Model and data underlying the research of combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge
DOI:10.4121/4ff14dc0-a290-4ffd-985f-3d68b9c25644.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/4ff14dc0-a290-4ffd-985f-3d68b9c25644
DOI: 10.4121/4ff14dc0-a290-4ffd-985f-3d68b9c25644
Datacite citation style:
Xu, Hanqing (2024): Model and data underlying the research of combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4ff14dc0-a290-4ffd-985f-3d68b9c25644.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
51
views
24
downloads
Licence CC BY 4.0
The dataset provides additional information that supports the findings and conclusions of the research on combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge
History
- 2024-06-20 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.ipynbAssociated peer-reviewed publication
Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of ShanghaiOrganizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic EngineeringDATA
Files (2)
- 1,867 bytesMD5:
eb730c2cca7542e90a4487fb42ba6fd6
Readme.txt - 65,013 bytesMD5:
70dc8c48d2b7447049ce05eb5c5f11d4
GeneralGraphSFAMethod.ipynb -
download all files (zip)
66,880 bytes unzipped