<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" specific-use="SMUR" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACPD</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACPD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7375</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-2021-954</article-id>
<title-group>
<article-title>Aerosol radiative effects with dual view AOD retrievals</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kinne</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>North</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pearson</surname>
<given-names>Kevin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Popp</surname>
<given-names>Thomas</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>MPI-Meteorology, Hamburg, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Swansea University, Swansea, Great Britain</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>DLR, Pberpfaffenhofen, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>25</day>
<month>11</month>
<year>2021</year>
</pub-date>
<volume>2021</volume>
<fpage>1</fpage>
<lpage>14</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2021 Stefan Kinne et al.</copyright-statement>
<copyright-year>2021</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://acp.copernicus.org/preprints/acp-2021-954/">This article is available from https://acp.copernicus.org/preprints/acp-2021-954/</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/preprints/acp-2021-954/acp-2021-954.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/preprints/acp-2021-954/acp-2021-954.pdf</self-uri>
<abstract>
<p>&lt;p&gt;Seasonal maps of dual view retrieved mid-visible AOD and AODf for four selected years (1998, 2008, 2019, 2020) are introduced and assessed in comparisons to MODIS retrievals and general data of an aerosol climatology. Due to different sensor capabilities (ATSR-2, AATSR and SLSTR) there are still unresolved inconsistencies so that decadal regional trends are not as detectable as with MODIS retrievals. SLSTR retrieval, however, agree with MODIS retrievals that 2020 Covid impacts on AOD values (via comparisons to the pre-COVID 2019 reference) are at best minor and secondary to natural anomalies by wildfires and dust. In radiative transfer applications the dual view AOD data for the four years are processed in the MAC climatology environment to determine aerosol associated radiative effects for total aerosol and for anthropogenic aerosol. Even though the calculated radiative effects are affected by retrieval AOD retrieval tendencies, climate relevant TOA net-flux changes are consistent to result with AOD data from other satellite sensors and a general climatology: &amp;minus;0.9 W/m2 for total aerosol with a significant greenhouse effect and &amp;minus;0.8 and &amp;minus;0.2 W/m2 for anthropogenic aerosol with and without indirect effects, respectively. Aside from global averages, seasonal maps highlight the diversity of regional and seasonal radiative effects.&lt;/p&gt;</p>
</abstract>
<counts><page-count count="14"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>European Space Agency</funding-source>
<award-id>ESA Contract No. 4000126239/19/I-NB</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body/>
<back>
</back>
</article>