Articles | Volume 28, issue 22
https://doi.org/10.5194/hess-28-4883-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-4883-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Nov 2024
Research article |
| 15 Nov 2024
| 15 Nov 2024
Processes and controls of regional floods over eastern China
Yixin Yang
School of Geography and Ocean Science, Nanjing University, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
School of Geography and Ocean Science, Nanjing University, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Jinghan Zhang
School of Geography and Ocean Science, Nanjing University, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Qiang Wang
School of Geography and Ocean Science, Nanjing University, Nanjing, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
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Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
Short summary
Short summary
As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Kunbiao Li, Fuqiang Tian, Mohd Yawar Ali Khan, Ran Xu, Zhihua He, Long Yang, Hui Lu, and Yingzhao Ma
Earth Syst. Sci. Data, 13, 5455–5467, https://doi.org/10.5194/essd-13-5455-2021, https://doi.org/10.5194/essd-13-5455-2021, 2021
Short summary
Short summary
Due to complex climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling over the Tibetan Plateau. This study aims to establish a high-accuracy daily rainfall product over the southern Tibetan Plateau through merging satellite rainfall estimates based on a high-density rainfall gauge network. Statistical and hydrological evaluation indicated that the new dataset outperforms the raw satellite estimates and several other products of similar types.
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Short summary
We introduce a machine-learning framework to study spatial characteristics and drivers of regional floods in eastern China, using 38 years of flood peak data from a vast gauging network. Our analyses provide better understanding of contrasting flood behaviors by explicitly characterizing their spatial extents. This knowledge can help improve flood risk management.
We introduce a machine-learning framework to study spatial characteristics and drivers of...
