@article{fdi:010092005,
  title = {{C}omparison of calibration strategies for daily streamflow simulations in semi-arid basins},
  author = {{N}aceur, {K}. {A}. and {E}l {K}halki, {E}. and {H}adri, {A}. and {J}affar, {O}. and {B}rocca, {L}. and {S}aidi, {M}. {E}. and {T}ramblay, {Y}ves and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{H}ydrological modeling is a crucial tool for water resources management. {I}t becomes more important in data-scarce regions like {M}orocco. {T}herefore, accurate parameter tuning of models used in this region is vital for reliable predictions. {T}raditionally, the {N}elder-{M}ead {S}implex {A}lgorithm has been used to calibrate the {GR}4{J} and {MISD}c models. {H}owever, this study aims to enhance the calibration process by employing {P}article {S}warm {O}ptimization ({PSO}), {N}elder-{M}ead {S}implex {A}lgorithm ({FMIN}), {S}imulated {A}nnealing ({SA}), and {G}enetic {A}lgorithm ({GA}) for daily streamflow forecasts across 26 basins. {A} sensitivity analysis of their parameters was performed, along with the use of various calibration scenarios. {I}n addition, a snow module was used in the mountainous basins. {T}he research reveals significant sensitivity of the {GR}4{J} groundwater exchange coefficient and {MISD}c parameters related to soil, drainage, and snow dynamics. {FMIN} and {PSO} proved to be the most efficient, and the {MISD}c model outperformed {GR}4{J}. {T}he choice of splitting scenario proved critical, and the lower model performance was attributed to discrepancies between calibration and validation periods in terms of runoff coefficients, precipitation-runoff correlations, and the distribution of dry and wet years. {I}ntegrating a snow module in both models enhanced their performance in larger basins.},
  keywords = {{H}ydrological {M}odeling ; {M}orocco ; {GR}4{J} ; {MISD}c ; {O}ptimization {A}lgorithms ; {P}arameter {S}ensitivity ; {MAROC} ; {ZONE} {SEMIARIDE}},
  booktitle = {},
  journal = {{W}ater {R}esources {M}anagement},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[17 p.]},
  ISSN = {0920-4741},
  year = {2024},
  DOI = {10.1007/s11269-024-04007-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092005},
}