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

SpeakerTitle/Slides and/or NotebooksVideo
Michael BertolacciLinear Algebra and ProbabilityLinear Algebra and Probability
Michael BertolacciLinear ModelsLinear Models
Michael BertolacciBayesian Linear ModelsBayesian 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

SpeakerTitleVideo
Lucas Estrada, Betsy Farris, Jess Lyons“How to survive Summer School”
Scott DenningGlobal Carbon Cycle: CO2
Lori BruhwilerGlobal Carbon Cycle: CH4

Andy Jacobson

In-situ Observations
Sean CrowellSatellite Observations
Atmospheric Transport and Bayesian Matrix Inversion Methods – Wednesday, July 9th

SpeakerTitleVideo
Scott DenningAtmospheric Transport Modeling
Hannah NesserBatch Inversion Intro
Hannah NesserJacobian/Sensitivity Matrix Intro
Michael Bertolacci, Sourish BasuPrior Flux and MDM Covariances

Bayesian Matrix Methods / Plume Methods – Thursday, July 10th

SpeakerTitleVideo
Hannah NesserInversion Diagnostics
Sean CrowellPlume Methods

Ensemble Kalman Filter Methods- Friday, July 11th

SpeakerTitleVideo
Andy JacobsonKalman, Historical Perspective
Andy JacobsonKalman Filtering Techniques

Week Two:

4DVAR/Variational Methods – Monday, July 14

SpeakerTitleVideo
David BakerVariational Methods

Trace Gas Retrievals – Tuesday, July 15

SpeakerTitleVideo
Chris O’DellGHG Retrievals Part I
Chris O’DellGHG Retrievals Part II

LPDM Methods I and METEC Field Trip – Wednesday, July 16

SpeakerTitleVideo
Dien WuRegional Inversion Introduction
Dien WuLagrangian Methods
Ben Hmiel
Anna Hodshire

Field Trip to Niwot Ridge, CO (facilitated by NOAA-GML), Wednesday, June 19

LPDM Methods II – Thursday, July 17
SpeakerTitleVideo
Kim MuellerEngineering a Regional Inversion
Hannah NesserBoundary Conditions

Resources

References

Stockie et al 2011, Plume Methods Paper

“L” curve paper as referenced by Andy Jacobson

Toy Example Cheat Sheet (pptx)

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).