@article{fdi:010048240,
  title = {{C}ombining scintillometer measurements and an aggregation scheme to estimate area-averaged latent heat flux during the {AMMA} experiment},
  author = {{E}zzahar, {J}. and {C}hehbouni, {A}bdelghani and {H}oedjes, {J}ohannes and {R}amier, {D}avid and {B}oulain, {N}icolas and {B}oubkraoui, {S}t{\'e}phane and {C}appelaere, {B}ernard and {D}escroix, {L}uc and {M}ougenot, {B}ernard and {T}imouk, {F}ranck},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper deals with the issue of using scintillometry in conjunction with a simple aggregation scheme to derive area-averaged sensible and latent heat fluxes over a small watershed in {N}iamey, {N}iger ({W}ankama catchment). {D}ata collected in the context of the {A}frican {M}onsoon {M}ultidisciplinary {A}nalysis ({AMMA}) program has been used to test the proposed approach. {F}or this purpose, a {L}arge {A}perture {S}cintillometer ({LAS}) was set up over heterogeneous surface transect of about 3.2 km spanning three vegetation types. {T}he comparison between scintillometer-based estimates of area-averaged sensible heat fluxes and those measured by a network of the classical eddy covariance ({EC}) devices showed good agreement. with a relative error of about 20% ({R}-2 = 0.85, {RMSD} = 22 {W} m(-2), and {SEE} = 21.39 {W} m(-2)). {T}his is a good result considering the contrast in terms of the footprint scales associated with the two devices, which is amplified by the heterogeneity of the catchment. {T}he results also showed that using the {LAS}-derived values of area-average sensible heat flux in conjunction with a simple aggregation rule to estimate area-average available energy led to a reasonable prediction of area-averaged latent heat flux ({R}-2 = 0.75, {RMSD} = 64 {W} m(-2) and {SEE} = 50 {W} m(-2)), when compared to those measured using the {EC} network. {T}his is of interest since the {LAS} can potentially be used to validate estimates of surface fluxes, based on the meso-scale model, as well as those estimated using coarse-scale remote sensing-based algorithm.},
  keywords = {{S}cintillometry ; {E}ddy covariance ; {R}egional surfaces fluxes ; {N}on-uniform and heterogeneous surfaces ; {A}ggregation schemes},
  booktitle = {},
  journal = {{J}ournal of {H}ydrology},
  volume = {375},
  numero = {1-2},
  pages = {217--226},
  ISSN = {0022-1694},
  year = {2009},
  DOI = {10.1016/j.jhydrol.2009.01.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048240},
}