@article{fdi:010049610, title = {{A}ssessment of initial soil moisture conditions for event-based rainfall-runoff modelling}, author = {{T}ramblay, {Y}ves and {B}ouvier, {C}hristophe and {M}artin, {C}. and {D}idon-{L}escot, {J}. {F}. and {T}odorovik, {D}. and {D}omergue, {J}. {M}.}, editor = {}, language = {{ENG}}, abstract = {{F}lash floods are the most destructive natural hazards that occur in the {M}editerranean region. {R}ainfall-runoff models can be very useful for flash flood forecasting and prediction. {E}vent-based models are very popular for operational purposes, but there is a need to reduce the uncertainties related to the initial moisture conditions estimation prior to a flood event. {T}his paper aims to compare several soil moisture indicators: local {T}ime {D}omain {R}eflectometry ({TDR}) measurements of soil moisture, modelled soil moisture through the {I}nteraction-{S}ol-{B}iosphere-{A}tmosphere ({ISBA}) component of the {SIM} model ({M}eteo-{F}rance), antecedent precipitation and base flow. {A} modelling approach based on the {S}oil {C}onservation {S}ervice-{C}urve {N}umber method ({SCS}-{CN}) is used to simulate the flood events in a small headwater catchment in the {C}evennes region ({F}rance). {T}he model involves two parameters: one for the runoff production, {S}. and one for the routing component, {K}. {T}he {S} parameter can be interpreted as the maximal water retention capacity, and acts as the initial condition of the model, depending on the antecedent moisture conditions. {T}he model was calibrated from a 20-flood sample, and led to a median {N}ash value of 0.9. {T}he local {TDR} measurements in the deepest layers of soil (80-140 cm) were found to be the best predictors for the {S} parameter. {TDR} measurements averaged over the whole soil profile, outputs of the {SIM} model, and the logarithm of base flow also proved to be good predictors, whereas antecedent precipitations were found to be less efficient. {T}he good correlations observed between the {TDR} predictors and the {S} calibrated values indicate that monitoring soil moisture could help setting the initial conditions for simplified event-based models in small basins.}, keywords = {{F}lash flood prediction ; {S}oil moisture ; {T}ime {D}omain {R}eflectometry ; {S}oil ; {C}onservation {S}ervice method ; {S}mall {M}editerranean catchment}, booktitle = {}, journal = {{J}ournal of {H}ydrology}, volume = {387}, numero = {3-4}, pages = {176--187}, ISSN = {0022-1694}, year = {2010}, DOI = {10.1016/j.jhydrol.2010.04.006}, URL = {https://www.documentation.ird.fr/hor/fdi:010049610}, }