https://github.com/geoschem/integrated_methane_inversion

Integrated Methane Inversion workflow repository.
https://github.com/geoschem/integrated_methane_inversion

analytical-inversions atmospheric-chemistry atmospheric-composition atmospheric-modeling aws climate-change climate-modeling cloud-computing geos-chem greenhouse-gases inverse-modeling inversions methane python scientific-computing

Last synced: 11 days ago
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Integrated Methane Inversion workflow repository.

• Host: GitHub
• URL: https://github.com/geoschem/integrated_methane_inversion
• Owner: geoschem
• License: mit
• Created: 2020-04-27T00:36:27.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-11-19T17:05:43.000Z (3 months ago)
• Last Synced: 2024-11-19T17:12:11.470Z (3 months ago)
• Topics: analytical-inversions, atmospheric-chemistry, atmospheric-composition, atmospheric-modeling, aws, climate-change, climate-modeling, cloud-computing, geos-chem, greenhouse-gases, inverse-modeling, inversions, methane, python, scientific-computing
• Language: Python
• Homepage: https://imi.readthedocs.org
• Size: 45.1 MB
• Stars: 29
• Watchers: 9
• Forks: 24
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• open-sustainable-technology - Integrated Methane Inversion - Contains the source code for setting up and running the Integrated Methane Inversion with GEOS-Chem. (Emissions / Emission Observation and Modeling)

README

        
# Integrated Methane Inversion (IMI) Workflow

## Overview:

This directory contains the source code for setting up and running the

[Integrated Methane Inversion](https://imi.seas.harvard.edu/) with GEOS-Chem.

## Documentation:

Please see the [IMI readthedocs site](https://imi.readthedocs.io)

## Reference:

Varon, D. J., Jacob, D. J., Sulprizio, M., Estrada, L. A., Downs, W. B., Shen, L., Hancock, S. E., Nesser, H., Qu, Z., Penn, E., Chen, Z., Lu, X., Lorente, A., Tewari, A., and Randles, C. A.: Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations, Geosci. Model Dev., 15, 5787–5805, [https://doi.org/10.5194/gmd-15-5787-2022](https://doi.org/10.5194/gmd-15-5787-2022), 2022.