@article{fdi:010076179,
  title = {{T}he {SAFRAN} daily gridded precipitation product in {T}unisia (1979-2015)},
  author = {{T}ramblay, {Y}ves and {F}eki, {H}. and {Q}uintana-{S}egui, {P}. and {G}uijarro, {J}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} new high-resolution (5 km) gridded daily precipitation dataset for {T}unisia between 1979 and 2015 is introduced. {T}his product combines 960 rain gauges with the {SAFRAN} analysis to produce the precipitation gridded data. {A} validation approach on two different datasets reveals that the {SAFRAN} analysis outperforms other standard interpolation methods such as {I}nverse {D}istance, {N}earest {N}eighbors, {O}rdinary {K}riging or {R}esidual {K}riging with altitude. {W}hen compared to {EOBS}, a widely used gridded dataset over {E}urope, a strong negative bias in {EOBS} precipitation is found. {H}owever due to the aridity and the low density of rain gauges in south {T}unisia, results in this region must be analyzed with care. {T}he {SAFRAN} product could be useful for various purposes such as climate model evaluation, climate studies, hydrological modelling to support the planning and management of surface water resources in {T}unisia.},
  keywords = {{I}nterpolation ; {P}recipitation ; {SAFRAN} ; {T}unisia ; {TUNISIE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {C}limatology},
  volume = {39},
  numero = {12},
  pages = {5830--5838},
  ISSN = {0899-8418},
  year = {2019},
  DOI = {10.1002/joc.6181},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076179},
}