BG_Flood
The model is designed to simulate flood/inundation caused by tsunami, river, rain, tide or storm surge (from wind stress or atm pressure differential) or any combination of these.
https://github.com/CyprienBosserelle/BG_Flood
Category: Climate Change
Sub Category: Natural Hazard and Storms
Keywords
adaptive flood gpu inundation rain river storm surge tsunami
Keywords from Contributors
geocode virtualization
Last synced: about 7 hours ago
JSON representation
Repository metadata
Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)
- Host: GitHub
- URL: https://github.com/CyprienBosserelle/BG_Flood
- Owner: CyprienBosserelle
- License: gpl-3.0
- Created: 2017-10-20T01:37:46.000Z (over 8 years ago)
- Default Branch: main
- Last Pushed: 2026-04-19T23:03:11.000Z (8 days ago)
- Last Synced: 2026-04-23T07:05:05.471Z (4 days ago)
- Topics: adaptive, flood, gpu, inundation, rain, river, storm, surge, tsunami
- Language: Cuda
- Homepage:
- Size: 201 MB
- Stars: 47
- Watchers: 7
- Forks: 16
- Open Issues: 22
- Releases: 13
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
BG Flood
Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinement type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational.
The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)
The adaptive version of the model is currently under heavy development. Makefile in the master branch is not operational and general process may be broken in other branches as well.
Reference
Bosserelle C., Lane E., Harang A., (2021) BG-Flood: A GPU adaptive, open-source, general inundation hazard model. Proceedings of the Australasian Coasts & Ports 2021 Conference. PDF
Testing
CI test (development branch):
Owner metadata
- Name: Cyprien Bosserelle
- Login: CyprienBosserelle
- Email:
- Kind: user
- Description: Coastal Oceanographer
- Website:
- Location:
- Twitter:
- Company: @niwa
- Icon url: https://avatars.githubusercontent.com/u/3713631?u=f9069dec187e68752e6fcdbde9b1ff04e47de195&v=4
- Repositories: 15
- Last ynced at: 2023-05-01T07:20:53.738Z
- Profile URL: https://github.com/CyprienBosserelle
GitHub Events
Total
- Delete event: 3
- Pull request event: 15
- Fork event: 1
- Issues event: 4
- Watch event: 7
- Issue comment event: 13
- Push event: 216
- Create event: 7
Last Year
- Delete event: 3
- Pull request event: 15
- Issues event: 4
- Watch event: 2
- Issue comment event: 9
- Push event: 172
- Create event: 5
Committers metadata
Last synced: 4 days ago
Total Commits: 1,445
Total Committers: 7
Avg Commits per committer: 206.429
Development Distribution Score (DDS): 0.325
Commits in past year: 147
Committers in past year: 3
Avg Commits per committer in past year: 49.0
Development Distribution Score (DDS) in past year: 0.51
| Name | Commits | |
|---|---|---|
| Cyprien Bosserelle | c****e@g****m | 975 |
| Alice Harang | a****g@n****z | 315 |
| github-actions[bot] | g****] | 131 |
| Wolfgang Hayek | w****k@n****z | 17 |
| Chris Scott | c****s@c****k | 3 |
| bosserellec | b****c@n****l | 3 |
| bosserellec | b****c@n****l | 1 |
Committer domains:
- niwa.co.nz: 2
- chrisdjscott.co.uk: 1
Issue and Pull Request metadata
Last synced: 6 days ago
Total issues: 48
Total pull requests: 83
Average time to close issues: over 1 year
Average time to close pull requests: 3 months
Total issue authors: 7
Total pull request authors: 2
Average comments per issue: 1.0
Average comments per pull request: 1.1
Merged pull request: 51
Bot issues: 0
Bot pull requests: 0
Past year issues: 4
Past year pull requests: 16
Past year average time to close issues: N/A
Past year average time to close pull requests: 20 days
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.44
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- CyprienBosserelle (35)
- AliceHarang (7)
- rosepearson (2)
- JudGiblin (1)
- RegMeasures (1)
- GuglielmoStecca (1)
- lj-cug (1)
Top Pull Request Authors
- CyprienBosserelle (64)
- AliceHarang (19)
Top Issue Labels
- bug (11)
- enhancement (10)
- Code cleanup (3)
- Polls (1)
- wontfix (1)
- Easytofix (1)
Top Pull Request Labels
Score: 6.180016653652573