Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry

<p>Heterogeneous reactions occurring at the surface of atmospheric aerosol particles regulate the production and lifetime of a wide array of atmospheric gases. Aerosol surface area plays a critical role in setting the rate of heterogeneous reactions in the atmosphere. Despite the central role...

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Main Authors: R. A. Bergin, M. Harkey, A. Hoffman, R. H. Moore, B. Anderson, A. Beyersdorf, L. Ziemba, L. Thornhill, E. Winstead, T. Holloway, T. H. Bertram
Format: Article
Language:English
Published: Copernicus Publications 2022-12-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/22/15449/2022/acp-22-15449-2022.pdf
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author R. A. Bergin
M. Harkey
M. Harkey
A. Hoffman
A. Hoffman
R. H. Moore
B. Anderson
A. Beyersdorf
A. Beyersdorf
L. Ziemba
L. Thornhill
L. Thornhill
E. Winstead
E. Winstead
T. Holloway
T. Holloway
T. H. Bertram
author_facet R. A. Bergin
M. Harkey
M. Harkey
A. Hoffman
A. Hoffman
R. H. Moore
B. Anderson
A. Beyersdorf
A. Beyersdorf
L. Ziemba
L. Thornhill
L. Thornhill
E. Winstead
E. Winstead
T. Holloway
T. Holloway
T. H. Bertram
author_sort R. A. Bergin
collection DOAJ
description <p>Heterogeneous reactions occurring at the surface of atmospheric aerosol particles regulate the production and lifetime of a wide array of atmospheric gases. Aerosol surface area plays a critical role in setting the rate of heterogeneous reactions in the atmosphere. Despite the central role of aerosol surface area, there are few assessments of the accuracy of aerosol surface area concentrations in regional and global models. In this study, we compare aerosol surface area concentrations in the EPA's Community Multiscale Air Quality (CMAQ) model with commensurate observations from the 2011 NASA flight-based DISCOVER-AQ (Deriving Information on Surface Conditions from COlumn and VERtically Resolved Observations Relevant to Air Quality) campaign. The study region includes the Baltimore and Washington, D.C. metropolitan area. Dry aerosol surface area was measured aboard the NASA P-3B aircraft using an ultra-high-sensitivity aerosol spectrometer (UHSAS). We show that modeled and measured dry aerosol surface area, <span class="inline-formula"><i>S</i><sub>a,mod</sub></span> and <span class="inline-formula"><i>S</i><sub>a,meas</sub></span> respectively, are modestly correlated (<span class="inline-formula"><i>r</i><sup>2</sup>=0.52</span>) and on average agree to within a factor of 2 (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">mod</mi></mrow></msub><mo>/</mo><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">meas</mi></mrow></msub><mo>=</mo><mn mathvariant="normal">0.44</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="105pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="c4791e9b42e6dd70c4016273f7907404"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00001.svg" width="105pt" height="15pt" src="acp-22-15449-2022-ie00001.png"/></svg:svg></span></span>) over the course of the 13 research flights. We show that <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">mod</mi></mrow></msub><mo>/</mo><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">meas</mi></mrow></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="71pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="53e3c246b1ae5238395b67cd66f5152d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00002.svg" width="71pt" height="15pt" src="acp-22-15449-2022-ie00002.png"/></svg:svg></span></span> does not depend strongly on photochemical age or the concentration of secondary biogenic aerosol, suggesting that the condensation of low-volatility gas-phase compounds does not strongly affect model–measurement agreement. In comparison, there is strong agreement between measured and modeled aerosol number concentration (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>N</mi><mi mathvariant="normal">mod</mi></msub><mo>/</mo><msub><mi>N</mi><mi mathvariant="normal">meas</mi></msub><mo>=</mo><mn mathvariant="normal">0.87</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="94pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="c2b479e796d070903c50af20686550bd"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00003.svg" width="94pt" height="14pt" src="acp-22-15449-2022-ie00003.png"/></svg:svg></span></span>, <span class="inline-formula"><i>r</i><sup>2</sup>=0.63</span>). The persistent underestimate of <span class="inline-formula"><i>S</i><sub>a</sub></span> in the model, combined with strong agreement in modeled and measured aerosol number concentrations, suggests that model representation of the size distribution of primary emissions or secondary aerosol formed at the early stages of oxidation may contribute to the observed differences.