@article{PAR00007383,
  title = {{U}sing coarse remote sensing radar observations to control the trajectory of a simple {S}ahelian land suiface model},
  author = {{J}arlan, {L}ionel and {M}ougin, {E}ric and {M}azzega, {P}. and {S}choenauer, {M}. and {T}racol, {Y}. and {H}iernaux, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the {S}ahel, land surface processes are significantly interacting with climate dynamics. {I}n this paper, we present an original method to control a simple {S}ahelian land surface model coupled to a radiative transfer model ({RTM}) on the basis of {ERS} wind scatterometer ({WSC}) observations. {I}n a first step, a sensitivity study is implemented to identify those parameters of the land surface model that can be estimated through the assimilation of {WSC} data. {T}he assimilation scheme relies on evolution strategies ({ES}) algorithm that aims at solving the parameter evaluation problem. {T}hese algorithms are particularly well suited for complex (nonlinear) inverse problems. {T}he assimilation scheme is applied to several study sites located in the {S}ahelian mesoscale site of the {A}frican {M}onsoon {M}ultidisciplinary {A}nalysis {P}roject ({G}ourma region, {M}ali). {T}he results are compared with ground observations of herbaceous mass. {A}fter the {WSC} data assimilation, the simulated herbaceous mass curves compare well with observations [187 kilogram of dry matter per hectare (kg {DM}/ha) of average error]. {T}he simulated water fluxes exhibit a behaviour in agreement with ground measurements performed over similar ecosystems during the {H}apex {S}ahel experiment. {T}he accuracy of estimated herbaceous mass and water fluxes resulting from uncertainties on climatic forcing variable is evaluated using a stochastic approach. {T}he average error on the herbaceous mass values mainly depends on the rainfall estimate accuracy and ranges from 139 to 268 kg {DM}/ha that compares well with a previous study based on the sole inversion of the radiative transfer model. {F}inally, this study underlines the need for a multispectral assimilation approach to get a better constraint on water fluxes estimation. {D} 2004 {E}lsevier {I}nc. {A}ll rights reserved.},
  keywords = {{W}ind scatterometer ; {S}ahel ; {D}ata assimilation ; {R}adiative transfer modelling ; {V}egetation functioning model ; {P}arameter identification ; {E}volution strategies ; {AFRIQUE} {SUBSAHARIENNE} ; {SAHEL}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {94},
  numero = {2},
  pages = {269--285},
  year = {2005},
  DOI = {10.1016/j.rse.2004.10.005},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00007383},
}