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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
20/12/2017 |
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Data da última atualização: |
22/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CHOR, T. L.; DIAS, N. L.; ARAUJO, A. C. de; WOLFF, S.; ZAHN, E.; MANZI, A.; TREBS, I.; SÁ, M. O.; TEIXEIRA, P. R.; SÖRGEL, M. |
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Afiliação: |
Tomás L. Chor, UFPR / University of California; Nelson L. Dias, UFPR; ALESSANDRO CARIOCA DE ARAUJO, CPATU; Stefan Wolff, Max Planck Institute for Chemistry; Einara Zahn, UFPR; Antônio Manzi, INPE; Ivonne Trebs, Environmental Research and Innovation (ERIN); Marta O. Sá, INPA; Paulo R. Teixeira, INPA; Matthias Sörgel, Max Planck Institute for Chemistry. |
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Título: |
Flux-variance and flux-gradient relationships in the roughnesssublayer over the Amazon forest. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 239, p. 213-222, May 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
The failure of the Monin?Obukhov Similarity Theory (MOST) in the roughness sublayer is a major prob-lem for the estimation of fluxes over tall forests, whenever indirect methods that rely on MOST, suchas flux-gradient or the variance method, are involved. While much research focuses on micrometeoro-logical measurements over temperate-climate forests, very few studies deal with such measurementsover tropical forests. In this paper, we show evidence that some similarity functions over the Amazonforest are somewhat different from temperate forests. Comparison of the nondimensional scalar gradi-ents canonical values for the inertial sublayer with our measurements in the roughness sublayer showedsmaller deviations than what is usually reported for temperate forests. Although the fluxes of watervapor and CO2derived from mean profiles show considerable scatter when compared with the eddycovariance measurements, using calibrated dimensionless gradients it is possible to estimate their meandaily cycle during the period of measurement (36 days in May and June, transition between rainy anddry season). Moreover, since mean ozone profiles were available, although without the correspondingeddy 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 −0.45μgm−2s−1 (−1.04 and −9.37nmolm−2s−1, respectively). These values are comparable to previously measured fluxes in the literature for the Amazonforest. MenosThe failure of the Monin?Obukhov Similarity Theory (MOST) in the roughness sublayer is a major prob-lem for the estimation of fluxes over tall forests, whenever indirect methods that rely on MOST, suchas flux-gradient or the variance method, are involved. While much research focuses on micrometeoro-logical measurements over temperate-climate forests, very few studies deal with such measurementsover tropical forests. In this paper, we show evidence that some similarity functions over the Amazonforest are somewhat different from temperate forests. Comparison of the nondimensional scalar gradi-ents canonical values for the inertial sublayer with our measurements in the roughness sublayer showedsmaller deviations than what is usually reported for temperate forests. Although the fluxes of watervapor and CO2derived from mean profiles show considerable scatter when compared with the eddycovariance measurements, using calibrated dimensionless gradients it is possible to estimate their meandaily cycle during the period of measurement (36 days in May and June, transition between rainy anddry season). Moreover, since mean ozone profiles were available, although without the correspondingeddy 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 −0.45μgm−2s−1 (−1.04 and −9.37nmolm−2s−1, respectively). These values are comparable to previous... Mostrar Tudo |
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Palavras-Chave: |
Subcamada de rugosidade. |
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Thesagro: |
Floresta. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02303naa a2200265 a 4500
001 2083084
005 2021-12-22
008 2017 bl uuuu u00u1 u #d
100 1 $aCHOR, T. L.
245 $aFlux-variance and flux-gradient relationships in the roughnesssublayer over the Amazon forest.$h[electronic resource]
260 $c2017
520 $aThe failure of the Monin?Obukhov Similarity Theory (MOST) in the roughness sublayer is a major prob-lem for the estimation of fluxes over tall forests, whenever indirect methods that rely on MOST, suchas flux-gradient or the variance method, are involved. While much research focuses on micrometeoro-logical measurements over temperate-climate forests, very few studies deal with such measurementsover tropical forests. In this paper, we show evidence that some similarity functions over the Amazonforest are somewhat different from temperate forests. Comparison of the nondimensional scalar gradi-ents canonical values for the inertial sublayer with our measurements in the roughness sublayer showedsmaller deviations than what is usually reported for temperate forests. Although the fluxes of watervapor and CO2derived from mean profiles show considerable scatter when compared with the eddycovariance measurements, using calibrated dimensionless gradients it is possible to estimate their meandaily cycle during the period of measurement (36 days in May and June, transition between rainy anddry season). Moreover, since mean ozone profiles were available, although without the correspondingeddy 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 −0.45μgm−2s−1 (−1.04 and −9.37nmolm−2s−1, respectively). These values are comparable to previously measured fluxes in the literature for the Amazonforest.
650 $aAmazonia
650 $aFloresta
653 $aSubcamada de rugosidade
700 1 $aDIAS, N. L.
700 1 $aARAUJO, A. C. de
700 1 $aWOLFF, S.
700 1 $aZAHN, E.
700 1 $aMANZI, A.
700 1 $aTREBS, I.
700 1 $aSÁ, M. O.
700 1 $aTEIXEIRA, P. R.
700 1 $aSÖRGEL, M.
773 $tAgricultural and Forest Meteorology$gv. 239, p. 213-222, May 2017.
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