@article{fdi:010074990,
  title = {{W}hat are the dominant features of rainfall leading to realistic large-scale crop yield simulations in {W}est {A}frica ?},
  author = {{B}erg, {A}. and {S}ultan, {B}enjamin and {N}oblet-{D}ucoudre de, {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} large-scale crop model is forced by a range of climate datasets over {W}est {A}frica to test the sensitivity of simulated yields to errors in input rainfall. {T}he model skill, defined as the correlation between observed and simulated yield anomalies over 1968-1990 at the country scale, is used for assessment. {W}e show that there are two essential rainfall features for the model to skillfully simulate interannual yield variability at the country scale: cumulative annual variability and frequency. {A}t such a scale, providing additional information on intraseasonal variability, such as the chronology of rain events, does not improve the model skill. {W}e suggest that such information is relevant at smaller spatial scales but is not spatially consistent enough to impact large-scale yield variability.},
  keywords = {},
  booktitle = {},
  journal = {{G}eophysical {R}esearch {L}etters},
  volume = {37},
  numero = {},
  pages = {art. no {L}05405},
  ISSN = {0094-8276},
  year = {2010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074990},
}