CWatM
Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASA’s Water Security group
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 13 committers (15.4%) from academic institutions -
✓Institutional organization owner
Organization iiasa has institutional domain (www.iiasa.ac.at) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.6%) to scientific vocabulary
Keywords
Repository
Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASA’s Water Security group
Basic Info
- Host: GitHub
- Owner: iiasa
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://cwatm.iiasa.ac.at
- Size: 233 MB
Statistics
- Stars: 81
- Watchers: 14
- Forks: 59
- Open Issues: 9
- Releases: 3
Topics
Metadata Files
README.md
Community Water Model (CWatM)
User manual and model documentation at https://cwatm.iiasa.ac.at.
Questions? Start a discussion on our GitHub forum and check out our CWatM tutorials on YouTube.
Our repository CWatM-Earth-30min contains input data for CWatM at 30 arcminutes and further links to climate and higher resolution input data.
Overview and scope
Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASAs Water Security group. CWatM assesses water supply, demand, and environmental needs, including water management and human influence within the water cycle. CWatM includes an accounting of how future water demands will evolve in response to socioeconomic change and how water availability will change in response to climate and management.
CWatM is open source, and its modular structure facilitates integration with other models. CWatM will be a basis to develop next-generation global hydro-economic modelling coupled with existing IIASA models like MESSAGE and GLOBIOM.
Model design and processes included
Modules for hydrological processes, e.g. snow, soil, groundwater, lakes & reservoirs, evaporation, etc., are in the folder hydrologicalmodules. The kinematic routing and the C++ routines (for speeding up the computational time) are in the folder hydrologicalmodules/routing_reservoirs.
Figure 1: Schematic view of CWatM processes
Next-generation global hydro-economic modelling framework
CWatM will help to develop a next-generation hydro-economic modelling tool that represents the economic trade-offs among water supply technologies and demands. The tool will track water use from all sectors and identify the least-cost solutions for meeting future water demands under policy constraints. In addition, the tool will track the energy requirements associated with the water supply system (e.g., desalination and water conveyance) to facilitate linking with the energy-economic tool. The tool will also incorporate environmental flow requirements to ensure sufficient water for environmental needs.
The Nexus framework of IIASA
In the nexus framework of water, energy, food, and ecosystem, CWatM will be coupled to the existing IIASA models, including the Integrated Assessment Model MESSAGE and the global land and ecosystem model GLOBIOM to realize improved assessments of water-energy-food-ecosystem nexus and associated feedback.
Figure 2: IIASA model nexus
Short to medium-term vision
Our vision for short to medium-term work is to refine the human influence within the water cycle, integrate biodiversity, introduce water quality (e.g., salinization in deltas and eutrophication associated with megacities), and consider qualitative and quantitative measures of transboundary river and groundwater governance into an integrated modelling framework.
Owner
- Name: IIASA
- Login: iiasa
- Kind: organization
- Email: github-owners@iiasa.ac.at
- Location: Laxenburg, Austria
- Website: https://www.iiasa.ac.at
- Twitter: IIASAVienna
- Repositories: 128
- Profile: https://github.com/iiasa
International Institute for Applied Systems Analysis
GitHub Events
Total
- Issues event: 6
- Watch event: 10
- Issue comment event: 2
- Push event: 37
- Pull request event: 3
- Fork event: 7
Last Year
- Issues event: 6
- Watch event: 10
- Issue comment event: 2
- Push event: 37
- Pull request event: 3
- Fork event: 7
Committers
Last synced: 6 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| CWatM | p****k@g****e | 245 |
| Mikhail Smilovic | m****c@g****m | 200 |
| Jens de Bruijn | j****n@o****m | 42 |
| Sarah Hanus | 5****s | 17 |
| Dor Fridman | d****5@g****m | 14 |
| Luca Guillaumot | 6****t | 10 |
| Unknown | y****1@g****m | 6 |
| politti | p****i@n****i | 5 |
| EmilioMariaNP | p****i@i****t | 3 |
| Yuancheng Xu | 1****8 | 3 |
| David Haro Monteagudo | d****o@g****m | 2 |
| Silvia | a****o@i****t | 1 |
| jefe23 | 1****3 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 16
- Total pull requests: 53
- Average time to close issues: 11 months
- Average time to close pull requests: 26 days
- Total issue authors: 14
- Total pull request authors: 15
- Average comments per issue: 0.94
- Average comments per pull request: 0.3
- Merged pull requests: 40
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 8
- Pull requests: 4
- Average time to close issues: about 1 month
- Average time to close pull requests: 4 minutes
- Issue authors: 8
- Pull request authors: 2
- Average comments per issue: 0.5
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- abbylute (2)
- Defeng-Wu (2)
- CWatM (1)
- jensdebruijn (1)
- mikhailsmilovic (1)
- peterthomassen (1)
- dingxinjun (1)
- adeel20112709 (1)
- ylbestwishes (1)
- mahdimohammadnezhad (1)
- moritzshore (1)
- Nafn84 (1)
- Supsa (1)
- maharikundira (1)
Pull Request Authors
- mikhailsmilovic (21)
- dof1985 (10)
- aranhax (3)
- mrranjbari (2)
- pitmonticone (2)
- jefe23 (2)
- rshresth1 (2)
- EmilioMariaNP (2)
- YuanchengXu2718 (2)
- sarah-hanus (2)
- github-actions[bot] (1)
- Hirsch1001 (1)
- dharomonteagudo (1)
- PeterBurek (1)
- SilArt1 (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- graphviz *
- sphinx *
- ModFlow6dll *
- Python3.8 *
- flopy3.3.2 *
- gdal *
- netCDF4 *
- numpy *
- scipy *
- xmipy *
- gdal *
- netCDF4 *
- numpy *
- pyflow *
- pytest *
- pytest-html *
- scipy *