@article{fdi:010069397,
  title = {{C}omparison of the spatiotemporal variability of rainfall from four different interpolation methods and impact on the result of {GR}2{M} hydrological modeling-case of {B}ani {R}iver in {M}ali, {W}est {A}frica},
  author = {{L}ouvet, {S}. and {P}aturel, {J}ean-{E}mmanuel and {M}ah{\'e}, {G}il and {R}ouch{\'e}, {N}athalie and {K}oite, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he climatic evolution of the {B}ani river watershed, the main tributary to the upper {N}iger {R}iver, is approached through the spatiotemporal variability of rainfall grids over the 1950-2006 period. {T}he analyses are conducted, and their results compared, using four different methods of spatial interpolation of rainfall fields: the spline, kriging, weighted inverse distance, and nearest neighbor methods. {T}he largest changes are observed for all of these grids, but differences-and in some cases divergent results-appear in the details. {T}he analysis shows a substantial decline in rainfall, particularly marked in the center of the basin, during the 1970-2000 period with respect to the 1950-1969 period, and a slight upturn in the northern part, mainly since the beginning of the 1990s. {T}he rainfall deficit can be attributed to a combination of factors: an earlier and drier end of the rainy season, less precipitation in the middle of the rainy season, more dry days and lower amounts of precipitation on rainy days. {T}wo drought indices-the {E}ffective {D}rought {I}ndex and {S}tandardized {P}recipitation {I}ndex-revealed that the maximum duration of drought events increased most in the central part of the basin. {L}astly, to supplement this comparison of methods of spatial interpolation of rainfall fields, the sensitivity of a hydrological model ({GR}2{M}) to rainfall data was tested. {G}iven the distribution and density of rain gauge stations available in the {B}ani watershed, the kriging method is found to yield the best hydrological modeling performance.},
  keywords = {{MALI} ; {BANI} {BASSIN} {VERSANT}},
  booktitle = {},
  journal = {{T}heoretical and {A}pplied {C}limatology},
  volume = {123},
  numero = {1-2},
  pages = {303--319},
  ISSN = {0177-798{X}},
  year = {2016},
  DOI = {10.1007/s00704-014-1357-y},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069397},
}