@article{fdi:010086985,
  title = {{R}iver runoff estimation with satellite rainfall in {M}orocco},
  author = {{T}ramblay, {Y}ves and {E}l {K}halki, {E}. and {C}iabatta, {L}. and {C}amici, {S}. and {H}anich, {L}. and {S}aidi, {M}. {E}. and {E}zzahouani, {A}. and {B}enaabidate, {L}. and {M}ah{\'e}, {G}il and {B}rocca, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {A}frican countries, the lack of observed rainfall data is a major obstacle for efficient water resources management. {T}he objective of this study is to evaluate satellite rainfall products' ability to estimate river runoff over 12 basins in {M}orocco using four hydrological models: {IHACRES}, {MISD}c, {GR}4{J}, and {CREST}. {S}atellite products available with a short latency are compared: {EUMETSAT} {H} {SAF}, {SM}2{RAIN}-{ASCAT}, and {IMERG}. {T}he best results to reproduce river runoff were obtained with {SM}2{RAIN}-{ASCAT} in combination with the {IHACRES} model, with the highest {K}ling-{G}upta efficiency criterion and probability of detection of extreme runoff. {T}he hydrological model performances differed across catchments and satellite rainfall products, which highlights the need to carefully select hydrological models for a given application. {T}hus, it is advisable to evaluate satellite rainfall products with different types of hydrological models. {T}his first evaluation over {M}oroccan basins suggests that {SM}2{RAIN}-{ASCAT} could be a reliable alternative to observed rainfall for hydrological modelling.},
  keywords = {satellite rainfall ; {M}orocco ; {SM}2{RAIN} ; hydrological models ; {MAROC}},
  booktitle = {},
  journal = {{H}ydrological {S}ciences {J}ournal},
  volume = {68},
  numero = {3},
  pages = {474--487},
  ISSN = {0262-6667},
  year = {2023},
  DOI = {10.1080/02626667.2023.2171295},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086985},
}