Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2233-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2233-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Historical and future trends in wetting and drying in 291 catchments across China
Zhongwang Chen
Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua University, Beijing, 100084, China
Huimin Lei
Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua University, Beijing, 100084, China
Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua University, Beijing, 100084, China
Dawen Yang
Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua University, Beijing, 100084, China
Yongqiang Cao
School of Urban Planning and Environmental Science, Liaoning Normal University, Dalian, 116029, China
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Wencong Yang, Hanbo Yang, Changming Li, Taihua Wang, Ziwei Liu, Qingfang Hu, and Dawen Yang
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A long-term (1980–2020) global ET product is generated based on a collocation-based merging method. The produced Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE) performed well over different vegetation coverage against in-situ data. For global comparison, the spatial distribution of multi-year average and annual variation were in consistent with inputs.The CAMELE products is freely available at https://doi.org/10.5281/zenodo.6283239 (Li et al., 2021).
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This study quantified the causal effects of land cover changes and dams on the changes in annual maximum discharges (Q) in 757 catchments of China using panel regressions. We found that a 1 % point increase in urban areas causes a 3.9 % increase in Q, and a 1 unit increase in reservoir index causes a 21.4 % decrease in Q for catchments with no dam before. This study takes the first step to explain the human-caused flood changes on a national scale in China.
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Short summary
The significant climate changes remind us to characterize the hydrological response to it. Based on the long-term observed hydrological and meteorological data in 291 catchments across China, we find a pattern of the response stating that
drier regions are more likely to become drier, whereas wetter regions are more likely to become wetter. We also reveal that the precipitation changes play the most significant role in this process.
The significant climate changes remind us to characterize the hydrological response to it. Based...