@article{fdi:010061147,
  title = {{H}ow satellite rainfall estimate errors may impact rainfed cereal yield simulation in {W}est {A}frica},
  author = {{R}amarohetra, {J}ohanna and {S}ultan, {B}enjamin and {B}aron, {C}. and {G}aiser, {T}. and {G}osset, {M}arielle},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ainfall monitoring via satellite sensors is particularly relevant for the agricultural sector of {W}est {A}frica. {I}ndeed, food shortages in this region are often caused by rainfall deficits and an early access to data available for the entire region can help to provide credible and timely information for better decision making. {T}his study assesses the accuracy of state-of-the-art satellite rainfall retrievals for agriculture applications in two sites in {N}iger and {B}enin. {A}lthough these satellite data are widely used instead of rain gauge data for such applications, we found that, in a crop-modelling framework, their use can introduce large biases in crop yield simulations. {B}iases differ strongly among the four cultivars considered in both sites and are not simple extrapolation of each satellite product cumulative rainfall amount biases. {I}n particular, we found that if an accurate estimation of the annual cumulative rainfall amount is important for yield simulations of pearl millet '{S}ouna 3' and '{S}omno' cultivars in {N}iger, a realistic distribution of rainfall is also very important for predicting pearl millet '{S}omno' and '{HK}' yields in {N}iger as well as maize yields in {B}enin. {O}verall the satellite products tested, 3{B}42v6 appears to be the most suitable satellite product for our specific agricultural application since it minimizes both biases in rainfall distribution and in annual cumulative rainfall amount. {F}or each crop and in both regions, biases in crop yield prediction are the highest when using non-calibrated satellite rainfall products ({PERSIANN}, 3{B}42{RT}, {CMORPH} and {GSMAP}).},
  keywords = {{W}est {A}frica ; {A}griculture ; {R}ainfall ; {S}atellite ; {C}rop yield ; {AFRIQUE} {DE} {L}'{OUEST}},
  booktitle = {},
  journal = {{A}gricultural and {F}orest {M}eteorology},
  volume = {180},
  numero = {},
  pages = {118--131},
  ISSN = {0168-1923},
  year = {2013},
  DOI = {10.1016/j.agrformet.2013.05.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061147},
}