@article{PAR00006131,
  title = {{S}oil moisture modelling of a {SMOS} pixel : interest of using the {PERSIANN} database over the {V}alencia {A}nchor {S}tation},
  author = {{J}uglea, {S}. and {K}err, {Y}ann and {M}ialon, {A}. and {L}opez-{B}aeza, {E}. and {B}raithwaite, {D}. and {H}su, {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the framework of {S}oil {M}oisture and {O}cean {S}alinity ({SMOS}) {C}alibration/{V}alidation ({C}al/{V}al) activities, this study addresses the use of the {PERSIANN}-{CCS}(1)database in hydrological applications to accurately simulate a whole {SMOS} pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50x50 km(2)). {T}he study focuses on the {V}alencia {A}nchor {S}tation ({VAS}) experimental site, in {S}pain, which is one of the main {SMOS} {C}al/{V}al sites in {E}urope. {A} faithful representation of the soil moisture distribution at {SMOS} pixel scale (50x50 km(2)) requires an accurate estimation of the amount and temporal/spatial distribution of precipitation. {T}o quantify the gain of using the comprehensive {PERSIANN} database instead of sparsely distributed rain gauge measurements, comparisons between in situ observations and satellite rainfall data are done both at point and areal scale. {A}n overestimation of the satellite rainfall amounts is observed in most of the cases (about 66%) but the precipitation occurrences are in general retrieved (about 67%). {T}o simulate the high variability in space and time of surface soil moisture, a {S}oil {V}egetation {A}tmosphere {T}ransfer ({SVAT}) model - {ISBA} ({I}nteractions between {S}oil {B}iosphere {A}tmosphere) is used. {T}he interest of using satellite rainfall estimates as well as the influence that the precipitation events can induce on the modelling of the water content in the soil is depicted by a comparison between different soil moisture data. {P}oint-like and spatialized simulated data using rain gauge observations or {PERSIANN} - {CCS} database as well as ground measurements are used. {I}t is shown that a good adequacy is reached in most part of the year, the precipitation differences having less impact upon the simulated soil moisture. {T}he behaviour of simulated surface soil moisture at {SMOS} scale is verified by the use of remote sensing data from the {A}dvanced {M}icrowave {S}canning {R}adiometer on {E}arth observing {S}ystem ({AMSR}-{E}). {W}e show that the {PERSIANN} database provides useful information at temporal and spatial scales in the context of soil moisture retrieval.},
  keywords = {},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {14},
  numero = {8},
  pages = {1509--1525},
  ISSN = {1027-5606},
  year = {2010},
  DOI = {10.5194/hess-14-1509-2010},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00006131},
}