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@ARTICLE{Mobilia:878328,
      author       = {Mobilia, Mirka and Schmidt, Marius and Longobardi, Antonia},
      title        = {{M}odelling {A}ctual {E}vapotranspiration {S}easonal
                      {V}ariability by {M}eteorological {D}ata-{B}ased {M}odels},
      journal      = {Hydrology},
      volume       = {7},
      number       = {3},
      issn         = {2306-5338},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2020-02780},
      pages        = {50 -},
      year         = {2020},
      abstract     = {This study aims at illustrating a methodology for
                      predicting monthly scale actual evapotranspiration losses
                      only based on meteorological data, which mimics the
                      evapotranspiration intra-annual dynamic. For this purpose,
                      micrometeorological data at the Rollesbroich and Bondone
                      mountain sites, which are energy-limited systems, and the
                      Sister site, a water-limited system, have been analyzed.
                      Based on an observed intra-annual transition between dry and
                      wet states governed by a threshold value of net radiation at
                      each site, an approach that couples meteorological
                      data-based potential evapotranspiration and actual
                      evapotranspiration relationships has been proposed and
                      validated against eddy covariance measurements, and further
                      compared to two well-known actual evapotranspiration
                      prediction models, namely the advection-aridity and the
                      antecedent precipitation index models. The threshold
                      approach improves the intra-annual actual evapotranspiration
                      variability prediction, particularly during the wet state
                      periods, and especially concerning the Sister site, where
                      errors are almost four times smaller compared to the basic
                      models. To further improve the prediction within the dry
                      state periods, a calibration of the Priestley-Taylor
                      advection coefficient was necessary. This led to an error
                      reduction of about $80\%$ in the case of the Sister site, of
                      about $30\%$ in the case of Rollesbroich, and close to
                      $60\%$ in the case of Bondone Mountain. For cases with a
                      lack of measured data of net radiation and soil heat fluxes,
                      which are essential for the implementation of the models, an
                      application derived from empirical relationships is
                      discussed. In addition, the study assessed whether this
                      variation from meteorological data worsened the prediction
                      performances of the models.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000580073600001},
      doi          = {10.3390/hydrology7030050},
      url          = {https://juser.fz-juelich.de/record/878328},
}