Modeling Atmospheric Composition

Working Group Focus

Reduce the uncertainty in modeled atmospheric chemistry from fire by updating chemical and physical processes and determining which processes matter the most.

Led by

• Shyno Susan John, University of Wollongong, Australia
• Yang Li, Baylor University, USA

Potential Goals

• Top-down inversion study of each inventory
• Quantify when and where plume rise and diurnal cycle are important through sensitivity studies
• Region-specific and biome-specific evaluation of capabilities
• Are large anomalous wildfires more difficult to represent

Vote on these goals and add more suggestions on this Form.

Alternatively, email BBURNED@igacproject.org with the Subject line "Emission Estimation WG input".