| Name | bandsos JSON |
| Version |
0.5
JSON |
| download |
| home_page | |
| Summary | .. danger:: |
| upload_time | 2023-03-29 11:15:59 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
flood
forecasting
schism
gfs
hwrf
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# BandSOS Coastal Flood Forecasting Platform
Experimented on the Bengal delta in Bangladesh, BanD-SOS aims to establish a pre-operational service for forecasting
cyclonic flooding and the associated societal risk. This service will have two components: a forecast of the coastal
flooding hazard in real time that uses a state-of-the-art coupled hydrodynamic-wave modelling platform, and a coupling
of this forecast with a mapping of the vulnerability of the exposed areas. The project is a collaboration with Bangladesh
Water Development Board (BWDB) - the government engineering organization of Bangladesh which manages the water resource
infrastructure and tasked with providing the flood forecasting to the vast community of Bangladesh.
This repository contains the softwares and scripts necessary for running the BandSOS platform. Please consult the
[full documentation](https://jamalkhan.me/bandsos-platform) how to setup the bandsos platform in practice.
Raw data
{
"_id": null,
"home_page": "",
"name": "bandsos",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "flood,forecasting,schism,gfs,hwrf",
"author": "",
"author_email": "Jamal Khan <jamal919@gmail.com>",
"download_url": "",
"platform": null,
"description": "# BandSOS Coastal Flood Forecasting Platform\nExperimented on the Bengal delta in Bangladesh, BanD-SOS aims to establish a pre-operational service for forecasting \ncyclonic flooding and the associated societal risk. This service will have two components: a forecast of the coastal \nflooding hazard in real time that uses a state-of-the-art coupled hydrodynamic-wave modelling platform, and a coupling \nof this forecast with a mapping of the vulnerability of the exposed areas. The project is a collaboration with Bangladesh\nWater Development Board (BWDB) - the government engineering organization of Bangladesh which manages the water resource\ninfrastructure and tasked with providing the flood forecasting to the vast community of Bangladesh.\n\nThis repository contains the softwares and scripts necessary for running the BandSOS platform. Please consult the \n[full documentation](https://jamalkhan.me/bandsos-platform) how to setup the bandsos platform in practice.\n",
"bugtrack_url": null,
"license": "",
"summary": ".. danger::",
"version": "0.5",
"split_keywords": [
"flood",
"forecasting",
"schism",
"gfs",
"hwrf"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "70a2a5a50dd7dcc663f6e173e049bb49bb4f35282d02d050edc76890fee49725",
"md5": "f560a0fd4b0be0006ccf956a753e1f45",
"sha256": "88df6ed1d1979829cd6267cdfdcb6ca9ee993812f999ecd855c5590696c1e420"
},
"downloads": -1,
"filename": "bandsos-0.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "f560a0fd4b0be0006ccf956a753e1f45",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 31746,
"upload_time": "2023-03-29T11:15:59",
"upload_time_iso_8601": "2023-03-29T11:15:59.813216Z",
"url": "https://files.pythonhosted.org/packages/70/a2/a5a50dd7dcc663f6e173e049bb49bb4f35282d02d050edc76890fee49725/bandsos-0.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-03-29 11:15:59",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "bandsos"
}
