A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

CWatM

Assess water supply, water demand and environmental needs at global and regional level.
https://github.com/iiasa/CWatM

Category: Natural Resources
Sub Category: Water Supply and Quality

Keywords

climate-change hydrogeology hydrological hydrological-model hydrological-modelling hydrology water-security

Last synced: about 1 hour ago
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Repository metadata

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

README.md

Community Water Model (CWatM)

latest
license
python
pytest
codecov
size
ReadTheDocs
DOI

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 IIASA’s 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 hydrological_modules. The kinematic routing and the C++ routines (for speeding up the computational time) are in the folder hydrological_modules/routing_reservoirs.

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.

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 metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 549
Total Committers: 13
Avg Commits per committer: 42.231
Development Distribution Score (DDS): 0.554

Commits in past year: 98
Committers in past year: 6
Avg Commits per committer in past year: 16.333
Development Distribution Score (DDS) in past year: 0.306

Name Email 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:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 18
Total pull requests: 41
Average time to close issues: 9 months
Average time to close pull requests: 30 days
Total issue authors: 13
Total pull request authors: 14
Average comments per issue: 1.11
Average comments per pull request: 0.34
Merged pull request: 33
Bot issues: 0
Bot pull requests: 0

Past year issues: 10
Past year pull requests: 9
Past year average time to close issues: 18 days
Past year average time to close pull requests: 8 days
Past year issue authors: 8
Past year pull request authors: 4
Past year average comments per issue: 0.7
Past year average comments per pull request: 0.11
Past year merged pull request: 7
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/iiasa/CWatM

Top Issue Authors

  • abbylute (3)
  • jensdebruijn (2)
  • Defeng-Wu (2)
  • Supsa (2)
  • CWatM (1)
  • mikhailsmilovic (1)
  • peterthomassen (1)
  • dingxinjun (1)
  • adeel20112709 (1)
  • ylbestwishes (1)
  • moritzshore (1)
  • Nafn84 (1)
  • maharikundira (1)

Top Pull Request Authors

  • mikhailsmilovic (17)
  • dof1985 (9)
  • pitmonticone (2)
  • EmilioMariaNP (2)
  • sarah-hanus (2)
  • mrranjbari (1)
  • jefe23 (1)
  • Hirsch1001 (1)
  • dharomonteagudo (1)
  • YuanchengXu2718 (1)
  • PeterBurek (1)
  • rshresth1 (1)
  • aranhax (1)
  • SilArt1 (1)

Top Issue Labels

  • good first issue (1)

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Dependencies

Toolkit/documentation/requirements.txt pypi
  • graphviz *
  • sphinx *
requirements.txt pypi
  • ModFlow6dll *
  • Python3.8 *
  • flopy3.3.2 *
  • gdal *
  • netCDF4 *
  • numpy *
  • scipy *
  • xmipy *
setup.py pypi
  • gdal *
  • netCDF4 *
  • numpy *
  • pyflow *
  • pytest *
  • pytest-html *
  • scipy *

Score: 7.007600613951853