@article{fdi:010077477,
  title = {{O}n the interest of optical remote sensing for seasonal snowmelt parameterization, applied to the {E}verest region ({N}epal)},
  author = {{B}ouchard, {B}. and {E}eckman, {J}. and {D}edieu, {J}. {P}. and {D}elclaux, {F}ran{\c{c}}ois and {C}hevallier, {P}ierre and {G}ascoin, {S}. and {A}rnaud, {Y}ves},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the central part of the {H}indu {K}ush {H}imalayan region, snowmelt is one of the main inputs that ensures the availability of surface water outside the monsoon period. {A} common approach for snowpack modeling is based on the degree day factor ({DDF}) method to represent the snowmelt rate. {H}owever, the important seasonal variability of the snow processes is usually not represented when using a {DDF} method, which can lead to large uncertainties for snowpack simulation. {T}he {SPOT}-{VGT} and the {MODIS}-{T}erra sensors provide valuable information for snow detection over several years. {T}he aim of this work was to use those data to parametrize the seasonal variability of the snow processes in the hydrological distributed snow model ({HDSM}), based on a {DDF} method. {T}he satellite products were corrected and combined in order to implement a database of 8 day snow cover area ({SCA}) maps over the northern part of the {D}udh {K}oshi watershed ({N}epal) for the period 1998-2017. {A} revisited version of the snow module of the {HDSM} model was implemented so as to split it into two parameterizations depending on the seasonality. {C}orrected 8 day {SCA} maps retrieved from {MODIS}-{T}erra were used to calibrate the seasonal parameterization, through a stochastic method, over the period of study (2013-2016). {T}he results demonstrate that the seasonal parameterization reduces the error in the simulated {SCA} and increases the correlation with the {MODIS} {SCA}. {T}he two-set version of the model improved the yearly {RMSE} from 5.9% to 7.7% depending on the basin, compared to the one-set version. {T}he correlation between the model and {MODIS} passes from 0.73 to 0.79 in winter for the larger basin, {P}hakding. {T}his study shows that the use of a remote sensing product can improve the parameterization of the seasonal dynamics of snow processes in a model based on a {DDF} method.},
  keywords = {optical remote sensing ; snow cover ; mountains ; hydrological modeling ; degree day model ; {NEPAL} ; {EVEREST}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {11},
  numero = {22},
  pages = {2598 [23 ]},
  year = {2019},
  DOI = {10.3390/rs11222598},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077477},
}