</p> <p>For reactions occurring on small particles, the rate of heterogeneous reactions is a linear function of both <span class="inline-formula"><i>S</i><sub>a</sub></span> and the reactive uptake coefficient (<span class="inline-formula"><i>γ</i></span>). To assess the importance of uncertainty in modeled <span class="inline-formula"><i>S</i><sub>a</sub></span> for the representation of heterogeneous reactions in models, we compare both the mean and the variance in <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">mod</mi></mrow></msub><mo>/</mo><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">meas</mi></mrow></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="71pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="b67f626ae553d4a3e96b43b9e492730d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00004.svg" width="71pt" height="15pt" src="acp-22-15449-2022-ie00004.png"/></svg:svg></span></span> to those in <span class="inline-formula"><i>γ</i></span>(N<span class="inline-formula"><sub>2</sub></span>O<span class="inline-formula"><sub>5</sub></span>)<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M16" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi/><mi mathvariant="normal">mod</mi></msub><mo>/</mo><mi mathvariant="italic">γ</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="30pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="90bd37049090e6d148d97c5b49d8b62a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00005.svg" width="30pt" height="14pt" src="acp-22-15449-2022-ie00005.png"/></svg:svg></span></span>(N<span class="inline-formula"><sub>2</sub></span>O<span class="inline-formula"><sub>5</sub></span>)<span class="inline-formula"><sub>meas</sub></span>. We find that the uncertainty in model representation of heterogeneous reactions is primarily driven by uncertainty in the parametrization of reactive uptake coefficients, although the discrepancy between <span class="inline-formula"><i>S</i><sub>a,mod</sub></span> and <span class="inline-formula"><i>S</i><sub>a,meas</sub></span> is not insignificant. Our analysis suggests that model improvements to aerosol surface area concentrations, in addition to more accurate parameterizations of heterogeneous kinetics, will advance the representation of heterogeneous chemistry in regional models.</p>
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spelling doaj.art-d4ab71bb8d154f97877df5162390dfd22022-12-22T04:21:56ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242022-12-0122154491546810.5194/acp-22-15449-2022Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistryR. A. Bergin0M. Harkey1M. Harkey2A. Hoffman3A. Hoffman4R. H. Moore5B. Anderson6A. Beyersdorf7A. Beyersdorf8L. Ziemba9L. Thornhill10L. Thornhill11E. Winstead12E. Winstead13T. Holloway14T. Holloway15T. H. Bertram16Department of Chemistry, University of Wisconsin – Madison, Madison, WI 53703, USANelson Institute Center for Sustainability and the Global Environment, University of Wisconsin–Madison, Madison, WI 53703, USADepartment of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, WI 53703, USANelson Institute Center for Sustainability and the Global Environment, University of Wisconsin–Madison, Madison, WI 53703, USADepartment of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, WI 53703, USANASA Langley Research Center, Hampton, VA 23666, USANASA Langley Research Center, Hampton, VA 23666, USANASA Langley Research Center, Hampton, VA 23666, USAnow at: California State University, San Bernardino, San Bernardino, CA 92407, USANASA Langley Research Center, Hampton, VA 23666, USANASA Langley Research Center, Hampton, VA 23666, USAScience Systems and Applications, Inc., Hampton, VA 23666, USANASA Langley Research Center, Hampton, VA 23666, USAScience Systems and Applications, Inc., Hampton, VA 23666, USANelson Institute Center for Sustainability and the Global Environment, University of Wisconsin–Madison, Madison, WI 53703, USADepartment of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, WI 53703, USADepartment of Chemistry, University of Wisconsin – Madison, Madison, WI 53703, USA<p>Heterogeneous reactions occurring at the surface of atmospheric aerosol particles regulate the production and lifetime of a wide array of atmospheric gases. Aerosol surface area plays a critical role in setting the rate of heterogeneous reactions in the atmosphere. Despite the central role of aerosol surface area, there are few assessments of the accuracy of aerosol surface area concentrations in regional and global models. In this study, we compare aerosol surface area concentrations in the EPA's Community Multiscale Air Quality (CMAQ) model with commensurate observations from the 2011 NASA flight-based DISCOVER-AQ (Deriving Information on Surface Conditions from COlumn and VERtically Resolved Observations Relevant to Air Quality) campaign. The study region includes the Baltimore and Washington, D.C. metropolitan area. Dry aerosol surface area was measured aboard the NASA P-3B aircraft using an ultra-high-sensitivity aerosol spectrometer (UHSAS). We show that modeled and measured dry aerosol surface area, <span class="inline-formula"><i>S</i><sub>a,mod</sub></span> and <span class="inline-formula"><i>S</i><sub>a,meas</sub></span> respectively, are modestly correlated (<span class="inline-formula"><i>r</i><sup>2</sup>=0.52</span>) and on average agree to within a factor of 2 (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">mod</mi></mrow></msub><mo>/</mo><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">meas</mi></mrow></msub><mo>=</mo><mn