere, hydrology, and meteorology) and expected to serve as a testing platform to provide accurate forcing data, validate and evaluate remote sensing data and distributed models to a broader community.

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数据的引用

CHE Tao, LI Xin, LIU Shaomin, LI Hongyi, XU Ziwei, TAN Junlei, ZHANG Yang, REN Zhiguo, XIAO Lin, DENG Jie, MA Mingguo, WANG Jian, YANG Xiaofan. (2018). Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China. 时空三极环境大数据平台, DOI: 10.3972/hiwater.001.2019.db. CSTR: 18406.11.hiwater.001.2019.db.
[Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Ma, M., Wang, J., Yang, X. (2018). Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China. A Big Earth Data Platform for Three Poles, DOI: 10.3972/hiwater.001.2019.db. CSTR: 18406.11.hiwater.001.2019.db. ] (下载引用： RIS格式 | RIS英文格式 | Bibtex格式 | Bibtex英文格式 )

文章的引用

1. Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Jin, R., Ma, M., Wang, J., & Yang, X. (2019). Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11, 1483-1499( 查看 | 下载 | Bibtex格式)

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资助项目

Strategic Priority Research Program of the Chinese Academy of Sciences Strategic Priority Research Program of the Chinese Academy of Sciences(grant No. XDA19070101)

国家自然科学基金(91425303) National Natural Science Foundation of China (grant No. 91425303)

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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地点： Alpine region Heihe River Basin
时间： 2014 to 2017

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East: 101.16	West: 98.57
South: 37.72	North: 39.09

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大小： 159 MB
浏览： 4572 次
下载量： 456 次
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数据时间范围： 2014-01-23 至 2018-01-22
元数据更新时间： 2021-04-19

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： CHE Tao LI Xin LIU Shaomin LI Hongyi XU Ziwei TAN Junlei ZHANG Yang REN Zhiguo XIAO Lin DENG Jie MA Mingguo WANG Jian YANG Xiaofan

分发方：时空三极环境大数据平台

Email: poles@itpcas.ac.cn

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

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

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