Articles | Volume 15, issue 14
Model description paper
27 Jul 2022
Model description paper |  | 27 Jul 2022

Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations

Daniel J. Varon, Daniel J. Jacob, Melissa Sulprizio, Lucas A. Estrada, William B. Downs, Lu Shen, Sarah E. Hancock, Hannah Nesser, Zhen Qu, Elise Penn, Zichong Chen, Xiao Lu, Alba Lorente, Ashutosh Tewari, and Cynthia A. Randles


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-45', Anonymous Referee #1, 30 Mar 2022
  • RC2: 'Comment on gmd-2022-45', Christian Frankenberg, 02 May 2022
  • AC1: 'Comment on gmd-2022-45 -- Responses to reviewers', Daniel Varon, 08 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel Varon on behalf of the Authors (08 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Jun 2022) by Fiona O'Connor
Short summary
Reducing atmospheric methane emissions is critical to slow near-term climate change. Globally surveying satellite instruments like the TROPOspheric Monitoring Instrument (TROPOMI) have unique capabilities for monitoring atmospheric methane around the world. Here we present a user-friendly cloud-computing tool that enables researchers and stakeholders to quantify methane emissions across user-selected regions of interest using TROPOMI satellite observations.