@article{fdi:010059009,
  title = {{P}luriannual comparisons of satellite-based rainfall products over the {S}ahelian belt for seasonal vegetation modeling},
  author = {{P}ierre, {C}. and {B}ergametti, {G}. and {M}articorena, {B}. and {M}ougin, {E}. and {L}ebel, {T}hierry and {A}li, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}ahel corresponds to the transition from the dry arid desert to wet savannahs, where vegetation exhibits a well-marked seasonal cycle in response to the {W}est {A}frican {M}onsoon. {P}recipitation data sets with high spatial and temporal resolutions are therefore relevant to investigate the dynamics of the {S}ahelian vegetation. {T}hree satellite-based precipitation products ({TRMM}3{B}42, {RFE}2.0, and {CMORPH}) are compared and tested against kriged rain gauge measurements. {T}he objective is to evaluate their capability to retrieve the main precipitation characteristics during the rainy season. {C}omparisons are performed over a 4 year period (2004-2007) at spatial resolutions of 0.25 degrees x 0.25 degrees or 0.5 degrees x 0.5 degrees by looking at sensitive criteria for vegetation: spatial distribution of the rainfall field, precipitation frequency, dry spell distribution, and precipitation amounts. {I}ntercomparisons between satellite data sets are conducted over the {S}ahelian belt (10 degrees {N}-20 degrees {N}; 20 degrees {W}-35 degrees {E}) at a 1-10 day time scale, while comparisons with 10 day kriged rain gauge measurements are performed over a smaller area (10 degrees {N}-17.5 degrees {N}; 17.5 degrees {W}-2.5 degrees {E}). {T}he precipitation spatial distributions are in good agreement between satellite products and with the kriged data. {C}onsidering the daily frequency, the satellite products show a high agreement between them (similar to 80%). {T}he {TRMM}3{B}42 product exhibits the lowest number of rainy days, and {RFE}2.0 exhibits the highest. {T}he {CMORPH} product overestimates rainfall amounts, while {TRMM}3{B}42 and {RFE}2.0 are both in good agreement with the kriged data. {T}he impacts of these distinctive behaviors on simulated vegetation are investigated by comparisons with {MODIS} {LAI}, considering vegetation dynamics and amounts. {T}he studied criteria of precipitation fields appear as a critical issue for {S}ahelian vegetation modeling.},
  keywords = {{AFRIQUE} {SUBSAHARIENNE} ; {ZONE} {SAHELIENNE}},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch. {A}tmospheres},
  volume = {116},
  numero = {},
  pages = {{D}18201},
  ISSN = {0148-0227},
  year = {2011},
  DOI = {10.1029/2011jd016115},
  URL = {https://www.documentation.ird.fr/hor/fdi:010059009},
}