mathvariant="normal">0.44</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="105pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="c4791e9b42e6dd70c4016273f7907404"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00001.svg" width="105pt" height="15pt" src="acp-22-15449-2022-ie00001.png"/></svg:svg></span></span>) over the course of the 13 research flights. We show that <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">mod</mi></mrow></msub><mo>/</mo><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">meas</mi></mrow></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="71pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="53e3c246b1ae5238395b67cd66f5152d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00002.svg" width="71pt" height="15pt" src="acp-22-15449-2022-ie00002.png"/></svg:svg></span></span> does not depend strongly on photochemical age or the concentration of secondary biogenic aerosol, suggesting that the condensation of low-volatility gas-phase compounds does not strongly affect model–measurement agreement. In comparison, there is strong agreement between measured and modeled aerosol number concentration (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>N</mi><mi mathvariant="normal">mod</mi></msub><mo>/</mo><msub><mi>N</mi><mi mathvariant="normal">meas</mi></msub><mo>=</mo><mn mathvariant="normal">0.87</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="94pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="c2b479e796d070903c50af20686550bd"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00003.svg" width="94pt" height="14pt" src="acp-22-15449-2022-ie00003.png"/></svg:svg></span></span>, <span class="inline-formula"><i>r</i><sup>2</sup>=0.63</span>). The persistent underestimate of <span class="inline-formula"><i>S</i><sub>a</sub></span> in the model, combined with strong agreement in modeled and measured aerosol number concentrations, suggests that model representation of the size distribution of primary emissions or secondary aerosol formed at the early stages of oxidation may contribute to the observed differences.</p> <p>For reactions occurring on small particles, the rate of heterogeneous reactions is a linear function of both <span class="inline-formula"><i>S</i><sub>a</sub></span> and the reactive uptake coefficient (<span class="inline-formula"><i>γ</i></span>). To assess the importance of uncertainty in modeled <span class="inline-formula"><i>S</i><sub>a</sub></span> for the representation of heterogeneous reactions in models, we compare both the mean and the variance in <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">mod</mi></mrow></msub><mo>/</mo><msub><mi>S</mi><mrow><mi mathvariant="normal">a</mi><mo>,</mo><mi mathvariant="normal">meas</mi></mrow></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="71pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="b67f626ae553d4a3e96b43b9e492730d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00004.svg" width="71pt" height="15pt" src="acp-22-15449-2022-ie00004.png"/></svg:svg></span></span> to those in <span class="inline-formula"><i>γ</i></span>(N<span class="inline-formula"><sub>2</sub></span>O<span class="inline-formula"><sub>5</sub></span>)<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M16" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi/><mi mathvariant="normal">mod</mi></msub><mo>/</mo><mi mathvariant="italic">γ</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="30pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="90bd37049090e6d148d97c5b49d8b62a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-15449-2022-ie00005.svg" width="30pt" height="14pt" src="acp-22-15449-2022-ie00005.png"/></svg:svg></span></span>(N<span class="inline-formula"><sub>2</sub></span>O<span class="inline-formula"><sub>5</sub></span>)<span class="inline-formula"><sub>meas</sub></span>. We find that the uncertainty in model representation of heterogeneous reactions is primarily driven by uncertainty in the parametrization of reactive uptake coefficients, although the discrepancy between <span class="inline-formula"><i>S</i><sub>a,mod</sub></span> and <span class="inline-formula"><i>S</i><sub>a,meas</sub></span> is not insignificant. Our analysis suggests that model improvements to aerosol surface area concentrations, in addition to more accurate parameterizations of heterogeneous kinetics, will advance the representation of heterogeneous chemistry in regional models.</p>https://acp.copernicus.org/articles/22/15449/2022/acp-22-15449-2022.pdf
spellingShingle R. A. Bergin
M. Harkey
M. Harkey
A. Hoffman
A. Hoffman
R. H. Moore
B. Anderson
A. Beyersdorf
A. Beyersdorf
L. Ziemba
L. Thornhill
L. Thornhill
E. Winstead
E. Winstead
T. Holloway
T. Holloway
T. H. Bertram
Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
Atmospheric Chemistry and Physics
title Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
title_full Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
title_fullStr Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
title_full_unstemmed Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
title_short Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
title_sort observation based constraints on modeled aerosol surface area implications for heterogeneous chemistry
url https://acp.copernicus.org/articles/22/15449/2022/acp-22-15449-2022.pdf
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