.. danger::
Project description
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 how to setup the bandsos platform in practice.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bandsos-0.5-py3-none-any.whl.
File metadata
- Download URL: bandsos-0.5-py3-none-any.whl
- Upload date:
- Size: 31.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
88df6ed1d1979829cd6267cdfdcb6ca9ee993812f999ecd855c5590696c1e420
|
|
| MD5 |
f560a0fd4b0be0006ccf956a753e1f45
|
|
| BLAKE2b-256 |
70a2a5a50dd7dcc663f6e173e049bb49bb4f35282d02d050edc76890fee49725
|