@article{PAR00009896,
  title = {{AMMA} {L}and {S}urface {M}odel {I}ntercomparison {E}xperiment coupled to the {C}ommunity {M}icrowave {E}mission {M}odel: {ALMIP}-{MEM}},
  author = {de {R}osnay, {P}. and {D}rusch, {M}. and {B}oone, {A}. and {B}alsamo, {G}. and {D}echarme, {B}. and {H}arris, {P}. and {K}err, {Y}ann and {P}ellarin, {T}. and {P}olcher, {J}. and {W}igneron, {J}. {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper presents the {A}frican {M}onsoon {M}ultidisciplinary {A}nalysis ({AMMA}) {L}and {S}urface {M}odels {I}ntercomparison {P}roject ({ALMIP}) for {M}icrowave {E}mission {M}odels ({ALMIP}-{MEM}). {ALMIP}-{MEM} comprises an ensemble of simulations of {C}-band brightness temperatures over {W}est {A}frica for 2006. {S}imulations have been performed for an incidence angle of 55 degrees, and results are evaluated against {C}-band satellite data from the {A}dvanced {M}icrowave {S}canning {R}adiometer on {E}arth {O}bserving {S}ystem ({AMSR}-{E}). {T}he ensemble encompasses 96 simulations, for 8 {L}and {S}urface {M}odels ({LSM}s) coupled to 12 configurations of the {C}ommunity {M}icrowave {E}mission {M}odel ({CMEM}). {CMEM} has a modular structure which permits combination of several parameterizations with different vegetation opacity and soil dielectric models. {ALMIP}-{MEM} provides the first intercomparison of state-of-theart land surface and microwave emission models at regional scale. {Q}uantitative estimates of the relative importance of land surface modeling and radiative transfer modeling for the monitoring of low-frequency passive microwave emission on land surfaces are obtained. {T}his is of high interest for the various users of coupled land surface microwave emission models. {R}esults show that both {LSM}s and microwave model components strongly influence the simulated top of atmosphere ({TOA}) brightness temperatures. {F}or most of the {LSM}s, the {K}irdyashev opacity model is the most suitable to simulate {TOA} brightness temperature in best agreement with the {AMSR}-{E} data. {W}hen this best microwave modeling configuration is used, all the {LSM}s are able to reproduce the main temporal and spatial variability of measured brightness temperature. {A}veraged among the {LSM}s, correlation is 0.67 and averaged normalized standard deviation is 0.98.},
  keywords = {},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch-{A}tmospheres},
  volume = {114},
  numero = {},
  pages = {{D}05108},
  ISSN = {0148-0227},
  year = {2009},
  DOI = {10.1029/2008jd010724},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00009896},
}