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        <datestamp>2025-08-12T11:20:47Z</datestamp>
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          <identifier identifierType="DOI">10.5522/04/29882786.v1</identifier>
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            <creator>
              <creatorName>Horner, Rebekah</creatorName>
              <givenName>Rebekah</givenName>
              <familyName>Horner</familyName>
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            <creator>
              <creatorName>Marais, Eloise</creatorName>
              <givenName>Eloise</givenName>
              <familyName>Marais</familyName>
              <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org">0000-0001-5477-8051</nameIdentifier>
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          <titles>
            <title><![CDATA[Vertical profiles of global seasonal mean ozone in five distinct layers throughout the troposphere]]></title>
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          <subjects>
            <subject>Atmospheric composition, chemistry and processes</subject>
            <subject>TROPOMI</subject>
            <subject>ozone</subject>
            <subject>troposphere</subject>
            <subject>cloud-slicing</subject>
            <subject>GEOS-Chem</subject>
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          <dates>
            <date dateType="Created">2025-08-12</date>
            <date dateType="Updated">2025-08-12</date>
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          <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
          <publicationYear>2025</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">Two datasets (and files) are provided. Both are vertical profiles of tropospheric ozone (O<sub>3</sub>) in five distinct layers in the atmosphere: one in the boundary layer (below 800 hPa), two in the middle troposphere (800-600 hPa, 600-450 hPa), and two in the upper troposphere (450-320 hPa, 320-180 hPa). The first is derived with TROPOMI satellite observations and the second simulated with the GEOS-Chem chemical transport model (CTM).</p><p dir="ltr">The satellite-derived data are obtained by cloud-slicing TROPOMI partial columns (stratosphere + troposphere) of O<sub>3</sub> retrieved above optically thick clouds (optical cloud fraction > 0.7) from June 2018 to May 2022 to obtain seasonal multiyear mean global gridded (1<sup>o</sup> x 1<sup>o</sup>) O<sub>3</sub>.</p><p dir="ltr">The second dataset is GEOS-Chem O<sub>3</sub> at the global 2<sup>o</sup> x 2.5<sup>o</sup><sup> </sup>(latitude x longitude) resolution sampled at 12:00-15:00 local solar time (LST) to be centred at the TROPOMI overpass time (13:30 LST). The model data are also multiyear means, but for 2015-2019, due to the time-lag in availability of emission inventories of precursors of O<sub>3</sub>. NaNs in the GEOS-Chem data are high-altitude mountainous regions in the lowest layers or above the tropopause in the highest layers.</p><p dir="ltr">Development of a cloud-slicing algorithm for application to TROPOMI using synthetic data from GEOS-Chem, evaluation of the satellite-derived data against global and regional ozonesonde networks and application of the evaluated cloud-sliced data to assess current understanding of tropospheric O<sub>3</sub> as simulated with the GEOS-Chem model are detailed in the accompanying paper submitted for review to Wiley's Journal of Geophysical Research (JGR).</p>]]></description>
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