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

https://github.com/iiasa/CWatM

Science Score: 67.0%

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
    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
  • Scientific vocabulary similarity
    Low similarity (15.6%) to scientific vocabulary

Keywords

climate-change hydrogeology hydrological hydrological-model hydrological-modelling hydrology water-security
Last synced: 6 months ago · JSON representation

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
climate-change hydrogeology hydrological hydrological-model hydrological-modelling hydrology water-security
Created about 5 years ago · Last pushed 6 months ago
Metadata Files
Readme License

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 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

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

All Time
  • Total Commits: 549
  • Total Committers: 13
  • Avg Commits per committer: 42.231
  • Development Distribution Score (DDS): 0.554
Past Year
  • Commits: 98
  • Committers: 6
  • Avg Commits per committer: 16.333
  • Development Distribution Score (DDS): 0.306
Top Committers
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 (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
good first issue (1)
Pull Request Labels

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 *