%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Cantoni, E.
%A Tramblay, Yves
%A Grimaldi, S.
%A Salamon, P.
%A Dakhlaoui, H.
%A Dezetter, Alain
%A Thiemig, V.
%T Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models
%D 2022
%L fdi:010085962
%G ENG
%J Journal of Hydrology : Regional Studies
%K Floods ; Tunisia ; LISFLOOD ; EFAS ; GR4J ; ERA5
%K TUNISIE
%M ISI:000841020500001
%P 101169 [15 ]
%R 10.1016/j.ejrh.2022.101169
%U https://www.documentation.ird.fr/hor/fdi:010085962
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-09/010085962.pdf
%V 42
%W Horizon (IRD)
%X 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.
%$ 062 ; 020