Sold by: Atmospheric Chemistry Modeling Group
Deployed on AWS
AWS Free Tier
The Integrated Methane Inversion (IMI) is a user-friendly, cloud-based facility for estimating regional methane emissions.
Overview
The Integrated Methane Inversion (IMI) is a user-friendly, cloud-based facility for estimating regional methane emissions by analytical inversion of satellite observations from the TROPOspheric Monitoring Instrument (TROPOMI). It enables researchers and stakeholders to infer methane emissions at 0.25 x 0.3125 (25 x 25 km2) resolution from TROPOMI satellite data resident on the Amazon Web Services (AWS) cloud, without requiring expert knowledge of inverse methods or cumbersome data download. The IMI uses the GEOS-Chem 3-D chemical transport model, also resident on AWS, as the forward model for the inversion.
IMI Research Paper: Varon, D.J., D.J. Jacob, M. Sulprizio, L.A. Estrada, W.B. Downs, L. Shen, S.E. Hancock, H. Nesser, Z. Qu, E. Penn, Z. Chen, X. Lu, A. Lorente, A. Tewari, and C.A. Randles, 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. Discuss., https://doi.org/10.5194/gmd-2022-45 , 2022.
See the preprint for the IMI 2.0 research paper: https://doi.org/10.5194/egusphere-2024-2700
Highlights
- Open Source, Easy to use tool designed for usage by atmospheric chemistry experts and non-experts alike
- estimate regional methane emissions through analytical inversion of satellite observations from the TROPOspheric Monitoring Instrument (TROPOMI)
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimensions summary
This software is free to use. You pay only for the AWS EC2 compute instance you run it on, billed per hour. Each dimension maps to a specific EC2 instance type, from small general-purpose sizes to large compute-, memory-, and GPU-optimized instances. There are no software license fees for any option. Your cost depends on which instance size you pick and how long you run it. Larger or specialized instances carry higher hourly rates. Choose an instance that matches the compute and memory needs of your methane inversion workload.
Top-of-mind questions for buyers
One hour is one running instance of that EC2 type for the software. The software itself is free, so the hourly charge reflects the underlying AWS compute. Each dimension is a distinct instance size with set CPU, memory, and sometimes GPU resources. You match the instance to your inversion workload.
Hourly charges apply while the instance runs. A fully stopped instance does not accrue compute charges. Stopped instances may still incur AWS storage fees for attached volumes. The software carries no license fee in any state. The documentation includes tips for minimizing AWS costs during use.
The workflow can also run on a local compute cluster, either by building the environment manually or using a docker container. That route avoids EC2 hourly charges. The EC2 dimensions here apply only when you launch and run an AWS compute instance for the inversion.
imi.readthedocs.io
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
This is the official release of IMI 2.3.0. Release notes are available on Github (https://github.com/geoschem/integrated_methane_inversion/releases/tag/imi-2.3.0 ). If you have any suggestions for improvements to the code, documentation, and/or algorithms, please let us know by emailing us at integrated-methane-inversion@g.harvard.edu or submitting a Github Issue.
For detailed information about the IMI, see the IMI 2.0 paper (https://doi.org/10.5194/gmd-18-3311-2025 ).
Updated documentation for the IMI can be found at https://imi.readthedocs.io/en/latest/ .
Additionally, we encourage users to email us at integrated-methane-inversion@g.harvard.edu to introduce their application of the IMI. This allows us to provide important information about bugfixes and new features to the IMI and helps us prioritize future updates. We are scientists, not marketers, you won't receive unnecessary emails.
Please contact the IMI team if you have any questions about the changes. Our contact information is available on the imi website (https://carboninversion.com ).
Additional details
Usage instructions
See our comprehensive documentation at the IMI readthedocs site: https://imi.readthedocs.io/en/latest/getting-started/quick-start.html
Resources
Vendor resources
Support
Vendor support
If you have issues running the IMI, please submit a Github issue to the IMI Github repository: https://github.com/geoschem/integrated_methane_inversion/issues
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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