@article{fdi:010087532, title = {{E}valuation of an early flood warning system in {B}amako ({M}ali) : lessons learned from the flood of {M}ay 2019}, author = {{C}hahinian, {N}an{\'e}e and {A}lcoba, {M}atias and {D}embele, {N}. {D}. {J}. and {C}azenave, {F}r{\'e}d{\'e}ric and {B}ouvier, {C}hristophe}, editor = {}, language = {{ENG}}, abstract = {{D}evastating floods have plagued many {W}est {A}frican cities in the past decades. {I}n an attempt to reduce flood damage in {B}amako ({M}ali), an early warning system ({EWS}) demonstrator ({R}aincell {A}pp) was developed for flash floods. {O}n 16 {M}ay 2019, while the demonstrator was partially operational, an intense rainfall event led to devastating floods. {W}e carried out an experience feedback on this flood event by comparing {EWS} simulations to the results of a field survey. {G}iven the synoptic situation and the rapid development pattern of the storm, none of the global forecasting systems were able to foresee its occurrence and magnitude. {T}he hydrological model developed as part of the demonstrator correctly identified most of the locations where overbank flow occurred. {I}n the absence of data, the predicted discharge and volume values could not be validated. {H}owever, they are realistic based on the water levels reported in the {P}ost-{D}isaster {N}eeds {A}ssessment report. {I}t would be advisable to couple it to a two-dimensional hydraulic model and add discharge and water level monitoring to the already existing rainfall surveillance scheme to further improve the system's performance. {I}ncreasing the local population's awareness of the dangers of clogged waterways is also mandatory.}, keywords = {early warning systems ; experience feedback ({EF}) ; flash flood ; forecasting and warning ; hydrological modelling ; pluvial flooding ; rainfall estimation ; urban hydrology ; {W}est {A}frica ; {MALI}}, booktitle = {}, journal = {{J}ournal of {F}lood {R}isk {M}anagement}, volume = {[{E}arly access]}, numero = {}, pages = {[18 p.]}, ISSN = {1753-318{X}}, year = {2023}, DOI = {10.1111/jfr3.12878}, URL = {https://www.documentation.ird.fr/hor/fdi:010087532}, }