https://github.com/hammerling-research-group/puff
Implementation of the Gaussian Puff Forward Atmospheric Model in R
https://github.com/hammerling-research-group/puff
atmospheric-model dlq emissions gaussian oil-and-gas r sensors
Last synced: 3 months ago
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Implementation of the Gaussian Puff Forward Atmospheric Model in R
- Host: GitHub
- URL: https://github.com/hammerling-research-group/puff
- Owner: Hammerling-Research-Group
- License: mit
- Created: 2024-09-19T22:09:18.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-03-08T20:35:58.000Z (3 months ago)
- Last Synced: 2025-03-08T21:35:36.664Z (3 months ago)
- Topics: atmospheric-model, dlq, emissions, gaussian, oil-and-gas, r, sensors
- Language: R
- Homepage: https://ams.mines.edu/hammerling-research-group/research/puff
- Size: 1.46 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Gaussian Puff Model
[](https://www.repostatus.org/#wip)
[](https://github.com/Hammerling-Research-Group/puff/actions/workflows/r.yml)
[](https://github.com/Hammerling-Research-Group/puff/blob/main/LICENSE)
[](https://github.com/Hammerling-Research-Group/puff/graphs/contributors/)⚠️ *Development is active, with changes occurring daily.* ⚠️
The puff package implements a computationally efficient Gaussian puff atmospheric dispersion model. A fast version of this [already exists in Python](https://github.com/rykerfish/FastGaussianPuff). This current effort, then, is to develop something similar in R.