Tropospheric oxidation chemistry and methane growth: a process-based attribution of OH variability (2003–2022)
- 1NSF NCAR Atmospheric Chemistry Observations & Modeling (Boulder, United States of America)
- 2University of Arizona (Tucson, United States of America)
Abstract
Earth system models that include interactive chemistry provide a mechanistic understanding of the hydroxyl radical (OH) sources and sinks. However, their use is often limited in the estimation of the global methane (CH ₄ ) budget. We conduct 20-year emission-driven methane simulations (2003–2022) with the Community Earth System Model Version 2.2 (CESM2.2) nudged to different meteorological datasets and input various chemical emissions dataset, including the Seventh Coupled Model Intercomparison Project (CMIP7). Our evaluation of the different model configurations includes comparison with in-situ observations from the NOAA Marine Boundary Layer Reference and airborne field studies, as well as ground-based and satellite remote sensing observations of carbon monoxide (CO) and CH ₄ . We find that the model configurations with a lower OH abundance have improved skill in reproducing both CO and CH ₄ spatial and temporal variations, including the CH ₄ annual growth rate. We quantify the OH impacts on the CH ₄ growth rate and derive a comprehensive attribution of OH changes to Earth System chemical processes. Despite an interannual variability lower than 4 %, changes in OH explain around 30 % of the interannual variability of the CH ₄ growth throughout the 2003–2022 period. The OH changes arise from both internal variability – via biogenic and lightning emission responses – and prescribed surface emissions. We find that OH is well buffered against chemistry perturbations, as increased chemical complexity raises the OH recycling probability. Consequently, studies relying on simplified and prescribed OH representations may neglect these complex chemical feedbacks and overestimate the role of OH changes in driving the CH ₄ growth rate.
Versions
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BibTeX
@article{gaubert2026tropospheric,
title = {{Tropospheric oxidation chemistry and methane growth: a process-based attribution of OH variability (2003–2022)}},
author = {Benjamin Gaubert and Mohammad Amin Mirrezaei and Rafael P. Fernandez and Ivan Ortega and Louisa Emmons and John Orlando and Youmi Oh and Lori Bruhwiler and Shuo Chen and Gabrielle Pétron and Xin Lan and Claire Granier and Nicolas Zilbermann and Idir Bouarar and Guy P. Brasseur and Chuan Feng and Yangyang Xu and Alfonso Saiz-Lopez and Carlos A. Cuevas and Avelino F. Arellano Jr.},
journal = {Atmospheric Chemistry and Physics},
year = {2026},
month = nov,
doi = {10.5194/acp-26-15683-2026},
url = {https://doi.org/10.5194/acp-26-15683-2026},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Tropospheric oxidation chemistry and methane growth: a process-based attribution of OH variability (2003–2022)
AU - Benjamin Gaubert
AU - Mohammad Amin Mirrezaei
AU - Rafael P. Fernandez
AU - Ivan Ortega
AU - Louisa Emmons
AU - John Orlando
AU - Youmi Oh
AU - Lori Bruhwiler
AU - Shuo Chen
AU - Gabrielle Pétron
AU - Xin Lan
AU - Claire Granier
AU - Nicolas Zilbermann
AU - Idir Bouarar
AU - Guy P. Brasseur
AU - Chuan Feng
AU - Yangyang Xu
AU - Alfonso Saiz-Lopez
AU - Carlos A. Cuevas
AU - Avelino F. Arellano Jr.
PY - 2026
DA - 2026/11/09
JO - Atmospheric Chemistry and Physics
DO - 10.5194/acp-26-15683-2026
UR - https://doi.org/10.5194/acp-26-15683-2026
AB - Earth system models that include interactive chemistry provide a mechanistic understanding of the hydroxyl radical (OH) sources and sinks. However, their use is often limited in the estimation of the global methane (CH ₄ ) budget. We conduct 20-year emission-driven methane simulations (2003–2022) with the Community Earth System Model Version 2.2 (CESM2.2) nudged to different meteorological datasets and input various chemical emissions dataset, including the Seventh Coupled Model Intercomparison Project (CMIP7). Our evaluation of the different model configurations includes comparison with in-situ observations from the NOAA Marine Boundary Layer Reference and airborne field studies, as well as ground-based and satellite remote sensing observations of carbon monoxide (CO) and CH ₄ . We find that the model configurations with a lower OH abundance have improved skill in reproducing both CO and CH ₄ spatial and temporal variations, including the CH ₄ annual growth rate. We quantify the OH impacts on the CH ₄ growth rate and derive a comprehensive attribution of OH changes to Earth System chemical processes. Despite an interannual variability lower than 4 %, changes in OH explain around 30 % of the interannual variability of the CH ₄ growth throughout the 2003–2022 period. The OH changes arise from both internal variability – via biogenic and lightning emission responses – and prescribed surface emissions. We find that OH is well buffered against chemistry perturbations, as increased chemical complexity raises the OH recycling probability. Consequently, studies relying on simplified and prescribed OH representations may neglect these complex chemical feedbacks and overestimate the role of OH changes in driving the CH ₄ growth rate.
SN - 1680-7324
ER -