MOHID-Lagrangian
High-performance Lagragian tracer model, standard compliant and ready to use out-of-the-box
https://github.com/Mohid-Water-Modelling-System/MOHID-Lagrangian
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
High-performance Lagragian tracer model, standard compliant and ready to use out-of-the-box
Basic Info
- Host: GitHub
- Owner: Mohid-Water-Modelling-System
- License: gpl-3.0
- Language: C
- Default Branch: master
- Homepage: http://www.mohid.com
- Size: 891 MB
Statistics
- Stars: 20
- Watchers: 19
- Forks: 20
- Open Issues: 3
- Releases: 4
Topics
Metadata Files
README.md
MOHID Lagrangian - v20.10
MOHID Lagragian is a comprehensive high-performance Lagrangian tracer model, with sources, sinks, particle types and several options for forcing and I/O. Altough mainly developed for oceanographic and fluvial contexts, application to atmospheric and other planetary settings should be trivial.
Available functionalities are
- Robust pre-processing, modelling and post-processing tools
- Support for netcdf-cf files with currents, winds and wave fields, as well as water quality (salinity, temperature)
- Ability to model passive, bouyant and degrading tracers
- Stokes drift, windage, beaching, resuspension and turbulent diffusion models and options
- Ability to model millions of tracers in a modest laptop machine
- Simple and fully documented simulation set-up files, ready to be abstracted by a UI
- Raw vtk time encoded output, directly compatible with Paraview and other standard post-processors and renderers
- Flexible python post processor, using cross-simulation reuseable post-processing recipes, ready to be automated
- Computation of volumetric averages and cumulative integrations, exporting the results to standard netcfd files, so you can explore the results using GIS software or publish to a thredds server
- Production of high-quality mapped plots and shapefiles using matplotlib and pandas, allowing for arbitrary calendar, integration types, subdomains including polygons and plot type combinations
- Documentation on instalation, code structure, case preparation, post processing and general useage. Fully self contained examples to get you started
- Pre-built windows executable
- Cross-platform compliant, tested and deployed
- Cmake based project, easy to set up for local compilation if required
Output examples

3D passive tracers on a MOHID operational currents solution in Vigo region, Galiza, Spain.

Floating passive tracers on a CMEMS Atlantic currents solution.

Hourly mean tracer concentration on the Arousa intertidal test case.

Mean tracer concentration on the PCOMS test case

Mean tracer concentration on the PCOMS test case using the EU Marine Directives polygons
Check out our code documentation page!
Help, Bugs, Feedback
If you need help with MOHIDLagrangian or MOHID, want to keep up with progress, chat with developers or ask any other questions about MOHID, you can hang out by mail: general@mohid.com or consult our MOHID wiki. You can also subscribe to our MOHID forum. To report bugs, please create a GitHub issue or contact any developers. More information consult http://www.mohid.com
License
GNU General Public License. See the GNU General Public License web page for more information.
Owner
- Name: MOHIDWater Modelling System
- Login: Mohid-Water-Modelling-System
- Kind: organization
- Email: general@mohid.com
- Location: Lisbon, Portugal
- Website: www.mohid.com
- Repositories: 3
- Profile: https://github.com/Mohid-Water-Modelling-System
MOHID is a three-dimensional water modelling system, developed by MARETEC at IST, Lisbon University
GitHub Events
Total
- Watch event: 2
- Delete event: 3
- Push event: 49
- Pull request event: 7
- Create event: 2
Last Year
- Watch event: 2
- Delete event: 3
- Push event: 49
- Pull request event: 7
- Create event: 2
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| RBCanelas | 3****s | 1,016 |
| DanielGaraboaPaz | a****a@u****s | 254 |
| JoaoBSobrinho | j****o@t****t | 53 |
| Ricardo Canelas | r****s@b****m | 49 |
| Ricardo Canelas | R****s@b****m | 18 |
| Francisco Campuzano | c****c@t****t | 4 |
| daniel.garaboa | d****a@u****s | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 4
- Total pull requests: 106
- Average time to close issues: 2 minutes
- Average time to close pull requests: 1 day
- Total issue authors: 2
- Total pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 0.02
- Merged pull requests: 97
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- RBCanelas (3)
Pull Request Authors
- RBCanelas (83)
- JoaoBSobrinho (21)
- DanielGaraboaPaz (2)