Articles | Volume 25, issue 21
https://doi.org/10.5194/acp-25-15527-2025
https://doi.org/10.5194/acp-25-15527-2025
Research article
 | 
13 Nov 2025
Research article |  | 13 Nov 2025

Quantifying CO emissions from boreal wildfires by assimilating TROPOMI and TCCON observations

Sina Voshtani, Dylan B. A. Jones, Debra Wunch, Drew C. Pendergrass, Paul O. Wennberg, David F. Pollard, Isamu Morino, Hirofumi Ohyama, Nicholas M. Deutscher, Frank Hase, Ralf Sussmann, Damien Weidmann, Rigel Kivi, Omaira García, Yao Té, Jack Chen, Kerry Anderson, Robin Stevens, Shobha Kondragunta, Aihua Zhu, Douglas Worthy, Senen Racki, Kathryn McKain, Maria V. Makarova, Nicholas Jones, Emmanuel Mahieu, Andrea Cadena-Caicedo, Paolo Cristofanelli, Casper Labuschagne, Elena Kozlova, Thomas Seitz, Martin Steinbacher, Reza Mahdi, and Isao Murata

Data sets

TROPOMI Level 2 Carbon Monoxide total column products Copernicus Sentinel-5P https://doi.org/10.5270/S5P-bj3nry0

2020 TCCON Data Release (GGG2020) Total Carbon Column Observing Network (TCCON) Team https://doi.org/10.14291/TCCON.GGG2020

geoschem/GCClassic: GEOS-Chem Classic 14.1.1 The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.7696651

Model code and software

Canadian Fire Emissions Prediction System (CFFEPS) K. Anderson and cast of thousands https://doi.org/10.5281/zenodo.2579383

drewpendergrass/CHEEREIO: CHEEREIO v1.3.1 release D. Pendergrass et al. https://doi.org/10.5281/zenodo.11534085

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Short summary
We assess the complementarity of the greater temporal coverage provided by ground-based remote sensing data with the spatial coverage of satellite observations when these data are used together to quantify CO emissions from extreme wildfires in 2023. Our results reveal that the commonly used biomass burning emission inventories significantly underestimate the fire emissions and emphasize the importance of the ground-based remote sensing data in reducing uncertainties in the estimated emissions.
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