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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-16-2219-2012</article-id>
<title-group>
<article-title>A new approach to model the spatial and temporal variability of recharge to karst aquifers</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hartmann</surname>
<given-names>A.</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>Lange</surname>
<given-names>J.</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>Weiler</surname>
<given-names>M.</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>Arbel</surname>
<given-names>Y.</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>Greenbaum</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institute of Hydrology, Freiburg University, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Geography and Environmental Studies, University of Haifa, Israel</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Natural Resources and Environmental Management, University of Haifa, Israel</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>16</volume>
<issue>7</issue>
<fpage>2219</fpage>
<lpage>2231</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 A. Hartmann et al.</copyright-statement>
<copyright-year>2012</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/16/2219/2012/hess-16-2219-2012.html">This article is available from https://hess.copernicus.org/articles/16/2219/2012/hess-16-2219-2012.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/16/2219/2012/hess-16-2219-2012.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/16/2219/2012/hess-16-2219-2012.pdf</self-uri>
<abstract>
<p>In karst systems, near-surface dissolution of carbonate rock results in a
high spatial and temporal variability of groundwater recharge. To adequately
represent the dominating recharge processes in hydrological models is still
a challenge, especially in data scarce regions. In this study, we developed a
recharge model that is based on a conceptual model of the epikarst. It
represents epikarst heterogeneity as a set of system property distributions
to produce not only a single recharge time series, but a variety of time
series representing the spatial recharge variability. We tested the new
model with a unique set of spatially distributed flow and tracer
observations in a karstic cave at Mt. Carmel, Israel. We transformed the
spatial variability into statistical variables and apply an iterative
calibration strategy in which more and more data was added to the
calibration. Thereby, we could show that the model is only able to produce
realistic results when the information about the spatial variability of the
observations was included into the model calibration. We could also show
that tracer information improves the model performance if data about the
spatial variability is not included.</p>
</abstract>
<counts><page-count count="13"/></counts>
</article-meta>
</front>
<body/>
<back>
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