@article{fdi:010090764,
  title = {{S}ensitivity of global hydrological models to potential evapotranspiration estimation methods in the {S}enegal {R}iver {B}asin ({W}est {A}frica)},
  author = {{N}diaye, {P}. {M}. and {B}odian, {A}. and {D}ezetter, {A}lain and {O}gilvie, {A}ndrew and {G}oudiaby, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}tudy region: {S}enegal {R}iver {B}asin in {W}est {A}frica {S}tudy focus: {T}his paper aims to evaluate the sensitivity of global hydrological models to potential evapotranspiration ({PET}) methods in the {S}enegal {R}iver {B}asin. {P}otential evapotranspiration is estimated using 21 methods and its influence on the performance of three {GR} models ({GR}4{J}, {GR}5{J} and {GR}6{J}) is investigated in five catchments. {T}he data used are mean rainfall, discharge and observed and calculated {PET} over the period 1984 - 1995. {PET} is calculated based on observed climate data and those from {NASA} {POWER} reanalysis data. {T}he methodology consists in: (i) comparing the consistency of reanalysis data with respect to the observed {PET}, (ii) assessing the robustness of {GR} models and their sensitivity to different {PET} estimation methods. {T}he evaluation criteria used to assess the performance of the hydrological model are {KGE} and {PBIAS}. {N}ew hydrological insights for the region: {G}ood consistency is obtained between {PET} calculated with observed and reanalysis data. {T}he {GR}4{J} and {GR}5{J} are more efficient to simulate flows in the {S}enegal {R}iver sub-basins. {T}he aerodynamic {PET} methods perform well with the three hydrological models. {H}owever, in this context where data are scarce, temperature methods such as {D}roogers and {A}llen are a good choice for hydrological modeling. {T}he results also show that the {GR} models have the ability to adapt to poorly estimated {PET}.},
  keywords = {{G}lobal {H}ydrological models ; {E}vapotranspiration methods ; {S}ensitivity ; {A}nalysis ; {S}enegal {R}iver {B}asin ; {AFRIQUE} {DE} {L}'{OUEST} ; {SENEGAL} ; {MALI} ; {GUINEE} ; {ZONE} {SOUDANIENNE} ; {ZONE} {SAHELIENNE} ; {ZONE} {GUINEENNE} ; {SENEGAL} {BASSIN}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrology : {R}egional {S}tudies},
  volume = {53},
  numero = {},
  pages = {101823 [16 p.]},
  year = {2024},
  DOI = {10.1016/j.ejrh.2024.101823},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090764},
}