Articles | Volume 18, issue 11
https://doi.org/10.5194/gmd-18-3311-2025
https://doi.org/10.5194/gmd-18-3311-2025
Model description paper
 | 
04 Jun 2025
Model description paper |  | 04 Jun 2025

Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations

Lucas A. Estrada, Daniel J. Varon, Melissa Sulprizio, Hannah Nesser, Zichong Chen, Nicholas Balasus, Sarah E. Hancock, Megan He, James D. East, Todd A. Mooring, Alexander Oort Alonso, Joannes D. Maasakkers, Ilse Aben, Sabour Baray, Kevin W. Bowman, John R. Worden, Felipe J. Cardoso-Saldaña, Emily Reidy, and Daniel J. Jacob

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Cited articles

AWS: Sentinel-5P Level 2 – Registry of Open Data on AWS, AWS [data set], https://registry.opendata.aws/sentinel5p/ (last access: 25 April 2024), 2024. 
AWS: Blended TROPOMI+GOSAT Satellite Data Product for Atmospheric Methane, AWS [data set], https://registry.opendata.aws/blended-tropomi-gosat-methane/ (last access: 25 February 2025), 2025a. 
AWS: GEOS-Chem Input Data, AWS [data set], https://registry.opendata.aws/geoschem-input-data/ (last access: 25 February 2025), 2025b. 
Balasus, N., Jacob, D. J., Lorente, A., Maasakkers, J. D., Parker, R. J., Boesch, H., Chen, Z., Kelp, M. M., Nesser, H., and Varon, D. J.: A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases, Atmos. Meas. Tech., 16, 3787–3807, https://doi.org/10.5194/amt-16-3787-2023, 2023. 
Baray, S., Vogel, F. R., Varon, D. J., Estrada, L., Balasus, N., Jones, D. B., McLinden, C. A., Griffin, D., Duren, R., and Cusworth, D.: Monitoring methane emissions in Western Canada from space using a constellation of satellites: TROPOMI, GOSAT-1/2, GHGSat, and Carbon Mapper, in: 2023 American Geophysical Union Conference, 11–15 December 2023, San Francisco, USA, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1415398 (last access: 25 February 2025),2023. 
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Short summary
Reducing emissions of methane, a powerful greenhouse gas, is a top policy concern for mitigating anthropogenic climate change. The Integrated Methane Inversion (IMI) is an advanced, cloud-based software that translates satellite observations into actionable emissions data. Here we present IMI version 2.0 with vastly expanded capabilities. These updates enable a wider range of scientific and stakeholder applications from individual basin to global scales with continuous emissions monitoring.
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