@article{fdi:010085962, title = {{H}ydrological performance of the {ERA}5 reanalysis for flood modeling in {T}unisia with the {LISFLOOD} and {GR}4{J} models}, author = {{C}antoni, {E}. and {T}ramblay, {Y}ves and {G}rimaldi, {S}. and {S}alamon, {P}. and {D}akhlaoui, {H}. and {D}ezetter, {A}lain and {T}hiemig, {V}.}, editor = {}, language = {{ENG}}, abstract = {{S}tudy region: {T}his study is focused on 6 catchments in {T}unisia, in {N}orth {A}frica, under a semi-arid climate where daily river discharge and precipitation observations are available between 1992 and 2006.{S}tudy focus: {T}he distributed hydrological model {LISFLOOD} has been compared with a lumped model, {GR}4{J}, to reproduce river runoff and floods, using observed rainfall interpolated from rain gauges and from the {ERA}5 reanalysis.{N}ew hydrological insights for the region under study: {LISFLOOD} and {GR}4{J} with their default pa-rameters have little skill in {T}unisia, but when calibrated, both hydrological models provide similar performance to reproduce river discharge,with a mean {KGE} of 0.65 for {GR}4{J} driven by observed rainfall, and 0.59 with {ERA}5, and similarly a mean {KGE} of 0.59 for {LISFLOOD} driven by observed rainfall and 0.48 with {ERA}5. {A}ll model simulations perform very similarly using either observed rainfall data from rain gauges inter-polated over the basins or {ERA}5 rainfall, indicating its value as an alternative to observations in data-scarce areas such as {T}unisia. {T}he development of regional databases of river discharge ob-servations in {N}orth {A}frica could allow the calibration of such hydrological models on a larger scale for operational flood modeling and forecasting.}, keywords = {{F}loods ; {T}unisia ; {LISFLOOD} ; {EFAS} ; {GR}4{J} ; {ERA}5 ; {TUNISIE}}, booktitle = {}, journal = {{J}ournal of {H}ydrology : {R}egional {S}tudies}, volume = {42}, numero = {}, pages = {101169 [15 p.]}, year = {2022}, DOI = {10.1016/j.ejrh.2022.101169}, URL = {https://www.documentation.ird.fr/hor/fdi:010085962}, }