Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/adcirc/adcirc
ADCIRC Model Repository
https://github.com/adcirc/adcirc
Last synced: 3 months ago
JSON representation
ADCIRC Model Repository
- Host: GitHub
- URL: https://github.com/adcirc/adcirc
- Owner: adcirc
- License: other
- Created: 2016-05-19T19:49:41.000Z (over 8 years ago)
- Default Branch: main
- Last Pushed: 2024-04-12T21:09:30.000Z (7 months ago)
- Last Synced: 2024-04-13T03:59:54.917Z (7 months ago)
- Language: Fortran
- Homepage: https://adcirc.org
- Size: 30.7 MB
- Stars: 24
- Watchers: 16
- Forks: 11
- Open Issues: 59
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: COPYING
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
- open-sustainable-technology - ADCIRC - A system of computer programs for solving time-dependent, free-surface circulation and transport problems in two and three dimensions in applications such as storm surge and flood prediction. (Climate Change / Natural Hazard and Storm)
README
# ADCIRC
[![CircleCI](https://dl.circleci.com/status-badge/img/gh/adcirc/adcirc/tree/main.svg?style=shield&circle-token=468312e3a9341f3a519bbdfb4df0cda07c98bd91)](https://dl.circleci.com/status-badge/redirect/gh/adcirc/adcirc/tree/main)
[![License: LGPL v3](https://img.shields.io/badge/License-LGPL_v3-blue.svg)](https://www.gnu.org/licenses/lgpl-3.0)ADCIRC is a system of computer programs for solving time dependent, free surface circulation and transport problems in
two and three dimensions. These programs utilize the finite element method in space allowing the use of highly flexible,
unstructured grids. Typical ADCIRC applications have included:* Prediction of storm surge and flooding
* Modeling tides and wind driven circulation
* Larval transport studies
* Near shore marine operations
* Dredging feasibility and material disposal studiesADCIRC has been used around the world for various studies, including those conducted by the United States Army Corps of
Engineers (USACE), Federal Emergency Management Agency (FEMA), National Oceanographic and Atmospheric Administration
(NOAA), and many others.## Authors
* Joannes Westerink, University of Notre Dame
* Rick Luettich, University of North Carolina at Chapel Hill### Development Group
* Brian Blanton - RENCI
* Shintaro Bunya - University of North Carolina at Chapel Hill
* Zachary Cobell - The Water Institute of the Gulf
* Clint Dawson - University of Texas at Austin
* Casey Dietrich - North Carolina State University
* Randall Kolar - University of Oklahoma at Norman
* Chris Massey - US Army Corps of Engineers Research and Development Center, Coastal and Hydraulics Laboratory# Gallery
Louisiana ADCIRC model simulating Hurricane Katrina storm surge and waves developed by The Water Institute of the Gulf.
ADCIRC mesh in the Chesapeake Bay area used for the FEMA Coastal Storm Surge Study
# Versions
Code versions are published based approximately on semantic versioning. Using the major version number (i.e. XX in the
version XX.YY) will maintain solution consistency across minor version numbers except when there are critical bug fixes.
Changes to the major version do not guarantee solution consistency, which may be due to improvements in the algorithm or
other fixes. The general opinion is that the solution is improved in greater major version numbers and if exact
consistency is required, it's recommended that the same major version is used. Note that other factors, including
compiler versions and optimization may also impact solution consistency and the user should understand their compiler.## Documentation
Documentation is presently undergoing upgrades, however, the main documentation locations for users are:
1. [ADCIRC website](https://adcirc.org)
2. [ADCIRC Wiki](https://wiki.adcirc.org/Main_Page)## Examples
The ADCIRC [testing repository](http://github.com/adcirc/adcirc-testsuite) doubles as a set of examples which can be used
for new users to become acquainted with the model. Since version 55, the branches are annotated with the expected
version numbers that would allow the tests to run successfully.