CMAQ
Code for U.S. EPA’s Community Multiscale Air Quality Model (CMAQ) for estimating ozone, particulates, toxices, and deposition of acids and nutrients at neighborhood to global scales.
Science Score: 36.0%
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
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
8 of 76 committers (10.5%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.1%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Code for U.S. EPA’s Community Multiscale Air Quality Model (CMAQ) for estimating ozone, particulates, toxices, and deposition of acids and nutrients at neighborhood to global scales.
Basic Info
- Host: GitHub
- Owner: USEPA
- License: mit
- Language: Fortran
- Default Branch: main
- Homepage: https://epa.gov/CMAQ
- Size: 105 MB
Statistics
- Stars: 324
- Watchers: 47
- Forks: 221
- Open Issues: 4
- Releases: 22
Topics
Metadata Files
DOCS/README.md
CMAQ Documentation
This directory contains documentation for the Community Multiscale Air Quality (CMAQ) modeling system. While documentation is packaged with the code when it is downloaded or cloned, users are encouraged to go online to view the latest version.
The following documents are available for each CMAQ release:
Getting Started: A brief introduction for new and returning users.
Release Notes: Technical notes on the new features and science in this release of CMAQ.
CMAQ Bugfix Branch: Updates to the continually evolving "+" branch offering the most recent bugfixes or minor updates that improve model stability, efficiency, etc.
CMAQ User's Guide: Instructions on how to set up and run the model and information on CMAQ's different science options and instrumented versions.
Tutorials: A series of short tutorials provide practical examples of how to set up and run CMAQ, exercise different features in the software, and better understand the software system.
CMAQ Data: Links to CMAQ test case data for the latest release, CMAQ-ready input files for multiple domains/years, and CMAQ estimates of air pollutants and deposition.
Chemical Mechanism Tables: Tables of model species and chemical reactions in each chemical mechanism available in the most recently released version of CMAQ.
Developers' Guide: A guide to version control practices and expectations adopted by the CMAQ development team and enforced on itself and any other collaborators who wish to contribute code.
CMAQ logos: .png and .pdf files of the CMAQ logo.
Owner
- Name: U.S. Environmental Protection Agency
- Login: USEPA
- Kind: organization
- Location: United States of America
- Website: https://www.epa.gov
- Twitter: EPA
- Repositories: 449
- Profile: https://github.com/USEPA
GitHub Events
Total
- Fork event: 24
- Create event: 6
- Release event: 3
- Issues event: 13
- Watch event: 38
- Delete event: 3
- Member event: 2
- Issue comment event: 25
- Push event: 49
- Pull request review comment event: 2
- Pull request review event: 11
- Gollum event: 21
- Pull request event: 44
Last Year
- Fork event: 24
- Create event: 6
- Release event: 3
- Issues event: 13
- Watch event: 38
- Delete event: 3
- Member event: 2
- Issue comment event: 25
- Push event: 49
- Pull request review comment event: 2
- Pull request review event: 11
- Gollum event: 21
- Pull request event: 44
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Kristen Foley | f****n@e****v | 1,278 |
| bill.hutzell | h****l@e****v | 1,178 |
| Ben Murphy | m****n@e****v | 1,165 |
| lizadams | l****s@e****u | 756 |
| Havala Pye | p****a@e****v | 397 |
| fisidi | 4****i | 256 |
| sjr | s****r | 230 |
| Jeff Young | Y****f@e****v | 218 |
| Jesse Bash | b****e@e****v | 211 |
| David Wong | w****c@e****v | 180 |
| yoj | y****j | 178 |
| Tanya Spero | s****a@e****v | 170 |
| fsidi | f****i@n****u | 163 |
| rcboykin | 4****n | 144 |
| chogrefe | h****n@e****v | 139 |
| Chris Nolte | n****s@e****v | 135 |
| Golam Sarwar | s****m@e****v | 128 |
| Jeffrey Willison | j****o@a****r | 83 |
| jbrunto | 6****o | 73 |
| Sergey Napelenok | n****y@e****v | 65 |
| Kathleen Fahey | f****n@e****v | 65 |
| Jon Pleim | p****n@e****v | 59 |
| dkj | k****n@e****v | 56 |
| Zac Adelman | z****c@u****u | 55 |
| Shawn Roselle | R****n@e****v | 49 |
| barronh | b****h@g****m | 47 |
| Tommy Skipper | s****y@e****v | 47 |
| Jeff Willison | j****0@g****m | 44 |
| Deborah Luecken | l****h@e****v | 42 |
| Donna Schwede | s****a@e****v | 41 |
| and 46 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 70
- Total pull requests: 203
- Average time to close issues: 4 months
- Average time to close pull requests: 10 days
- Total issue authors: 38
- Total pull request authors: 35
- Average comments per issue: 2.14
- Average comments per pull request: 0.33
- Merged pull requests: 177
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 7
- Pull requests: 48
- Average time to close issues: about 2 months
- Average time to close pull requests: 5 days
- Issue authors: 5
- Pull request authors: 12
- Average comments per issue: 1.0
- Average comments per pull request: 0.4
- Merged pull requests: 36
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- zacadelman (9)
- kmfoley (7)
- bnmurphy (6)
- lizadams (5)
- ArcherAccelerator (4)
- chogrefe (2)
- bismarck99 (2)
- HathewayWill (2)
- XiaoLinhong (2)
- ramespada (2)
- prehensilecode (2)
- shanguanrain (1)
- Shigan-Liu (1)
- hnqtran (1)
- mugguin (1)
Pull Request Authors
- bnmurphy (47)
- kmfoley (35)
- lizadams (26)
- jbrunto (16)
- sergeynk (9)
- CMASCenter (6)
- dwongepa (6)
- cgnolte (6)
- ramespada (6)
- fisidi (5)
- jessebash (5)
- bhutzell (4)
- chogrefe (4)
- havalapye (4)
- gongkangjia (3)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- cdo ==1.5.3
- importlib_metadata >=4.6
- matplotlib >=3.3.4
- netCDF4 >=1.5.8
- numpy >=1.19.5
- pandas >=1.1.5
- pseudonetcdf >=3.2.0
- pycno >=0.2.0
- pyproj >=2.6.1
- setuptools >=58.0
- basemap >=1.3.0
- cdo ==1.5.3
- importlib_metadata >=4.6
- matplotlib >=3.3.4
- netCDF4 >=1.5.8
- numpy >=1.19.5
- pandas >=1.1.5
- pseudonetcdf >=3.2.0
- pycno >=0.2.0
- pyproj >=2.6.1
- scipy >=1.5.4
- setuptools >=58.0
- xarray >=0.16.2
- cdo ==1.5.3
- pseudonetcdf >=3.2.2
- pycno >=0.2.0