@article{PAR00008552,
  title = {{V}ariational assimilation of albedo in a snowpack model and reconstruction of the spatial mass-balance distribution of an alpine glacier},
  author = {{D}umont, {M}. and {D}urand, {Y}. and {A}rnaud, {Y}ves and {S}ix, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ccurate knowledge of the spatial distribution of the mass balance of temperate glaciers is essential for a better understanding of the physical processes controlling the mass balance and for the monitoring of water resources. {I}n relation to albedo variations, the shortwave radiation budget is a controlling variable of the surface energy balance of glaciers. {R}emotely sensed albedo observations are here assimilated in a snowpack model to improve the modeling of the spatial distribution of the glacier mass balance. {T}he albedo observations are integrated in the snowpack simulation using a variational data assimilation scheme that modifies the surface grain conditions. {T}he study shows that mesoscale meteorological variables and {MODIS}-derived albedo maps can be used to obtain a good reconstruction of the annual mass balance on {G}lacier de {S}aint-{S}orlin, {F}rench {A}lps, on a 100 m x 100 m grid. {F}ive hydrological years within the 2000-10 decade are tested. {T}he accuracy of the method is estimated from comparison with field measurements. {S}ensitivity to roughness lengths and winter precipitation fields is investigated. {R}esults demonstrate the potential contribution of remote-sensing data and variational data assimilation to further improve the understanding and monitoring of the mass balance of snowpacks and temperate glaciers.},
  keywords = {},
  booktitle = {},
  journal = {{J}ournal of {G}laciology},
  volume = {58},
  numero = {207},
  pages = {151--164},
  ISSN = {0022-1430},
  year = {2012},
  DOI = {10.3189/2012{J}o{G}11{J}163},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00008552},
}