ESTA
A command-line tool for processing raw emissions data into spatially and temporally-allocated emissions inventories, suitable for photochemicaly modeling or other analysis.
https://github.com/mmb-carb/esta
Category: Emissions
Sub Category: Emission Observation and Modeling
Keywords
air-pollution automobiles emissions inventory modeling on-road
Last synced: about 13 hours ago
JSON representation
Repository metadata
Emissions Spatial and Temporal Allocator model
- Host: GitHub
- URL: https://github.com/mmb-carb/esta
- Owner: mmb-carb
- License: gpl-3.0
- Created: 2017-09-14T15:51:02.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-02T17:58:21.000Z (about 2 years ago)
- Last Synced: 2025-04-17T22:43:08.939Z (9 days ago)
- Topics: air-pollution, automobiles, emissions, inventory, modeling, on-road
- Language: Python
- Homepage:
- Size: 69.4 MB
- Stars: 13
- Watchers: 2
- Forks: 4
- Open Issues: 4
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
ESTA
Emissions Spatial and Temporal Allocator
ESTA is a command-line tool for processing raw emissions data into spatially and temporally-allocated emissions inventories, suitable for photochemicaly modeling or other analysis. ESTA is an open-source, Python-based tool designed by the AQPSD branch of the California EPA's Air Resources Board. Though it is a general-purpose model, it is currently only used for processing on-road inventories.
Recent Updates
The source code is updated to read EMFAC2017 emissions, and has the option to output diesel PM emissions.
The directory NH3_data_EF17_MPO010 contains the NH3 emissions files for several years and user can append the specific year of the NH3 emissions files to the EMFAC2017 emissions files. The scripts that append the NH3 emissions files to the EMFAC2017 emissions files are provided at EF17_format_ld and EF17_format_hd directories.
The current version of the NH3 inventory is MPO010. Day of week fraction file 'calvad_gai_dow_factors_2012.csv' has been replaced with 'pems_dow_factors_2018.csv'.
There is another version of ESTA that uses EMFAC2021 emissions (branch EMFAC2021).
The source code can be downloaded by using the following command.
git clone -b EMFAC2021 https://github.com/mmb-carb/ESTA.git
ESTA Documentation
The ESTA documentation is provided as its own repository:
Open-Source Licence
As ESTA was developed by the California State government, the model and its documenation are part of the public domain. They are openly licensed under the GNU GPLv3 license, and free for all.
Owner metadata
- Name: Modeling and Meteorology Branch of the California Air Resources Board
- Login: mmb-carb
- Email:
- Kind: organization
- Description:
- Website: https://www.arb.ca.gov/homepage.htm
- Location: Sacramento, California
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/31774095?v=4
- Repositories: 4
- Last ynced at: 2023-09-16T18:16:49.862Z
- Profile URL: https://github.com/mmb-carb
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Committers metadata
Last synced: 7 days ago
Total Commits: 551
Total Committers: 5
Avg Commits per committer: 110.2
Development Distribution Score (DDS): 0.541
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| theJollySin | t****n@g****m | 253 |
| John Stilley | j****y@a****v | 147 |
| dchau20 | 5****0 | 122 |
| John Stilley | j****y@a****v | 26 |
| Maybelline Disuanco | m****n | 3 |
Committer domains:
- arb.ca.gov: 2
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 20
Total pull requests: 0
Average time to close issues: 2 months
Average time to close pull requests: N/A
Total issue authors: 3
Total pull request authors: 0
Average comments per issue: 1.3
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- john-science (16)
- leoand23 (3)
- maybuhleen (1)
Top Pull Request Authors
Top Issue Labels
- enhancement (14)
- question (7)
- update (1)
Top Pull Request Labels
Dependencies
- h5py >=2.5.0
- netCDF4 >=1.2.0
- numpy >=1.10.0
- pandas >0.17.0
- pyproj >=1.9.0
- scipy >=0.12.0
Score: 4.442651256490317