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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Gabriel B. Senay</dc:contributor>
  <dc:contributor>Naga Manohar  Velpuri</dc:contributor>
  <dc:contributor>Stefanie Kagone</dc:contributor>
  <dc:creator>Lei Ji</dc:creator>
  <dc:date>2019</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;The Operational Simplified Surface Energy Balance (SSEBop) model uses the principle of satellite psychrometry to produce spatially explicit actual evapotranspiration (ETa) with remotely sensed and weather data. The temperature difference (&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;/span&gt;&lt;span&gt;) in the model is a predefined parameter quantifying the difference between surface temperature at bare soil and air temperature at canopy level. Because&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;/span&gt;&lt;span&gt;&amp;nbsp;is derived from the average-sky net radiation based primarily on climate data, validation of the&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;/span&gt;&lt;span&gt;&amp;nbsp;estimation is critical for assuring a high-quality ETa product. We used the Moderate Resolution Imaging Spectroradiometer (MODIS) data to evaluate the SSEBop&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;/span&gt;&lt;span&gt;&amp;nbsp;estimation for the conterminous United States. MODIS data (2008–2017) were processed to compute the 10-year average land surface temperature (LST) and normalized difference vegetation index (NDVI) at 1 km resolution and 8-day interval. The observed&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;/span&gt;&lt;span&gt;&amp;nbsp;(&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;sub&gt;o&lt;/sub&gt;&lt;/span&gt;&lt;span&gt;) was computed from the LST difference between hot (NDVI &amp;lt; 0.25) and cold (NDVI &amp;gt; 0.7) pixels within each 2° × 2° sampling block. There were enough hot and cold pixels within each block to create&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;sub&gt;o&lt;/sub&gt;&lt;/span&gt;&lt;span&gt;&amp;nbsp;timeseries in the West Coast and South-Central regions. The comparison of&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;sub&gt;o&lt;/sub&gt;&lt;/span&gt;&lt;span&gt;&amp;nbsp;and modeled&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;/span&gt;&lt;span&gt;&amp;nbsp;(&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;sub&gt;m&lt;/sub&gt;&lt;/span&gt;&lt;span&gt;) showed high agreement, with a bias of 0.8 K and a correlation coefficient of 0.88 on average. This study concludes that the&amp;nbsp;&lt;/span&gt;&lt;span class="html-italic"&gt;dT&lt;sub&gt;m&lt;/sub&gt;&lt;/span&gt;&lt;span&gt;&amp;nbsp;estimation from the SSEBop model is reliable, which further assures the accuracy of the ETa estimation.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3390/rs11161947</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>MDPI</dc:publisher>
  <dc:title>Evaluating the temperature difference parameter in the SSEBop model with satellite observed land surface temperature data</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>