@article{fdi:010091442,
  title = {{A}ssessment of satellite rainfall products for stream flow simulation in {G}ambia watershed},
  author = {{F}aty, {B}. and {A}li, {A}. and {D}acosta, {H}. and {B}odian, {A}. and {D}iop, {S}. and {D}escroix, {L}uc},
  editor = {},
  language = {{ENG}},
  abstract = {{S}atellite rainfall estimates ({SRE}) with high spatial and temporal resolution and large areal coverage provide a potential alternative source to force hydrological models within regions where ground-based measurements are not readily available.

{T}he {G}ambia {B}asin in {W}est {A}frica provides a good example of a case where the use of satellite precipitation estimates could be beneficial. {T}his study aims to compare three {SRE} over a 12-year periods (1998-2010), before and after their integration into the {GR}4{J} hydrological model

over the {G}ambia {B}asin. {T}he inter -compared products are {C}limate {H}azards {G}roup {I}nfrared {P}recipitation with {S}tations ({CHIRPS}), {P}recipitation {E}stimation from {R}emotely {S}ensed {I}nformation using {A}rtificial {N}eural {N}etworks-{C}limate {D}ata {R}ecord ({PERSIANN}-{CDR}) and {TRMM} 3{B}42v7

({T}ropical {R}ainfall {M}easuring {M}ission). {T}he calibration and validation of the {GR}4{J} model over the {G}ambia basin using a reference rainfall product ({RRP}) pointed out a very good performance. {T}he correlation coefficient between simulated and observed daily discharge is higher

than 0.8 both for calibration and validation. {T}he inter-comparison of {SRE} against {RRP} and using them as forcing data into the calibrated {GR}4{J} hydrological model presented some coherence in the product performance. {PERSIANN}-{CDR} performs better both when comparing

against {RRP} and when used in {GR}4{J}. {T}he low performance of {CHIRPS} is surprising because it is supposed to be a product that includes ground-base station. {T}his result may also indicate that in areas without ground stations, the {CHIRPS} is less accurate than other rainfall products

that are based only on satellite images. {F}inally, a bias correction is applied to the {SRE} using the {RRP}. {T}he bias correction had significantly improved the product performance. {O}n average, the bias fell from 100 to 1.5% compared to the {RRP}, but the impact on the error is less significant.

{W}hen using the corrected {SRE} in the hydrological model, the impact is very significant both on the bias and error. {T}he overall performance of the different biases that corrected {SRE} is comparable.},
  keywords = {{GAMBIE} ; {GAMBIE} {BASSIN}},
  booktitle = {},
  journal = {{A}frican {J}ournal of {E}nvironmental {S}cience and {T}echnology},
  volume = {12},
  numero = {12},
  pages = {501--513},
  ISSN = {1996-0786},
  year = {2018},
  DOI = {10.5897/ajest2018.2551},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091442},
}