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<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>
</journal-title-group>
<issn pub-type="epub">1680-7375</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acpd-12-31767-2012</article-id>
<title-group>
<article-title>Long-term changes of tropospheric NO&lt;sub&gt;2&lt;/sub&gt; over megacities derived from multiple satellite instruments</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hilboll</surname>
<given-names>A.</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>Richter</surname>
<given-names>A.</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>Burrows</surname>
<given-names>J. P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institute of Environmental Physics, University of Bremen, P.O. Box 330 440, 28334 Bremen, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>11</day>
<month>12</month>
<year>2012</year>
</pub-date>
<volume>12</volume>
<issue>12</issue>
<fpage>31767</fpage>
<lpage>31828</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
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<abstract>
<p>Tropospheric NO&lt;sub&gt;2&lt;/sub&gt;, a key pollutant in particular in cities, has been measured from space
  since the mid-1990s by the GOME, SCIAMACHY, OMI, and GOME-2 instruments. These data provide
  a unique global long-term data set of tropospheric pollution. However, the measurements differ in
  spatial resolution, local time of measurement, and measurement geometry. All these factors can
  severely impact the retrieved NO&lt;sub&gt;2&lt;/sub&gt; columns, which is why they need to be taken into account
  when analysing time series spanning more than one instrument.
&lt;br&gt;&lt;br&gt;
  In this study, we present several ways to explicitly account for the instrumental differences in
  trend analyses of the NO&lt;sub&gt;2&lt;/sub&gt; columns derived from satellite measurements, while preserving
  their high spatial resolution. Both a physical method, based on spatial averaging of the measured
  earthshine spectra and extraction of a resolution pattern, and statistical methods, including
  instrument-dependent offsets in the fitted trend function, are developed. These methods are
  applied to data from GOME and SCIAMACHY separately, to the combined time series and to an extended
  data set comprising also GOME-2 and OMI measurements.
&lt;br&gt;&lt;br&gt;
  All approaches show consistent trends of
  tropospheric NO&lt;sub&gt;2&lt;/sub&gt; for a selection of areas on both regional and city scales, for the first
  time allowing consistent trend analysis of the full time series at high spatial resolution and
  significantly reducing the uncertainties of the retrieved trend estimates compared to previous
  studies.
&lt;br&gt;&lt;br&gt;
  We show that measured tropospheric NO&lt;sub&gt;2&lt;/sub&gt; columns have been strongly increasing over China,
  the Middle East, and India, with values over East Central China triplicating from 1996 to
  2011. All parts of the developed world, including Western Europe, the United States, and Japan,
  show significantly decreasing NO&lt;sub&gt;2&lt;/sub&gt; amounts in the same time period. On a megacity level,
  individual trends can be as large as +27 ± 3.7% yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt; and
  +20 ± 1.9% yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt; in Dhaka and Baghdad, respectively, while Los Angeles
  shows a very strong decrease of −6.0 ± 0.37% yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt;. Most megacities in
  China, India, and the Middle East show increasing NO&lt;sub&gt;2&lt;/sub&gt; columns of
  +5–10% yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt;, leading to a doubling to triplication within the observed
  period. While linear trends derived with the different methods are consistent, comparison of the
  GOME and SCIAMACHY time series as well as inspection of time series over individual areas shows
  clear indication of non-linear changes in NO&lt;sub&gt;2&lt;/sub&gt; columns in response to rapid changes in
  technology used and the economical situation.</p>
</abstract>
<counts><page-count count="62"/></counts>
</article-meta>
</front>
<body/>
<back>
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