@article{fdi:010088212,
  title = {{E}valuation of rainfall products in semi-arid areas : application to the {S}outheast of the {R}epublic of {D}jibouti and a focus on the {A}mbouli catchment},
  author = {{O}mar, {G}. {M}. and {P}aturel, {J}ean-{E}mmanuel and {S}alles, {C}. and {M}ah{\'e}, {G}il and {J}alludin, {M}. and {S}atg{\'e}, {F}r{\'e}d{\'e}ric and {N}our, {M}. {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {R}epublic of {D}jibouti is a small country in the {H}orn of {A}frica and, as in most developing countries, rain gauges are sparse and data are scarce. {T}his study aims to report on the reliability of gridded precipitation datasets ({P} datasets) across the {R}epublic of {D}jibouti through direct comparisons with rain gauge measurements from the annual to the daily time scales. {O}ur specific objective is to be able to use such products in the context of hydrological modeling at a daily time step. {G}iven the scarcity of available data in the {R}epublic of {D}jibouti, our study was carried out on two time windows (1980-1990 and 2008-2013) and two gauge networks with different spatial resolutions: the southeast of the {R}epublic of {D}jibouti (5000 km(2)) and the {A}mbouli catchment (794 km(2)), which drains the city of {D}jibouti. {T}he reliability of these products is analyzed with quantitative metrics and categorical metrics, exclusively at a daily time step for the latter. {T}he performance of the {P} datasets degrades from the annual time scale to the daily time scale. {E}ven though the same products exhibit the best performance at the various time scales, the performance of most of the products differs from one spatial scale to another. {O}ur results demonstrate the importance of the temporal and spatial windows, as the same products can perform differently according to the scale. {F}or all the spatiotemporal scales, the most reliable product is {MSWEP} v.2.2. {T}his {P} dataset is derived from a combination of satellite products (multiple sensors such as infrared and passive microwave), reanalysis products, and rain gauge observations. {A} strong discrepancy between rain gauge observations and {P} datasets is revealed according to the categorical metric at a daily time step. {T}he analysis of rainfall events triggering runoff, using a 10 mm rainfall threshold, showed that the most efficient products were unable to accurately detect such events at a daily time step, with a significant underestimation of rainfall events higher than 10 mm. {N}one of these products, even the most reliable, can be used for a calibration/validation of a hydrological model at a daily time step.},
  keywords = {{D}jibouti ; rainfall ; precipitation datasets ; categorical metrics ; quantitative metrics ; reliability ; rain gauges ; {ZONE} {SEMIARIDE} ; {DJIBOUTI} },
  booktitle = {},
  journal = {{W}ater},
  volume = {15},
  numero = {12},
  pages = {2168 [22 p.]},
  year = {2023},
  DOI = {10.3390/w15122168},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088212},
}