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<front>
<journal-meta>
<journal-id journal-id-type="publisher">AMTD</journal-id>
<journal-title-group>
<journal-title>Atmospheric Measurement Techniques Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">AMTD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1867-8610</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/amt-2020-321</article-id>
<title-group>
<article-title>Uncertainty model for dual-Doppler retrievals of wind speed and wind direction</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vasiljević</surname>
<given-names>Nikola</given-names>
<ext-link>https://orcid.org/0000-0002-9381-9693</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Courtney</surname>
<given-names>Michael</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>Pedersen</surname>
<given-names>Anders Tegtmeier</given-names>
<ext-link>https://orcid.org/0000-0002-9132-1357</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark</addr-line>
</aff>
<funding-group>
<award-group id="gs1">
<funding-source></funding-source>
<award-id>12263</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Innovationsfonden</funding-source>
<award-id>7046-00021B</award-id>
</award-group>
</funding-group>
<pub-date pub-type="epub">
<day>17</day>
<month>08</month>
<year>2020</year>
</pub-date>
<volume>2020</volume>
<fpage>1</fpage>
<lpage>25</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2020 Nikola Vasiljević et al.</copyright-statement>
<copyright-year>2020</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://amt.copernicus.org/preprints/amt-2020-321/">This article is available from https://amt.copernicus.org/preprints/amt-2020-321/</self-uri>
<self-uri xlink:href="https://amt.copernicus.org/preprints/amt-2020-321/amt-2020-321.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/preprints/amt-2020-321/amt-2020-321.pdf</self-uri>
<abstract>
<p>&lt;p&gt;In this paper we present an analytical model for estimating the uncertainty of the horizontal wind speed based on dual-Doppler lidar measurements. The model follows the propagation of uncertainties method and takes into account the uncertainty of radial velocity estimation, azimuth and elevation pointing angles, and ranging. The model is achieved by coupling ranging and elevation angle to uncertainty of the probed wind speed through a simple power-law shear model. The model has been implemented in Python and made freely available through as the Python package &lt;i&gt;YADDUM&lt;/i&gt;.&lt;/p&gt;</p>
</abstract>
<counts><page-count count="25"/></counts>
</article-meta>
</front>
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</article>