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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/egusphere-2026-4673</article-id>
<title-group>
<article-title>Multi-level tower estimates of friction velocity in the Taklimakan Desert: sensitivity to height selection, wind direction, and causal controls</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Yifei</given-names>
</name>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huo</surname>
<given-names>Wen</given-names>
<ext-link>https://orcid.org/0000-0002-7861-2424</ext-link>
</name>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maihamuti</surname>
<given-names>Mayibaier</given-names>
</name>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wulayin</surname>
<given-names>Yisilamu</given-names>
</name>
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</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Xinjiang Branch of China Meteorological Administration Training Centre, Urumqi 830013, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>09</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>20</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Yifei Wang et al.</copyright-statement>
<copyright-year>2026</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://egusphere.copernicus.org/preprints/2026/egusphere-2026-4673/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4673/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4673/egusphere-2026-4673.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4673/egusphere-2026-4673.pdf</self-uri>
<abstract>
<p>Friction velocity (u*) underpins estimates of dust emission, but profile-derived values may depend on measurement height, wind direction and site conditions. We analysed multilevel tower observations from Tazhong (TZ) and Xiaotang (XT) during March&amp;ndash;July 2024, together with ERA5 data and convergent cross mapping (CCM). TZ had greater terrain ruggedness than XT (TRI, 3.0 versus 1.4) and a slightly higher mean daily u* (0.24 versus 0.21 m s&amp;minus;1). The monthly maximum frequency of hourly u* above 0.30 m s&amp;minus;1 was 57.23 % at TZ and 48.46 % at XT. Across seven height configurations, H01 (1, 2, 4, 10 and 20 m) gave the lowest RMSE and highest Pearson correlation for both fitting approaches. Against an ERA5-derived neutral-profile reference, finite-L H01 fits had RMSEs of 0.186 and 0.191 m s&amp;minus;1 at TZ and XT, respectively, with correlations of 0.195 and 0.261. Neutral-only H01 fits had RMSEs of 0.118 and 0.129 m s&amp;minus;1 and correlations of 0.396 and 0.417. Directional differences were more pronounced at TZ, where the high-level H05 configuration generally produced larger median u* than lower-level configurations across wind sectors. CCM cross-map skill for 10 m wind speed was similar at both sites (maximum &amp;rho; = 0.24), whereas net-radiation skill was higher at TZ (0.44) than XT (0.25). Surface&amp;ndash;air temperature contrast showed a similar site difference (0.38 versus 0.22), while air-temperature contrast was comparable (0.40 at both sites). These results show that height configuration and wind direction shape profile-derived estimates, while thermal associations vary between sites.</p>
</abstract>
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