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            <title xml:lang="en">The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling</title>
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                <forename type="first">Lei</forename>
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            <idno type="halRefHtml">&lt;i&gt;Atmospheric Research&lt;/i&gt;, 2024, 312, pp.107759. &lt;a target="_blank" href="https://dx.doi.org/10.1016/j.atmosres.2024.107759"&gt;&amp;#x27E8;10.1016/j.atmosres.2024.107759&amp;#x27E9;&lt;/a&gt;</idno>
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            <idno type="stamp" n="GIP-BE">GIP Bretagne Environnement</idno>
            <idno type="stamp" n="SORBONNE-UNIVERSITE">Sorbonne Université</idno>
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                <title xml:lang="en">The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling</title>
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                <title level="j">Atmospheric Research</title>
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                <term xml:lang="en">Urban</term>
                <term xml:lang="en">Heavy pollution</term>
                <term xml:lang="en">Vertical diffusion</term>
                <term xml:lang="en">First layer height</term>
                <term xml:lang="en">Vertical resolution</term>
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              <p>Chemical transport models (CTM) tend to perform poorly in simulating pollution processes under weak turbulentdiffusion conditions. In this study, we address this issue from the perspectives of vertical grid resolution andvertical mixing schemes. Three vertical grid resolution configurations (L4, L12, L40) with the CHIMERE modelare evaluated during a winter episode, which includes a heavy pollution episode (PE) in the Paris region. Theresults emphasize the significance of vertical grid resolution, particularly noticeable during nighttime, andconsequently impacts CHIMERE simulations under nocturnal stable conditions. Consistent improvement in CTMmodeling is observed with refined vertical resolutions and the first layer height based on a simple linear verticaldiffusion scheme defined as the initial Kz diffusion (IKD) scheme. Compared to the other two configurations, thefinest configuration (referred to as L4-IKD) demonstrates an average improvement in root mean square error of23.26 % and 25.09 % on regular days (RD) and 62 % and 129 % during PE, respectively. However, simulationsusing the 1.5-order turbulence kinetic energy (TKE) based eddy diffusivity closure scheme, named the new eddydiffusion (NED), are more sensitive to the first layer height setup. Excessively fine first-layer heights can lead toinaccurate TKE calculations. Generally, models with low vertical grid resolution can reasonably predict airquality on RD or during light pollution events but struggle with heavy PEs. One straightforward enhancementstrategy involves adding an extra fine first layer height in CTM simulations, resulting in an average 50.10 %improvement from L4-IKD to L12-IKD during PE. Another strategy is enhancing the model’s vertical diffusionscheme, which improved the CTM modeling by 26.67 % compared with IKD during PE under identical verticalgrid resolution.</p>
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          <orgName>Nanjing University of Information Science and Technology</orgName>
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