A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling
Publication Name
Atmosphere
Abstract
Understanding greenhouse gas–climate processes and feedbacks is a fundamental step in understanding climate variability and its links to greenhouse gas fluxes. Chemical transport models are the primary tool for linking greenhouse gas fluxes to their atmospheric abundances. Hence, accurate simulations of greenhouse gases are essential. Here, we present a new simulation in the GEOS-Chem chemical transport model that couples the two main greenhouse gases—carbon dioxide (CO (Formula presented.)) and methane (CH (Formula presented.))—along with the indirect greenhouse gas carbon monoxide (CO) based on their chemistry. Our updates include the online calculation of the chemical production of CO from CH (Formula presented.) and the online production of CO (Formula presented.) from CO, both of which were handled offline in the previous versions of these simulations. In the newly developed coupled (online) simulation, we used consistent hydroxyl radical (OH) fields for all aspects of the simulation, resolving biases introduced by inconsistent OH fields in the currently available uncoupled (offline) CH (Formula presented.), CO and CO (Formula presented.) simulations. We compare our coupled simulation with the existing v12.1.1 GEOS-Chem uncoupled simulations run the way they are currently being used by the community. We discuss differences between the uncoupled and coupled calculation of the chemical terms and compare our results with surface measurements from the NOAA Global Greenhouse Gas Reference Network (NOAA GGGRN), total column measurements from the Total Carbon Column Observing Network (TCCON) and aircraft measurements from the Atmospheric Tomography Mission (ATom). Relative to the standard uncoupled simulations, our coupled results suggest a stronger CO chemical production from CH (Formula presented.), weaker production of CO (Formula presented.) from CO and biases in the OH fields. However, we found a significantly stronger chemical production of CO (Formula presented.) in tropical land regions, especially in the Amazon. The model–measurement differences point to underestimated biomass burning emissions and secondary production for CO. The new self-consistent coupled simulation opens new possibilities when identifying biases in CH (Formula presented.), CO and CO (Formula presented.) source and sink fields, as well as a better understanding of their interannual variability and co-variation.
Open Access Status
This publication may be available as open access
Volume
14
Issue
5
Article Number
764
Funding Number
C01X1817
Funding Sponsor
National Cancer Institute