Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model
<p>We explore the sensitivity of modeled tropospheric hydroxyl (OH) concentration trends to meteorology and near-term climate forcers (NTCFs), namely methane (CH<span class="inline-formula"><sub>4</sub></span>) nitrogen oxides <span class="inline-form...
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Copernicus Publications
2023-04-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://acp.copernicus.org/articles/23/4955/2023/acp-23-4955-2023.pdf |
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author | G. Chua G. Chua V. Naik L. W. Horowitz |
author_facet | G. Chua G. Chua V. Naik L. W. Horowitz |
author_sort | G. Chua |
collection | DOAJ |
description | <p>We explore the sensitivity of modeled tropospheric hydroxyl (OH) concentration trends to meteorology and near-term climate forcers (NTCFs), namely methane (CH<span class="inline-formula"><sub>4</sub></span>) nitrogen oxides <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>(</mo><mrow class="chem"><msub><mi mathvariant="normal">NO</mi><mi>x</mi></msub></mrow><mo>=</mo><mrow class="chem"><msub><mi mathvariant="normal">NO</mi><mn mathvariant="normal">2</mn></msub></mrow><mo>+</mo><mrow class="chem"><mi mathvariant="normal">NO</mi></mrow><mo>)</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="93pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="1740a284ba68bb05139a5d17b881f526"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-4955-2023-ie00001.svg" width="93pt" height="13pt" src="acp-23-4955-2023-ie00001.png"/></svg:svg></span></span> carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs) and ozone-depleting substances (ODSs), using the Geophysical Fluid Dynamics Laboratory (GFDL)'s atmospheric chemistry–climate model, the Atmospheric Model version 4.1 (AM4.1), driven by emissions inventories developed for the Sixth Coupled Model Intercomparison Project (CMIP6) and forced by observed sea surface temperatures and sea ice prepared in support of the CMIP6 Atmospheric Model Intercomparison Project (AMIP) simulations. We find that the modeled tropospheric air-mass-weighted mean [OH] has increased by <span class="inline-formula">∼5</span> % globally from 1980 to 2014. We find that <span class="inline-formula">NO<sub><i>x</i></sub></span> emissions and CH<span class="inline-formula"><sub>4</sub></span> concentrations dominate the modeled global trend, while CO emissions and meteorology were also important in driving regional trends. Modeled tropospheric NO<span class="inline-formula"><sub>2</sub></span> column trends are largely consistent with those retrieved from the Ozone Monitoring Instrument (OMI) satellite, but simulated CO column trends generally overestimate those retrieved from the Measurements of Pollution in The Troposphere (MOPITT) satellite, possibly reflecting biases in input anthropogenic emission inventories, especially over China and South Asia.</p> |
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language | English |
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spelling | doaj.art-3ad03015c3de499c933793c7e9f05b782023-04-28T14:20:15ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242023-04-01234955497510.5194/acp-23-4955-2023Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate modelG. Chua0G. Chua1V. Naik2L. W. Horowitz3Program in Atmospheric and Oceanic Science, Princeton University, Princeton, NJ, USANOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USANOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USANOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA<p>We explore the sensitivity of modeled tropospheric hydroxyl (OH) concentration trends to meteorology and near-term climate forcers (NTCFs), namely methane (CH<span class="inline-formula"><sub>4</sub></span>) nitrogen oxides <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>(</mo><mrow class="chem"><msub><mi mathvariant="normal">NO</mi><mi>x</mi></msub></mrow><mo>=</mo><mrow class="chem"><msub><mi mathvariant="normal">NO</mi><mn mathvariant="normal">2</mn></msub></mrow><mo>+</mo><mrow class="chem"><mi mathvariant="normal">NO</mi></mrow><mo>)</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="93pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="1740a284ba68bb05139a5d17b881f526"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-4955-2023-ie00001.svg" width="93pt" height="13pt" src="acp-23-4955-2023-ie00001.png"/></svg:svg></span></span> carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs) and ozone-depleting substances (ODSs), using the Geophysical Fluid Dynamics Laboratory (GFDL)'s atmospheric chemistry–climate model, the Atmospheric Model version 4.1 (AM4.1), driven by emissions inventories developed for the Sixth Coupled Model Intercomparison Project (CMIP6) and forced by observed sea surface temperatures and sea ice prepared in support of the CMIP6 Atmospheric Model Intercomparison Project (AMIP) simulations. We find that the modeled tropospheric air-mass-weighted mean [OH] has increased by <span class="inline-formula">∼5</span> % globally from 1980 to 2014. We find that <span class="inline-formula">NO<sub><i>x</i></sub></span> emissions and CH<span class="inline-formula"><sub>4</sub></span> concentrations dominate the modeled global trend, while CO emissions and meteorology were also important in driving regional trends. Modeled tropospheric NO<span class="inline-formula"><sub>2</sub></span> column trends are largely consistent with those retrieved from the Ozone Monitoring Instrument (OMI) satellite, but simulated CO column trends generally overestimate those retrieved from the Measurements of Pollution in The Troposphere (MOPITT) satellite, possibly reflecting biases in input anthropogenic emission inventories, especially over China and South Asia.</p>https://acp.copernicus.org/articles/23/4955/2023/acp-23-4955-2023.pdf |
spellingShingle | G. Chua G. Chua V. Naik L. W. Horowitz Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model Atmospheric Chemistry and Physics |
title | Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model |
title_full | Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model |
title_fullStr | Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model |
title_full_unstemmed | Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model |
title_short | Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model |
title_sort | exploring the drivers of tropospheric hydroxyl radical trends in the geophysical fluid dynamics laboratory am4 1 atmospheric chemistry climate model |
url | https://acp.copernicus.org/articles/23/4955/2023/acp-23-4955-2023.pdf |
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