@article{fdi:010068165,
  title = {{A} combination of {DISPATCH} downscaling algorithm with {CLASS} land surface scheme for soil moisture estimation at fine scale during cloudy days},
  author = {{D}jamai, {N}. and {M}agagi, {R}. and {G}oita, {K}. and {M}erlin, {O}livier and {K}err, {Y}. and {R}oy, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he main objective of this study is to propose and evaluate a new approach to overcome the major limitation of downscaling methods based on optical/thermal data, particularly the {D}l{S}aggregation based on {P}hysical {A}nd {T}heoretical scale {C}hange ({DISPATCH}) algorithm. {D}ata collected over an agricultural site located in {W}innipeg ({M}anitoba, {C}anada) during the {SMAP} {V}alidation {E}xperiments 2012 ({SMAPVEXI}2) field campaign were used. {A}t this site, {SMOS} soil moisture estimates showed a relatively good correlation for both {AM} and {PM} overpasses ({R} >= 0.67), but with a significant underestimation (bias approximate to -0.10 m(3)/m(3)), when compared to ground data. {SMOS} soil moisture data also showed a significant sensitivity to rainfall events. {T}he {DISPATCH} algorithm was used to downscale bias-corrected {SMOS} soil moisture data over the study area for the cloud-free days during {SMAPVEXI}2. {C}ompared to ground data, {DISPATCH} performed well, especially with the soil evaporative efficiency ({SEE}) linear model ({R} = 0.81, bias = -0.01 m(3)/m(3), {RMSE} = 0.05 m(3)/m(3)), which slightly outperformed the {SEE} non-linear model ({R} = 0.72, bias = -0.01 m(3)/m(3), {RMSE} = 0.06 m(3)/m(3)). {F}or both models, the accuracy of the downscaling soil moisture is inversely proportional to the absolute value of soil moisture. {F}or cloudy days, a new operational downscaling approach was proposed. {I}t consists of combining the soil moisture simulations of the {C}anadian {L}and {S}urface {S}cheme ({CLASS}) with {DISPATCH}-downscaled soil moisture during cloud-free days in order to provide estimates of temporally continuous series of soil moisture at 1 km resolution. {C}ompared to ground soil moisture data, the results indicated the high potential of our approach to retrieve soil moisture at 1 km resolution during cloudy days ({R} = 0.80, bias = -0.01 m(3)/m(3), {RMSE} = 0.07 m(3)/m(3)).},
  keywords = {{S}oil moisture ; {SMOS} ; {D}ownscaling ; {DISPATCH} ; {CLASS} ; {SMAPVEXI}2 ; {C}loudy and cloud-free days ; {CANADA}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {184},
  numero = {},
  pages = {1--14},
  ISSN = {0034-4257},
  year = {2016},
  DOI = {10.1016/jsse.2016.06.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068165},
}