@article{PAR00007357,
  title = {{J}oint assimilation of surface soil moisture and {LAI} observations into a land surface model},
  author = {{M}uñoz {S}abater, {J}. and {R}üdiger, {C}. and {F}ritz, {N}. and {C}alvet, {J}.{C}. and {J}arlan, {L}ionel and {K}err, {Y}ann},
  editor = {},
  language = {{ENG}},
  abstract = {{L}and {S}urface {M}odels ({LSM}) offer a description of land surface processes and set the lower boundary conditions for meteorological models. {I}n particular, the accurate description of those surface variables which display a slow response in time, like root-zone soil moisture or vegetation biomass, is of great importance. {E}rrors in their estimation yield significant inaccuracies in the estimation of heat and water fluxes in {N}umerical {W}eather {P}rediction ({NWP}) models. {I}n the present study, the {ISBA}-{A}-gs {LSM} is used decoupled from the atmosphere. {I}n this configuration, the model is able to simulate the vegetation growth, and consequently {LAI}. {A} simplified 1{D}-{VAR} assimilation method is applied to observed surface soil moisture and {LAI} observations of the {SMOSREX} site near {T}oulouse, in south-western {F}rance, from 2001 to 2004. {T}his period includes severe droughts in 2003 and 2004. {T}he data are jointly assimilated into {ISBA}-{A}-gs in order to analyse the root-zone soil moisture and the vegetation biomass. {I}t is shown that the 1{D}-{VAR} improves the model results. {T}he efficiency score of the model ({N}ash criterion) is increased from 0.79 to 0.86 for root-zone soil moisture and from 0.17 to 0.23 for vegetation biomass.},
  keywords = {{D}ata assimilation ; {M}odelling ; {S}oil moisture ; {LAI} ; {SMOSREX}},
  booktitle = {},
  journal = {{A}gricultural and {F}orest {M}eteorology},
  volume = {148},
  numero = {8-9},
  pages = {1362--1373},
  year = {2008},
  DOI = {10.1016/j.agrformet.2008.04.003},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00007357},
}