Summer School for Inverse Modeling of Greenhouse Gases (SSIM-GHG) 2025 (PRELIMINARY)
Motivation
Rising concentrations of CO2 and CH4 are the driver of climate change and reflect a complex mix of natural and human sources and sinks. For example, plants and oceans absorb about half of human CO2 emissions every year, slowing the progression of climate change. Tracking progress to combat climate change requires good quality understanding of sources and sinks and underlying processes, which come from a variety of complex modeling tools that help scientists calculate the exchanges of CO2 and CH4 at the Earth’s surface from atmospheric data. This workshop, supported by the newly-established US Greenhouse Gas Center, aims to develop a future workforce skilled at using existing tools as well as building their own tools to understand sources and sinks of greenhouse gases.
Workshop goals
The goal of the workshop is to present and provide guidance and instruction of the state of the art in atmospheric data assimilation techniques needed to support current and future GHG observing systems. This includes different flux estimation techniques for GHGs, and retrieval techniques for estimating atmospheric GHGs from space-based and surface-based remote sensing platforms.
Sponsors





Presentations
Note: Some videos are concatenated across multiple speakers***
Week One:
Student Homework to be reviewed before Summer School***
Instructors: Michael Bertolacci and Sean Crowell
Speaker | Title/Slides and/or Notebooks | Video |
---|---|---|
Michael Bertolacci | Linear Algebra and Probability | Linear Algebra and Probability |
Michael Bertolacci | Linear Models | Linear Models |
Michael Bertolacci | Bayesian Linear Models | Bayesian Linear Models |
Jupyter Notebook by Sean Crowell | Jupyter Notebooks (Python) Please read the README | NA |
Background/Intro – Tuesday, July 8th
Instructors: Scott Denning, Sean Crowell, Gretchen Keppel-Aleks, Andy Jacobson
Speaker | Title | Video |
---|---|---|
Scott Denning | ||
Lori Bruhwiler | ||
Andy Jacobson, Sean Crowell |
Bayesian Matrix Methods – Wednesday, July 9th
Speaker | Title | Video |
---|---|---|
Hannah Nesser | ||
Michael Bertolacci |
Bayesian Matrix Methods / Plume Methods – Thursday, July 10th
Speaker | Title | Video |
---|---|---|
Michael Bertolacci | ||
Hannah Nesser |
Ensemble Kalman Filter Methods- Friday, July 11th
Speaker | Title | Video |
---|---|---|
Andy Jacobson |
Week Two:
4DVAR/Variational Methods – Monday, July 14
Speaker | Title | Video |
---|---|---|
David Baker |
Trace Gas Retrievals – Tuesday, July 15
Speaker | Title | Video |
---|---|---|
Chris O’Dell |
LPDM Methods I and METEC Field Trip – Wednesday, July 16
Speaker | Title | Video |
---|---|---|
Introduction Speaker? | ||
Dien Wu | ||
Kim Mueller | ||
Ben Hmiel | ||
Anna Hodshire |
Field Trip to Niwot Ridge, CO (facilitated by NOAA-GML), Wednesday, June 19
LPDM Methods II – Thursday, July 17
Speaker | Title | Video |
---|---|---|
Dien Wu | ||
Kim Mueller |
TBD – Friday, June 21
Speaker | Topic/Slides | Video |
---|---|---|
TBD |
Resources
References
Q&A
Toy Example Code
Code for the toy examples presented in class can be found at the following link: https://github.com/US-GHG-Center/ssim-ghg
This is “stub” for SSIM-GHG-2025 Summer School archive and be aware that the code for 2025 has not been finalized yet (code on github is consistent with what was presented in 2024).