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<front>
<journal-meta>
<journal-id journal-id-type="publisher">HESS</journal-id>
<journal-title-group>
<journal-title>Hydrology and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7938</issn>
<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/hess-14-193-2010</article-id>
<title-group>
<article-title>Relating surface backscatter response from TRMM precipitation radar to soil moisture: results over a semi-arid region</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stephen</surname>
<given-names>H.</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>Ahmad</surname>
<given-names>S.</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>Piechota</surname>
<given-names>T. C.</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>Tang</surname>
<given-names>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 Civil and Environmental Engineering, University of Nevada, Las Vegas, NV 89154, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Geosciences, Idaho State University, Pocatello, ID 83209, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>05</day>
<month>02</month>
<year>2010</year>
</pub-date>
<volume>14</volume>
<issue>2</issue>
<fpage>193</fpage>
<lpage>204</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2010 H. Stephen et al.</copyright-statement>
<copyright-year>2010</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://hess.copernicus.org/articles/14/193/2010/hess-14-193-2010.html">This article is available from https://hess.copernicus.org/articles/14/193/2010/hess-14-193-2010.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/14/193/2010/hess-14-193-2010.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/14/193/2010/hess-14-193-2010.pdf</self-uri>
<abstract>
<p>The Tropical Rainfall Measuring Mission (TRMM) carries aboard the
Precipitation Radar (TRMMPR) that measures the backscatter (&amp;sigma;°) of the
surface. &amp;sigma;° is sensitive to surface soil moisture and vegetation
conditions. Due to sparse vegetation in arid and semi-arid regions, TRMMPR
&amp;sigma;° primarily depends on the soil water content. In this study we relate
TRMMPR &amp;sigma;° measurements to soil water content (&lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt;) in the Lower Colorado River
Basin (LCRB). &amp;sigma;° dependence on &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; is studied for different vegetation
greenness values determined through Normalized Difference Vegetation Index
(NDVI). A new model of &amp;sigma;° that couples incidence angle, &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt;, and NDVI is
used to derive parameters and retrieve soil water content. The calibration and
validation of this model are performed using simulated and measured &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt;
data. Simulated &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; is estimated using the Variable Infiltration Capacity (VIC)
model and measured &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; is acquired from ground measuring stations in
Walnut Gulch Experimental Watershed (WGEW).
&lt;br&gt;&lt;br&gt;
&amp;sigma;° model is calibrated using VIC and WGEW &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; data during 1998 and the
calibrated model is used to derive &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; during later years. The temporal
trends of derived &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; are consistent with VIC and WGEW &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; data with
a correlation coefficient (&lt;i&gt;R&lt;/i&gt;) of 0.89 and 0.74, respectively. Derived &lt;i&gt;m&lt;sub&gt;s&lt;/sub&gt;&lt;/i&gt; is
also consistent with the measured precipitation data with &lt;i&gt;R&lt;/i&gt;=0.76. The gridded
VIC data is used to calibrate the model at each grid point in LCRB and spatial
maps of the model parameters are prepared. The model parameters are spatially
coherent with the general regional topography in LCRB. TRMMPR &amp;sigma;° derived
soil moisture maps during May (dry) and August (wet) 1999 are spatially
similar to VIC estimates with correlation 0.67 and 0.76, respectively. This
research provides new insights into Ku-band &amp;sigma;° dependence on soil water
content in the arid regions.</p>
</abstract>
<counts><page-count count="12"/></counts>
</article-meta>
</front>
<body/>
<back>
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