@article{fdi:010086427,
  title = {{C}omparison of high-resolution satellite precipitation products in {S}ub-{S}aharan {M}orocco},
  author = {{R}achdane, {M}. and {E}l {K}halki, {E}. and {S}aidi, {M}. {E}. and {N}ehmadou, {M}. and {A}hbari, {A}. and {T}ramblay, {Y}ves},
  editor = {},
  language = {{ENG}},
  abstract = {{P}recipitation is a crucial source of data in hydrological applications for water resources management. {H}owever, several regions suffer from limited data from a ground measurement network. {R}emotely sensed data may provide a viable alternative for these regions. {T}his study aimed to evaluate six satellite products ({GPM}-{F}, {CHIRPS}, {PERSIANN}-{CCS}-{CDR}, {GPM}-{L}, {GPM}-{E} and {PDIR}-{N}ow), with high spatio-temporal resolution, in the sub-{S}aharan regions of {M}orocco. {P}recipitation observation data from 33 rain-gauge stations were collected and used over the period from {S}eptember 2000 to {A}ugust 2020. {T}he assessment was performed on three temporal scales (daily, monthly and annually) and two spatial scales (pixel and basin scales), using different quantitative and qualitative statistical indices. {T}he results showed that the {GPM}-{F} product performed the best, according to the different evaluation metrics, up to events with 40 mm/day, while the {GPM} near real-time products ({GPM}-{E} and {GPM}-{L}) were better at detecting more intense rainfall events. {A}t the daily time scale, {GPM}-{E} and {GPM}-{L} and, on monthly and annual scales, {CHIRPS} and {PERSIANN}-{CCS}-{CDR}, provided satisfactory precipitation estimates. {M}oreover, the altitude-based analysis revealed a bias increasing from low to high altitudes. {T}he continental and mountainous basins showed the lowest performance compared to the other locations closer to the {A}tlantic {O}cean. {T}he evaluation based on the latitudes of rain gauges showed a decrease of bias towards the most arid zones. {T}hese results provide valuable information in a scarcely gauged and arid region, showing that {GPM}-{F} could be a valuable alternative to rain gauges.},
  keywords = {sub-{S}aharan {M}orocco ; scarce data region ; satellite precipitation ; products ({SPP}s) ; pixel and basin scales ; {MAROC}},
  booktitle = {},
  journal = {{W}ater},
  volume = {14},
  numero = {20},
  pages = {3336 [21 p.]},
  year = {2022},
  DOI = {10.3390/w14203336},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086427},
}