@article{fdi:010068273,
  title = {{E}valuation of satellite-based rainfall products for hydrological modelling in {M}orocco},
  author = {{T}ramblay, {Y}ves and {T}hiemig, {V}. and {D}ezetter, {A}lain and {H}anich, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}everal satellite-based precipitation estimates are becoming available at a global scale, providing new possibilities for water resources modelling, particularly in data-sparse regions and developing countries. {T}his work provides a first validation of five different satellite-based precipitation products ({TRMM}-3{B}42 v6 and v7, {RFE} 2.0, {PERSIANN}-{CDR}, {CMORPH}1.0 version 0.x) in the 1785 km(2) {M}akhazine catchment ({M}orocco). {P}recipitation products are first compared against ground observations. {T}en raingauges and four different interpolation methods (inverse distance, nearest neighbour, ordinary kriging and residual kriging with altitude) were used to compute a set of interpolated precipitation reference fields. {S}econd, a parsimonious conceptual hydrological model is considered, with a simulation approach based on the random generation of model parameters drawn from existing parameter set libraries, to compare the different precipitation inputs. {T}he results indicate that (1) all four interpolation methods, except the nearest neighbour approach, give similar and valid precipitation estimates at the catchment scale; (2) among the different satellite-based precipitation estimates verified, the {TRMM}-3{B}42 v7 product is the closest to observed precipitation, and (3) despite poor performance at the daily time step when used in the hydrological model, {TRMM}-3{B}42 v7 estimates are found adequate to reproduce monthly dynamics of discharge in the catchment. {T}he results provide valuable perspectives for water resources modelling of data-scarce catchments with satellite-based rainfall data in this region.},
  keywords = {{R}ainfall-runoff modelling ; satellite-based precipitation ; {TRMM} ; spatial interpolation ; {M}orocco ; water resources modelling ; {MAROC}},
  booktitle = {},
  journal = {{H}ydrological {S}ciences {J}ournal = {J}ournal des {S}ciences {H}ydrologiques},
  volume = {61},
  numero = {14},
  pages = {2509--2519},
  ISSN = {0262-6667},
  year = {2016},
  DOI = {10.1080/02626667.2016.1154149},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068273},
}