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@Article{ChorDAWZMTSTS:2017:FlFlRe,
               author = "Chor, Thomas L. and Dias, Nelson L. and Ara{\'u}jo, Alessandro 
                         and Wolff, Stefan and Zahn, Einara and Manzi, Ant{\^o}nio Ocimar 
                         and Trebs, Ivonne and S{\'a}, Marta O. and Teixeira, Paulo R. and 
                         S{\"o}rgel, Matthias",
          affiliation = "{Universidade Federal do Paran{\'a} (UFPR)} and {Universidade 
                         Federal do Paran{\'a} (UFPR)} and {Empresa Brasileira de Pesquisa 
                         Agropecu{\'a}ria (EMBRAPA)} and {Max Planck Institute for 
                         Chemistry} and {Universidade Federal do Paran{\'a} (UFPR)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Environmental Research and Innovation (ERIN)} and {Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and {Max Planck 
                         Institute for Chemistry}",
                title = "Flux-variance and flux-gradient relationships in the roughness 
                         sublayer over the Amazon forest",
              journal = "Agricultural and Forest Meteorology",
                 year = "2017",
               volume = "239",
                pages = "213--222",
                month = "May",
             keywords = "ATTO project, Flux-gradient relationships, Roughness sublayer, 
                         Scalar similarity.",
             abstract = "The failure of the MoninObukhov Similarity Theory (MOST) in the 
                         roughness sublayer is a major problem for the estimation of fluxes 
                         over tall forests, whenever indirect methods that rely on MOST, 
                         such as flux-gradient or the variance method, are involved. While 
                         much research focuses on micrometeorological measurements over 
                         temperate-climate forests, very few studies deal with such 
                         measurements over tropical forests. In this paper, we show 
                         evidence that some similarity functions over the Amazon forest are 
                         somewhat different from temperate forests. Comparison of the 
                         nondimensional scalar gradients canonical values for the inertial 
                         sublayer with our measurements in the roughness sublayer showed 
                         smaller deviations than what is usually reported for temperate 
                         forests. Although the fluxes of water vapor and CO2 derived from 
                         mean profiles show considerable scatter when compared with the 
                         eddy covariance measurements, using calibrated dimensionless 
                         gradients it is possible to estimate their mean daily cycle during 
                         the period of measurement (36 days in May and June, transition 
                         between rainy and dry season). Moreover, since mean ozone profiles 
                         were available, although without the corresponding eddy covariance 
                         measurements, mean daily ozone fluxes were calculated with the 
                         flux-gradient method, yielding a nighttime value of \−0.05 
                         and a daily peak of \−0.45 \μg m\−2 
                         s\−1 (\−1.04 and \−9.37 nmol m\−2 
                         s\−1, respectively). These values are comparable to 
                         previously measured fluxes in the literature for the Amazon 
                         forest.",
                  doi = "10.1016/j.agrformet.2017.03.009",
                  url = "http://dx.doi.org/10.1016/j.agrformet.2017.03.009",
                 issn = "0168-1923",
             language = "en",
           targetfile = "chor_flux.pdf",
        urlaccessdate = "04 dez. 2020"
}


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