@article{fdi:010094962,
  title = {{H}ydrological variability of large rivers in {W}est {A}frica : gap-filling with {E}arth observations and daily rainfall-runoff modelling},
  author = {{N}diaye, {P}. {M}. and {O}gilvie, {A}ndrew and {B}odian, {A}. and {D}escroix, {L}uc and {L}egay, {T}. and {G}uillet, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {W}est {A}frica, hydrological variability remains poorly understood in many watersheds where observation networks are sparse. {A}fter gap-filling gauge data with remote sensing datasets and daily rainfall-runoff modelling, the hydroclimatic variability in upper catchments of the {G}ambia, {K}oliba{C}orubal, {K}ayanga{G}eba, and {S}enegal rivers is investigated. {CHIRPS} rainfall and {GLEAM} evapotranspiration are used to simulate discharge in 38 sub-basins over 1981-2023 with the {GR}4{J} model. {R}obust performance observed in 34 basins ({KGE} > 0.5) confirms the effectiveness of the approach even at a daily time step in poorly gauged basins. {A} dry period (1981-1993), followed by two distinct wet periods (1994-2007, 2008-2023) are identified using standardized precipitation index ({SPI}), standardized streamflow index ({SSI}) and the non-parametric {M}ann-{K}endall test. {I}ncreased variability in extreme flows and a later peak flood are observed in some basins. {U}nderstanding non-stationarity in {W}est {A}frican basins is essential to support stakeholders in defining adequate river basin development strategies.},
  keywords = {gap-filling ; satellite datasets ; hydrological modelling ; hydrological variability ; {W}est {A}frica ; large rivers ; {GR}4{J} ; {AFRIQUE} {DE} {L}'{OUEST} ; {GAMBIE} ; {GUINEE} ; {GUINEE} {BISSAU} ; {SENEGAL} ; {MAURITANIE} ; {MALI} ; {GAMBIE} {COURS} {D}'{EAU} ; {KAYANGA} {GEBA} {COURS} {D}'{EAU} ; {KOLIBA} {CORUBAL} {COURS} {D}'{EAU} ; {SENEGAL} {COURS} {D}'{EAU} ; {BASSIN} {VERSANT}},
  booktitle = {},
  journal = {{H}ydrological {S}ciences {J}ournal},
  volume = {{E}arly access},
  numero = {},
  pages = {[19 p.]},
  ISSN = {0262-6667},
  year = {2025},
  DOI = {10.1080/02626667.2025.2542477},
  URL = {https://www.documentation.ird.fr/hor/fdi:010094962},
}