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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-13-819-2009</article-id>
<title-group>
<article-title>How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Berthet</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Andréassian</surname>
<given-names>V.</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>Perrin</surname>
<given-names>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>Javelle</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Cemagref, Hydrosystems and Bioprocesses Research Unit Antony, France</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>AgroParisTech ENGREF, 19 avenue du Maine, 75732 Paris, France</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Cemagref, Hydrology and Hydraulic Works Research Unit,  Aix-en-Provence, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>18</day>
<month>06</month>
<year>2009</year>
</pub-date>
<volume>13</volume>
<issue>6</issue>
<fpage>819</fpage>
<lpage>831</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2009 L. Berthet et al.</copyright-statement>
<copyright-year>2009</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/13/819/2009/hess-13-819-2009.html">This article is available from https://hess.copernicus.org/articles/13/819/2009/hess-13-819-2009.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/13/819/2009/hess-13-819-2009.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/13/819/2009/hess-13-819-2009.pdf</self-uri>
<abstract>
<p>This paper compares event-based and continuous hydrological modelling approaches
for real-time forecasting of river flows. Both approaches are compared using
a lumped hydrologic model (whose structure includes a soil moisture accounting
(SMA) store and a routing store) on a data set of 178 French catchments. The
main focus of this study was to investigate the actual impact of soil moisture
initial conditions on the performance of flood forecasting models and the
possible compensations with updating techniques. The rainfall-runoff model
assimilation technique we used does not impact the SMA component of the model
but only its routing part. Tests were made by running the SMA store continuously
or on event basis, everything else being equal. The results show that the
continuous approach remains the reference to ensure good forecasting performances.
We show, however, that the possibility to assimilate the last observed flow
considerably reduces the differences in performance. Last, we present a robust
alternative to initialize the SMA store where continuous approaches are
impossible because of data availability problems.</p>
</abstract>
<counts><page-count count="13"/></counts>
</article-meta>
</front>
<body/>
<back>
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