@article{fdi:010048484,
  title = {{E}valuation of the {S}nowmelt {R}unoff {M}odel in the {M}oroccan {H}igh {A}tlas mountains using two snow-cover estimates},
  author = {{B}oudhar, {A}. and {H}anich, {L}. and {B}oulet, {G}illes and {D}uchemin, {B}eno{\^i}t and {B}erjamy, {B}. and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the centre of {M}orocco, the {H}igh {A}tlas mountain range represents the most important water storage for the neighbouring arid plains through liquid and solid precipitation. {I}n this context, we evaluated the performance of the {S}nowmelt {R}unoff {M}odel ({SRM}) on the five main tributary watersheds of the {H}igh {A}tlas range. {D}ue to the very low density of climate stations in the {H}igh {A}tlas, snowfall and snowmelt processes are difficult to monitor using meteorological data alone. {I}n order to compensate for the lack of in situ data, snow maps are also derived from remotely-sensed data. {W}e compared the streamflow forecasting performance when the model is driven by one or the other estimate of snow-covered area. {B}oth estimates are generally comparable in all watersheds, and satisfactory streamflow simulations were obtained at seasonal time scales using both snow-cover products. {H}owever, significant differences can be observed for selected storms, with more accurate streamflow predictions being obtained when the remotely-sensed data are used.},
  keywords = {snow mapping ; {SPOT}-{VEGETATION} ; snowmelt runoff modelling ; {H}igh {A}tlas {M}ountains, {M}orocco},
  booktitle = {},
  journal = {{H}ydrological {S}ciences {J}ournal - {J}ournal des {S}ciences {H}ydrologiques},
  volume = {54},
  numero = {6},
  pages = {1094--1113},
  ISSN = {0262-6667},
  year = {2009},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048484},
}