Articles | Volume 26, issue 2
https://doi.org/10.5194/acp-26-1229-2026
https://doi.org/10.5194/acp-26-1229-2026
Research article
 | 
26 Jan 2026
Research article |  | 26 Jan 2026

Methane fluxes from Arctic & boreal North America: comparisons between process-based estimates and atmospheric observations

Hanyu Liu, Misa Ishizawa, Felix R. Vogel, Zhen Zhang, Benjamin Poulter, Leyang Feng, Ao Chen, Anna L. Gagné-Landmann, Deborah N. Huntzinger, Joe R. Melton, Vineet Yadav, Dylan C. Gaeta, Ziting Huang, Douglas E. J. Worthy, Douglas Chan, and Scot M. Miller

Data sets

CAMS global emission inventories Copernicus Atmosphere Monitoring Service https://doi.org/10.24381/1d158bec

CarbonTracker-CH4 Global Monitoring Laboratory https://doi.org/10.25925/40jt-qd67

Gridded inventory of Canada's anthropogenic methane emissions for 2018 T. Scarpelli et al. https://doi.org/10.7910/DVN/CC3KLO

Gridded EPA U.S. Anthropogenic Methane Greenhouse Gas Inventory (gridded GHGI) (v1.0) E. E. McDuffie et al. https://doi.org/10.5281/zenodo.8367082

Global Fire Emissions Database, Version 4.1 (GFEDv4) (Version 4.1) J. T. Randerson et al. https://doi.org/10.3334/ORNLDAAC/1293

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Short summary
We find that the state-of-the-art process-based methane flux models have both lower flux magnitude and reduced inter-model uncertainty compared to a previous model inter-comparison from over a decade ago. Despite these improvements, methane flux estimates from process-based models are still likely too high compared to atmospheric observations. We also find that models with simpler parameterizations often result in better agreement with atmospheric observations in high-latitude North America.
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