the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effects of different emission inventories on tropospheric ozone and methane lifetime
Abstract. This study assesses the influence of anthropogenic emission inventories of ozone (O3) precursor species (i.e., NOx, CO and non-methane hydrocarbons (NMHCs)) prescribed in the simulations of the two phases of the Chemistry-Climate Model Initiative (CCMI) on tropospheric O3, the hydroxyl radical (OH) and the methane (CH4) lifetime. We performed two transient simulations for the period 2000–2010 with the chemistry-climate model EMAC, one prescribing the emission inventory of CCMI-1, and the other that of CCMI-2022. Using the tagging approach, we attribute the differences of O3, OH and the tropospheric CH4 lifetime to individual emission sectors. It is, to our knowledge, the first application of the tagging approach to attribute changes of the simulated CH4 lifetime to individual emission sectors.
The emission inventory used for CCMI-2022 leads to a 3.7 % larger tropospheric O3 column, and to a 3.2 % shorter tropospheric CH4 lifetime compared to CCMI-1 in the northern hemisphere. In the southern hemisphere, the tropospheric O3 column is 4.5 % larger, and the tropospheric CH4 lifetime 4.3 % shorter. Differences in tropospheric O3 are largely driven by changes of emissions from the anthropogenic non-traffic and land transport sectors in the northern hemisphere. In the southern hemisphere, the primary contributors are emissions from anthropogenic non-traffic, biomass burning and shipping. These sectors also play a significant role in reducing the simulated tropospheric CH4 lifetime. However, the contribution of a particular sector to changes in O3 does not necessarily align with its impact on the CH4 lifetime.
Competing interests: At least one author is member of the editorial board of ACP.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.- Preprint
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Status: open (until 12 Apr 2025)
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RC1: 'Comment on egusphere-2025-294', Anonymous Referee #1, 20 Mar 2025
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The manuscript “Effects of different emission inventories on tropospheric ozone and methane lifetime” investigates the influence of ozone precursor emissions on model simulations of ozone concentrations and methane lifetime. The authors applied a tagging approach to attribute differences in these variables to specific emission sectors. The manuscript is well-written, and the results provide valuable insights into inter-model differences in tropospheric ozone and OH concentrations. I recommend the manuscript for publication after addressing the following minor comments:
L120: Are there other non-methane volatile organic compounds included in the biogenic emissions besides C5H8?
Line 150 and Table 3: It would be beneficial to include both absolute and relative differences in emissions between the EMIS-01 and EMIS-02 simulations. This would provide a clearer comparison of the two emission inventories.
Section 2.2.3 The TAGGING submodel is used to attribute O3 production and OH mixing ratios to different emission sectors. However, given the highly nonlinear chemistry of O3 and OH, a more detailed explanation of how the TAGGING method attributes O3 and OH to individual emissions sectors would enhance the reader’s understanding of the results.
In equation (9), are there other ozone precursors (e.g. CO, NMVOC) also contributing to B(O3)? Are the differences in burden efficiency influenced by other ozone precursors?
The authors use two different methods to calculate changes in CH4 lifetime attributable to individual emission sources. While the two methods yield similar results for most sectors, they show divergent results for the land transportation sector (in Figure 7, method 1 indicates a large negative contribution, while method 2 shows a positive contribution). This discrepancy warrants further explanation. I recommend that the authors calculate the global tropospheric CH4 reaction-weighted OH concentrations contributed by each emission sector and simulation. This would provide a clearer understanding of how emissions influence CH4 lifetime.
L354 “the CH4 reduction from EMIS-01 to EMIS-01 in the NH”. I think it should be “the CH4 lifetime reduction from EMIS-01 to EMIS-02 in the NH”.
Citation: https://doi.org/10.5194/egusphere-2025-294-RC1
Data sets
Effects of different emission inventories on tropospheric ozone and methane lifetime, results of EMIS-01 simulation Catherine Acquah, Laura Stecher, Mariano Mertens, and Patrick Jöckel https://doi.org/10.5281/zenodo.14712801
Effects of different emission inventories on tropospheric ozone and methane lifetime, results of EMIS-02 simulation Catherine Acquah, Laura Stecher, Mariano Mertens, and Patrick Jöckel https://doi.org/10.5281/zenodo.14712939
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