Processes and controls of regional floods over eastern China

Yang, Yixin; Yang, Long; Zhang, Jinghan; Wang, Qiang

doi:https://doi.org/10.5194/hess-28-4883-2024

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.

https://doi.org/10.5194/hess-28-4883-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 22

Research article

|

15 Nov 2024

Research article |

| 15 Nov 2024

Processes and controls of regional floods over eastern China

Yixin Yang, Long Yang, Jinghan Zhang, and Qiang Wang

Supplement

https://doi.org/10.5194/hess-28-4883-2024-supplement

Data sets

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

International best tack archive for climate stewardship (IBTrACS) project J. Gahtan et al. https://doi.org/10.25921/82ty-9e16

New global hydrography derived from spaceborne elevation data (https://www.hydrosheds.org/hydrosheds-core-downloads) B. Lehner et al. https://doi.org/10.1029/2008EO100001

YangEtAl_2023_Dataset_Regional flood catalog Y. Yang et al. https://doi.org/10.6084/m9.figshare.24636153.v1

Model code and software

YangEtAl_2023_Scripts_RegionalFloodAnalyses Y. Yang et al. https://doi.org/10.6084/m9.figshare.24637266.v1

Circular statistics toolbox (directional statistics) P. Berens https://www.mathworks.com/matlabcentral/fileexchange/10676-circular-statistics-toolbox-directional-statistics

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.