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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-18-4363-2014</article-id>
<title-group>
<article-title>Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rosolem</surname>
<given-names>R.</given-names>
<ext-link>https://orcid.org/0000-0002-4914-692X</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>Hoar</surname>
<given-names>T.</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>Arellano</surname>
<given-names>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>Anderson</surname>
<given-names>J. L.</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>Shuttleworth</surname>
<given-names>W. J.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zeng</surname>
<given-names>X.</given-names>
<ext-link>https://orcid.org/0000-0001-7352-2764</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Franz</surname>
<given-names>T. E.</given-names>
<ext-link>https://orcid.org/0000-0003-2947-0906</ext-link>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Queens School of Engineering, University of Bristol, Bristol, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>NCAR Data Assimilation Research Section, Boulder, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Atmospheric Sciences, University of Arizona, Tucson, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Department of Hydrology and Water Resources, University of Arizona, Tucson, USA</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>School of Natural Resources, University of Nebraska-Lincoln, Lincoln, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>04</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>18</volume>
<issue>11</issue>
<fpage>4363</fpage>
<lpage>4379</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 R. Rosolem et al.</copyright-statement>
<copyright-year>2014</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/18/4363/2014/hess-18-4363-2014.html">This article is available from https://hess.copernicus.org/articles/18/4363/2014/hess-18-4363-2014.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/18/4363/2014/hess-18-4363-2014.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/18/4363/2014/hess-18-4363-2014.pdf</self-uri>
<abstract>
<p>Above-ground cosmic-ray neutron measurements provide an opportunity to infer
soil moisture at the sub-kilometer scale. Initial efforts to assimilate
those measurements have shown promise. This study expands such analysis by
investigating (1) how the information from aboveground cosmic-ray neutrons
can constrain the soil moisture at distinct depths simulated by a land surface model, and (2) how changes in data availability (in terms of
retrieval frequency) impact the dynamics of simulated soil moisture
profiles. We employ ensemble data assimilation techniques in a
&quot;nearly-identical twin&quot; experiment applied at semi-arid shrubland, rainfed
agricultural field, and mixed forest biomes in the USA. The performance of
the Noah land surface model is compared with and without assimilation of
observations at hourly intervals, as well as every 2 days. Synthetic observations of
aboveground cosmic-ray neutrons better constrain the soil moisture simulated
by Noah in root-zone soil layers (0–100cm), despite the limited measurement
depth of the sensor (estimated to be 12–20cm). The ability of Noah to
reproduce a &quot;true&quot; soil moisture profile is remarkably good, regardless of
the frequency of observations at the semi-arid site. However, soil moisture
profiles are better constrained when assimilating synthetic cosmic-ray
neutron observations hourly rather than every 2 days at the cropland and
mixed forest sites. This indicates potential benefits for
hydrometeorological modeling when soil moisture measurements are available
at a relatively high frequency. Moreover, differences in summertime
meteorological forcing between the semi-arid site and the other two sites
may indicate a possible controlling factor to soil moisture dynamics in
addition to differences in soil and vegetation properties.</p>
</abstract>
<counts><page-count count="17"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Science Foundation</funding-source>
<award-id>ATM-0838491</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Aeronautics and Space Administration</funding-source>
<award-id>NNX09A021G</award-id>
</award-group>
<award-group id="gs3">
<funding-source>National Aeronautics and Space Administration</funding-source>
<award-id>NNX11A110G</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body/>
<back>
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