@article{fdi:010072511,
  title = {{O}bserving actual evapotranspiration from flux tower eddy covariance measurements within a hilly watershed : case study of the {K}amech site, {C}ap {B}on peninsula, {T}unisia},
  author = {{Z}itouna-{C}hebbi, {R}. and {P}revot, {L}. and {C}hakhar, {A}. and {M}arniche-{B}en {A}bdallah, {M}. and {J}acob, {F}r{\'e}d{\'e}ric},
  editor = {},
  language = {{ENG}},
  abstract = {{T}here is a strong need for long term observations of land surface fluxes such as actual evapotranspiration ({ET}a). {E}ddy covariance ({EC}) method is widely used to provide {ET}a measurements, and several gap-filling methods have been proposed to complete inherent missing data. {H}owever, implementing gap-filling methods is questionable for {EC} time series collected within hilly agricultural areas at the watershed extent. {I}ndeed, changes in wind direction induce changes in airflow inclination and footprint, and therefore possibly induce changes in the relationships on which rely gap-filling methods. {T}his study aimed to obtain continuous {ET}a time series by adapting gap-filling methods to the particular conditions abovementioned. {T}he experiment took place within an agricultural watershed in north-eastern {T}unisia. {A} 9.6-m-high {EC} flux tower has been operating close to the watershed center since 2010. {T}he sensible and latent heat fluxes data collected from 2010 to 2013 were quality controlled, and the {RE}ddy{P}roc software was used to fill gaps at the hourly timescale. {A}dapting {RE}ddy{P}roc method consisted of splitting the dataset according to wind direction, which improved the flux data at the hourly timescale, but not at the daily and monthly timescales. {F}inally, complete time series permitted to analyze seasonal and inter-annual variability of {ET}a.},
  keywords = {actual evapotranspiration ; hilly watershed ; eddy covariance ; gap ; filling ; wind direction ; {ORE} {OMERE} ; {T}unisia ; {TUNISIE}},
  booktitle = {},
  journal = {{A}tmosphere},
  volume = {9},
  numero = {2},
  pages = {art. 68 [17 p.]},
  ISSN = {2073-4433},
  year = {2018},
  DOI = {10.3390/atmos9020068},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072511},
}