Tethys

Tethys: A Spatiotemporal Downscaling Model for Global Water Demand - Published in JOSS (2024)

https://github.com/jgcri/tethys

Science Score: 98.0%

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 1 DOI reference(s) in JOSS metadata
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    5 of 9 committers (55.6%) from academic institutions
  • Institutional organization owner
    Organization jgcri has institutional domain (www.pnnl.gov)
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

gcam gcims

Keywords from Contributors

mesh

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

Spatiotemporal downscaling model for global water use

Basic Info
Statistics
  • Stars: 28
  • Watchers: 7
  • Forks: 12
  • Open Issues: 6
  • Releases: 7
Topics
gcam gcims
Created over 8 years ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License

README.md

build codecov DOI

Tethys

Demand for water is often modeled as part of integrated human-Earth systems models, such as GCAM, which operate at coarse spatiotemporal scales in order to model long-term global economic linkages. tethys was designed to downscale projections from such models, producing high-resolution water demand data consistent with global dynamics. This allows coupling with gridded hydrology models, which represent physical processes on much finer scales.

Documentation

Check out Getting Started for installation and basic usage. Details on methodology and advanced usage are available on the User Guide.

Installation

Install tethys using pip:

pip install tethys-downscale

Contributing to Tethys

Whether you find a typo in the documentation, find a bug, or want to develop functionality that you think will make Tethys more robust, you are welcome to contribute! See the full contribution guidelines in our online documentation.

Owner

  • Name: Joint Global Change Research Institute
  • Login: JGCRI
  • Kind: organization
  • Location: College Park, MD, USA

Advancing fundamental understanding of human and Earth systems

JOSS Publication

Tethys: A Spatiotemporal Downscaling Model for Global Water Demand
Published
May 29, 2024
Volume 9, Issue 97, Page 5855
Authors
Isaac Thompson ORCID
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD., USA
Chris R. Vernon ORCID
Pacific Northwest National Laboratory, Richland, WA., USA
Zarrar Khan ORCID
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD., USA
Editor
Kristen Thyng ORCID
Tags
water demand downscaling

GitHub Events

Total
  • Issues event: 1
  • Issue comment event: 7
  • Push event: 5
Last Year
  • Issues event: 1
  • Issue comment event: 7
  • Push event: 5

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 433
  • Total Committers: 9
  • Avg Commits per committer: 48.111
  • Development Distribution Score (DDS): 0.617
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Isaac Thompson 9****n 166
crvernon c****n@g****m 114
Zarrar Khan z****n@p****v 110
Li X****i@p****v 15
Robert Link r****k@p****v 10
Caleb Braun c****n@p****v 7
Zarrar Khan k****n@g****m 5
dependabot[bot] 4****] 4
EvanMargiotta e****a@p****v 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 27
  • Total pull requests: 48
  • Average time to close issues: over 1 year
  • Average time to close pull requests: about 2 months
  • Total issue authors: 11
  • Total pull request authors: 8
  • Average comments per issue: 0.89
  • Average comments per pull request: 0.23
  • Merged pull requests: 42
  • Bot issues: 0
  • Bot pull requests: 6
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 3.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • crvernon (7)
  • rplzzz (6)
  • zarrarkhan (3)
  • nickrsan (2)
  • oayounis (2)
  • TaranuDev (2)
  • elise1993 (1)
  • wangshaobobetter (1)
  • hassaniazi (1)
  • khairul047 (1)
  • bzanniupie (1)
Pull Request Authors
  • zarrarkhan (21)
  • crvernon (18)
  • dependabot[bot] (6)
  • calebbraun (3)
  • thurber (2)
  • rplzzz (2)
  • ifthompson (1)
  • Xinya-Li (1)
Top Labels
Issue Labels
enhancement (5) bug (3) question (2) help wanted (1) dependencies (1)
Pull Request Labels
dependencies (6) documentation (4) enhancement (3) bug (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 7 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: tethys-downscaling

Spatial and Temporal Downscaling of Global Water Demands

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 7 Last month
Rankings
Dependent packages count: 9.6%
Average: 36.3%
Dependent repos count: 63.1%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • configobj *
  • gcamreader >=1.2.5
  • numpy *
  • pandas *
  • requests *
  • scipy *
setup.py pypi
  • configobj *
  • gcamreader >=1.2.5
  • numpy *
  • pandas *
  • requests *
  • scipy *
.github/workflows/build.yml actions
  • actions/checkout v1 composite
  • actions/setup-python master composite
  • codecov/codecov-action v1 composite
.github/workflows/paper.yml actions
  • actions/checkout v2 composite
  • actions/upload-artifact v1 composite
  • openjournals/openjournals-draft-action master composite