@article{fdi:010064692,
  title = {{P}otential of satellite rainfall products to predict {N}iger {R}iver flood events in {N}iamey},
  author = {{C}asse, {C}. and {G}osset, {M}arielle and {P}eugeot, {C}hristophe and {P}edinotti, {V}. and {B}oone, {A}. and {T}animoun, {B}. {A}. and {D}echarme, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} dramatic increase in the frequency and intensity of flood events in the city of {N}iamey, {N}iger, has been observed in the last decade. {T}he {N}iger {R}iver exhibits a double outflow peak in {N}iamey. {T}he first peak, is due to the rainfall occurring within about 500 km of {N}iamey. {I}t has reached high values in recent years and caused four drastic flood events since 2000. {T}his paper analyses the potential of satellite rainfall products combined with hydrological modelling to monitor these floods. {T}he study focuses on the 125,000 km(2) area in the vicinity of {N}iamey, where local runoff supplies the first flood. {S}ix rainfall products are tested : a gauge only product the {C}limate {P}rediction {C}entre ({CPC}); two gauge adjusted satellite products the {T}ropical {R}ainfall {M}easurement {M}ission ({TRMM}) {M}ulti-{P}latform {A}nalysis ({TMPA} 3{B}42v7) and the {CPC} regional product {A}frican {R}ainfall {E}stimate ({RFE} version 2); and three satellite only products, 3{B}42{RT}, the {CPC} {M}orphing method ({CMORPH}) and the {P}recipitation {E}stimation from {R}emotely {S}ensed {I}nformation using {A}rtificial {N}eural {N}etwork ({PERSIANN}). {T}he products are first inter-compared over the region of interest. {D}ifferences in terms of rainfall amount, number of rainy days, spacial extension of the rainfall events and frequency distribution of the rain rates are highlighted. {T}he satellite only products provide more rain than the gauge adjusted ones. {T}he hydrological model {ISBA}-{TRIP} is forced with the six products and the simulated discharge is analysed and compared {W}ith the discharge observed in {N}iamey over the period 2000 to 2013. {T}he simulations based on the satellite only rainfall produce an excess in the discharge. {F}or flood prediction, the problem can be overcome by a prior adjustment of the products - as done here with probability matching - or by analysing the simulated discharge in terms of percentile or anomaly. {A}ll tested products exhibit some skills in detecting the relatively heavy rainfall that preceded the flood and in predicting that the 95th percentile of the discharge (i.e., the flood alert level in {N}iamey) will be exceeded. {T}hese skills are however variable among products and the best overall results are obtained with the {TMPA} 3{B}42 products.},
  keywords = {{F}loods ; {S}atellite rainfall estimates ; {S}ahel ; {N}iger {R}iver ; {H}ydrological modelling ; {T}ropical hydrology ; {NIGER} ; {NIAMEY} ; {SAHEL} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{A}tmospheric {R}esearch},
  volume = {163},
  numero = {{SI}},
  pages = {162--176},
  ISSN = {0169-8095},
  year = {2015},
  DOI = {10.1016/j.atmosres.2015.01.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064692},
}