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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-11-11455-2011</article-id>
<title-group>
<article-title>Using boundary layer equilibrium to reduce uncertainties in transport models and CO&lt;sub&gt;2&lt;/sub&gt; flux inversions</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Williams</surname>
<given-names>I. N.</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>Riley</surname>
<given-names>W. J.</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>Torn</surname>
<given-names>M. S.</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>Berry</surname>
<given-names>J. A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Biraud</surname>
<given-names>S. C.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geophysical Sciences, University of Chicago, Chicago, IL, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Lawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Carnegie Institution of Washington, Stanford, CA, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>04</month>
<year>2011</year>
</pub-date>
<volume>11</volume>
<issue>4</issue>
<fpage>11455</fpage>
<lpage>11495</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>This paper reexamines evidence for previously hypothesized errors in
      atmospheric transport models and CO&lt;sub&gt;2&lt;/sub&gt; flux inversions by
      evaluating the diagnostics used to infer vertical mixing rates from
      observations. Several conventional mixing diagnostics are compared to
      analyzed mixing using data from the US Southern Great Plains
      Atmospheric Radiation Measurement Climate Research Facility, the
      CarbonTracker data assimilation system based on Transport Model
      version 5 (TM5), and atmospheric reanalyses. The results demonstrate
      that previous diagnostics based on boundary layer depth and vertical
      concentration gradients are unreliable indicators of vertical
      mixing. Vertical mixing rates are anti-correlated with boundary layer
      depth at some sites, diminishing in summer when the boundary layer is
      deepest. Vertical CO&lt;sub&gt;2&lt;/sub&gt; gradients between the boundary layer and
      free-troposphere are strongly affected by seasonal surface fluxes and
      therefore do not accurately reflect vertical mixing rates. The finite
      timescale over which vertical tracer gradients relax toward
      equilibrium is proposed as an improved mixing diagnostic, which can be
      applied to observations and model simulations of CO&lt;sub&gt;2&lt;/sub&gt; or other
      conserved boundary layer tracers with surface sources and sinks. This
      diagnostic does not require dynamical variables from the transport
      models, and is independent of possible systematic biases in prior- and
      post-inversion seasonal surface fluxes. Results indicate that
      observations frequently cited as evidence for systematic biases in
      atmospheric transport models are insufficient to prove that such
      biases exist. Some previously hypothesized transport model biases, if
      found and corrected, could cause inverse estimates to further diverge
      from land-based estimates.</p>
</abstract>
<counts><page-count count="41"/></counts>
</article-meta>
</front>
<body/>
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