Trends and variability in snowmelt in China under climate change

Yang, Yong; Chen, Rensheng; Liu, Guohua; Liu, Zhangwen; Wang, Xiqiang

doi:https://doi.org/10.5194/hess-26-305-2022

Articles | Volume 26, issue 2

https://doi.org/10.5194/hess-26-305-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-305-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 2

Research article

|

24 Jan 2022

Research article |

| 24 Jan 2022

Trends and variability in snowmelt in China under climate change

Yong Yang, Rensheng Chen, Guohua Liu, Zhangwen Liu, and Xiqiang Wang

Supplement

https://doi.org/10.5194/hess-26-305-2022-supplement

Data sets

High-spatial-resolution monthly precipitation dataset over China during 1901-2017 (Version V 1.0) S. Peng https://doi.org/10.5281/zenodo.3114194

High-spatial-resolution monthly temperatures dataset over China during 1901-2017 (Version V 1.0 S. Peng https://doi.org/10.5281/zenodo.3185722

Long-term series of daily snow depth dataset in China (1979-2020) T. Che and L. Dai https://doi.org/10.11888/Geogra.tpdc.270194

25 km daily snow water equivalent dataset in China from 1980 to 2020 L. Jiang, J. Yang, L. Dai, X. Li, Y. Qiu, S. Wu, and Z. Li https://doi.org/10.12072/ncdc.I-SNOW.db0002.2020

Short summary

A comprehensive assessment of snowmelt is missing for China. Trends and variability in snowmelt in China under climate change are investigated using historical precipitation and temperature data (1951–2017) and projection scenarios (2006–2099). The snowmelt and snowmelt runoff ratio show significant spatial and temporal variability in China. The spatial variability in snowmelt changes may lead to regional differences in the impact of snowmelt on the water supply.