@article{fdi:010095866,
  title = {{H}ydrological evaluation of gridded rainfall products for streamflow simulation in {W}est {A}frica},
  author = {{G}oudiaby, {O}. and {B}odian, {A}. and {D}ezetter, {A}lain and {O}gilvie, {A}ndrew and {D}iouf, {I}. and {N}diaye, {P}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}tudy region: {C}asamance, {G}ambia and {S}enegal rivers basins in {W}est {A}frica {S}tudy focus: {T}he challenges in accessing reliable rainfall and hydrometric gauge data in {A}frica, gridded precipitation products (satellite, reanalysis, and in situ) provide exciting opportunities for hydrological studies. {H}owever, these products are indirect measurements and this requires hydrological validation of these products in relation to ground observations in order to guarantee their relevance and reliability. {T}his study assesses the ability of twenty-three gridded precipitation products to develop monthly ({GR}2{M}) and daily ({GR}4{J}) rainfall-runoff models to simulate streamflows in the {S}enegal, {G}ambia, and {C}asamance river basins. {T}he {K}ling-{G}upta {E}fficiency ({KGE}) and {P}ercentage {B}ias ({PBIAS}) metrics were used to evaluate catchment rainfall and discharge derived from the 23 products against in situ observations of rainfall and streamflow. {N}ew hydrological insights for the region: {M}ulti-source datasets, integrating satellite, reanalysis, and in situ observations, provide better performance for streamflow simulation at both monthly and daily time steps. {A}mong the evaluated products, {IMERGDF} emerges as the most reliable, followed by {MSWEP}, {GPCP}, and {TAMSAT}. {C}onversely, {CPC}, which relies on interpolated ground data, exhibited unexpectedly poor performance. {T}hese findings highlight the remarkable performance of certain datasets including at a daily time step, establishing their ability to simulate runoff in poorly gauged catchments. {I}n the event of inaccessibility or unavailability of observed data, the best products of this study can be used for hydrological applications in {S}enegal's main hydrosystems.},
  keywords = {{G}ridded precipitation ; {H}ydrological models ; {C}asamance {R}iver ; {G}ambia {R}iver ; {S}enegal {R}iver ; {W}est {A}frica ; {AFRIQUE} {DE} {L}'{OUEST} ; {CASAMANCE} {COURS} {D}'{EAU} ; {GAMBIE} {COURS} {D}'{EAU} ; {SENEGAL} {COURS} {D}'{EAU}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrology : {R}egional {S}tudies},
  volume = {62},
  numero = {},
  pages = {102984 [20 p.]},
  year = {2025},
  DOI = {10.1016/j.ejrh.2025.102984},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095866},
}