@article{PAR00005879,
  title = {{M}odelling soil moisture at {SMOS} scale by use of a {SVAT} model over the {V}alencia {A}nchor {S}tation},
  author = {{J}uglea, {S}. and {K}err, {Y}ann and {M}ialon, {A}. and {W}igneron, {J}. {P}. and {L}opez-{B}aeza, {E}. and {C}ano, {A}. and {A}lbitar, {A}. and {M}illan-{S}cheiding, {C}. and {A}ntolin, {M}. {C}. and {D}elwart, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he main goal of the {SMOS} ({S}oil {M}oisture and {O}cean {S}alinity) mission is to deliver global fields of surface soil moisture and sea surface salinity using {L}-band (1.4 {GH}z) radiometry. {W}ithin the context of the {S}cience preparation for {SMOS}, the {V}alencia {A}nchor {S}tation ({VAS}) experimental site, in {S}pain, was chosen to be one of the main test sites in {E}urope for {C}alibration/{V}alidation ({C}al/{V}al) activities. {I}n this framework, the paper presents an approach consisting in accurately simulating a whole {SMOS} pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over the wide {VAS} surface (50x50 km(2)). {G}round and meteorological measurements over the area are used as the input of a {S}oil-{V}egetation-{A}tmosphere-{T}ransfer ({SVAT}) model, {SURFEX} ({E}xternalized {S}urface) - module {ISBA} ({I}nteractions between {S}oil-{B}iosphere-{A}tmosphere) to simulate the spatial and temporal distribution of surface soil moisture. {T}he calibration as well as the validation of the {ISBA} model are performed using in situ soil moisture measurements. {I}t is shown that a good consistency is reached when point comparisons between simulated and in situ soil moisture measurements are made. {A}ctually, an important challenge in remote sensing approaches concerns product validation. {I}n order to obtain an representative soil moisture mapping over the {V}alencia {A}nchor {S}tation (50x50 km(2) area), a spatialization method is applied. {F}or verification, a comparison between the simulated spatialized soil moisture and remote sensing data from the {A}dvanced {M}icrowave {S}canning {R}adiometer on {E}arth observing {S}ystem ({AMSR}-{E}) and from the {E}uropean {R}emote {S}ensing {S}atellites ({ERS}-{SCAT}) is performed. {D}espite the fact that {AMSR}-{E} surface soil moisture product is not reproducing accurately the absolute values, it provides trustworthy information on surface soil moisture temporal variability. {H}owever, during the vegetation growing season the signal is perturbed. {B}y using the polarization ratio a better agreement is obtained. {ERS}-{SCAT} soil moisture products are also used to be compared with the simulated spatialized soil moisture. {H}owever, the lack of soil moisture data from the {ERS}-{SCAT} sensor over the area (45 observations for one year) prevented capturing the soil moisture variability.},
  keywords = {},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {14},
  numero = {5},
  pages = {831--846},
  ISSN = {1027-5606},
  year = {2010},
  DOI = {10.5194/hess-14-831-2010},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00005879},
}