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      <source-app name="Horizon">Horizon</source-app>
      <rec-number>1</rec-number>
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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Cantoni, E.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Tramblay, Yves</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Grimaldi, S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Salamon, P.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Dakhlaoui, H.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Dezetter, Alain</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Thiemig, V.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models</title>
        <secondary-title>Journal of Hydrology : Regional Studies</secondary-title>
      </titles>
      <pages>101169 [15 p.]</pages>
      <keywords>
        <keyword>Floods</keyword>
        <keyword>Tunisia</keyword>
        <keyword>LISFLOOD</keyword>
        <keyword>EFAS</keyword>
        <keyword>GR4J</keyword>
        <keyword>ERA5</keyword>
        <keyword>TUNISIE</keyword>
      </keywords>
      <dates>
        <year>2022</year>
      </dates>
      <call-num>fdi:010085962</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Journal of Hydrology : Regional Studies</full-title>
      </periodical>
      <accession-num>ISI:000841020500001</accession-num>
      <electronic-resource-num>10.1016/j.ejrh.2022.101169</electronic-resource-num>
      <urls>
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          <url>https://www.documentation.ird.fr/hor/fdi:010085962</url>
        </related-urls>
        <pdf-urls>
          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-09/010085962.pdf</url>
        </pdf-urls>
      </urls>
      <volume>42</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Study region: This study is focused on 6 catchments in Tunisia, in North Africa, under a semi-arid climate where daily river discharge and precipitation observations are available between 1992 and 2006.Study focus: The distributed hydrological model LISFLOOD has been compared with a lumped model, GR4J, to reproduce river runoff and floods, using observed rainfall interpolated from rain gauges and from the ERA5 reanalysis.New hydrological insights for the region under study: LISFLOOD and GR4J with their default pa-rameters have little skill in Tunisia, but when calibrated, both hydrological models provide similar performance to reproduce river discharge,with a mean KGE of 0.65 for GR4J driven by observed rainfall, and 0.59 with ERA5, and similarly a mean KGE of 0.59 for LISFLOOD driven by observed rainfall and 0.48 with ERA5. All model simulations perform very similarly using either observed rainfall data from rain gauges inter-polated over the basins or ERA5 rainfall, indicating its value as an alternative to observations in data-scarce areas such as Tunisia. The development of regional databases of river discharge ob-servations in North Africa could allow the calibration of such hydrological models on a larger scale for operational flood modeling and forecasting.</abstract>
      <custom6>062 ; 020</custom6>
      <custom1>UR050</custom1>
      <custom7>Tunisie</custom7>
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