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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
23/06/2009 |
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Data da última atualização: |
29/05/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
OLIVEIRA, L. M. T. de; FRANÇA. G. B.; COSTA, T. C. e C. da; ANTUNES, M. A. H.; FRANÇA, J. R. de A. |
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Afiliação: |
Luciana Maria Temponi de Oliveira, IBGE; Gutemberg Borges França, UFRJ; THOMAZ CORREA E CASTRO DA COSTA, CNPMS; Mauro Antonio Homem Antunes, UFRRJ; José Ricardo de Almeida França, UFRJ. |
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Título: |
Estudo da FAPAR em regiões fitoecológicas brasileiras através de série temporal derivada do NDVI/AVHRR. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. |
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Páginas: |
p. 2855-2863. |
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Idioma: |
Português |
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Conteúdo: |
The objective of this work is to study the behavior of Brazilian vegetation throughout time series of Fraction of Photosynthetically Active Radiation (FAPAR) absorbed by a plant canopy derived from vegetation index of the A VHRR sensor; observing the variations of the types of vegetation, influences and relationships with the cIimate. The F AP AR dataset has spatial resolution of 0.1 °xO.1 o and temporal resolution of 10 days for the period 1982 to 1999. The data were investigated considering the seasonal and interannual variations for phytoecological regions of the country. The FAPAR results show: the largest values were observed in Evergreen Broadleaf Forests (Dense and Open) and Campinarana, the lesser amplitude of variation of FAPAR occur in Savanna and Savanna-Steppe, due to adaptation to environmental changes. Analyses of F AP AR demonstrate that ecosystems with ali strata and structured soil have higher values. Even though, the preliminary results confirm that exists evidences ofrelation between the behavior of the FAPAR and weather conditions. The ENSO events have influence on interannual variations of FAPAR, mainly in the North and Northeast. Furthermore, the discussion presents that the FAPAR has potential to be used as an indicator of the photosynthetic process and consequently in the monitoring ofprimary production. |
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Palavras-Chave: |
A VHRR; F AP AR; Phytoecological regions; Regiões fitoecológicas; Tempo. |
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Thesaurus Nal: |
weather. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/60845/1/Estudo-FAPAR.pdf
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Marc: |
LEADER 02144nam a2200241 a 4500
001 1491976
005 2018-05-29
008 2009 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, L. M. T. de
245 $aEstudo da FAPAR em regiões fitoecológicas brasileiras através de série temporal derivada do NDVI/AVHRR.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE$c2009
300 $ap. 2855-2863.
520 $aThe objective of this work is to study the behavior of Brazilian vegetation throughout time series of Fraction of Photosynthetically Active Radiation (FAPAR) absorbed by a plant canopy derived from vegetation index of the A VHRR sensor; observing the variations of the types of vegetation, influences and relationships with the cIimate. The F AP AR dataset has spatial resolution of 0.1 °xO.1 o and temporal resolution of 10 days for the period 1982 to 1999. The data were investigated considering the seasonal and interannual variations for phytoecological regions of the country. The FAPAR results show: the largest values were observed in Evergreen Broadleaf Forests (Dense and Open) and Campinarana, the lesser amplitude of variation of FAPAR occur in Savanna and Savanna-Steppe, due to adaptation to environmental changes. Analyses of F AP AR demonstrate that ecosystems with ali strata and structured soil have higher values. Even though, the preliminary results confirm that exists evidences ofrelation between the behavior of the FAPAR and weather conditions. The ENSO events have influence on interannual variations of FAPAR, mainly in the North and Northeast. Furthermore, the discussion presents that the FAPAR has potential to be used as an indicator of the photosynthetic process and consequently in the monitoring ofprimary production.
650 $aweather
653 $aA VHRR
653 $aF AP AR
653 $aPhytoecological regions
653 $aRegiões fitoecológicas
653 $aTempo
700 1 $aFRANÇA. G. B.
700 1 $aCOSTA, T. C. e C. da
700 1 $aANTUNES, M. A. H.
700 1 $aFRANÇA, J. R. de A.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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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: |
06/03/2017 |
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Data da última atualização: |
19/05/2022 |
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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: |
PÖHLKER, M. L.; PÖHLKER, C.; DITAS, F.; KLIMACH, T.; ANGELIS, I. H. de; ARAUJO, A. C. de; BRITO, J.; CARBONE, S.; CHENG, Y.; CHI, X.; DITZ, R.; GUNTHE, S. S.; KESSELMEIER, J.; KÖNEMANN, T.; LAVRIC, J. V.; MARTIN, S. T.; MIKHAILOV, E.; MORAN-ZULOAGA, D.; ROSE, D.; SATURNO, J.; SU, H.; THALMAN, R.; WALTER, D.; WANG, J.; WOLFF, S.; BARBOSA, H. M. J.; ARTAXO, P.; ANDREAE, M. O.; PÖSCHL, U. |
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Afiliação: |
Mira L. Pöhlker, Max Planck Institute for Chemistry; Christopher Pöhlker, Max Planck Institute for Chemistry; Florian Ditas, Max Planck Institute for Chemistry; Thomas Klimach, Max Planck Institute for Chemistry; Isabella Hrabe de Angelis, Max Planck Institute for Chemistry; ALESSANDRO CARIOCA DE ARAUJO, CPATU; Joel Brito, USP / University Blaise Pascal; Samara Carbone, USP / Federal University of Uberlândia; Yafang Cheng, Max Planck Institute for Chemistry; Xuguang Chi, Max Planck Institute for Chemistry / Nanjing University; Reiner Ditz, Max Planck Institute for Chemistry; Sachin S. Gunthe, Indian Institute of Technology Madras; Jürgen Kesselmeier, Max Planck Institute for Chemistry; Tobias Könemann, Max Planck Institute for Chemistry; Jost V. Lavric, Max Planck Institute for Biogeochemistry; Scot T. Martin, Harvard University; Eugene Mikhailov, St. Petersburg State University; Daniel Moran-Zuloaga, Max Planck Institute for Chemistry; Diana Rose, Goethe University Frankfurt am Main; Jorge Saturno, Max Planck Institute for Chemistry; Hang Su, Max Planck Institute for Chemistry; Ryan Thalman, Brookhaven National Laboratory / Snow College; David Walter, Max Planck Institute for Chemistry; Jian Wang, Brookhaven National Laboratory; Stefan Wolff, Max Planck Institute for Chemistry / INPA; Henrique M. J. Barbosa, USP; Paulo Artaxo, USP; Meinrat O. Andreae, Max Planck Institute for Chemistry / University of California; Ulrich Pöschl, Max Planck Institute for Chemistry. |
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Título: |
Long-term observations of cloud condensation nuclei in the Amazon rain forest - Part 1: Aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Atmospheric Chemistry and Physics, v. 16, n. 24, p. 15709-15740, Dec. 2016. |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Araújo, A. |
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Conteúdo: |
Size-resolved long-term measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted at the remote Amazon Tall Tower Observatory (ATTO) in the central Amazon Basin over a 1-year period and full seasonal cycle (March 2014?February 2015). The measurements provide a climatology of CCN properties characteristic of a remote central Amazonian rain forest site. The CCN measurements were continuously cycled through 10 levels of supersaturation (S = 0.11 to 1.10 %) and span the aerosol particle size range from 20 to . The mean critical diameters of CCN activation range from at The particle hygroscopicity exhibits a pronounced size dependence with lower values for the Aitken mode , higher values for the accumulation mode , and an overall mean value of, consistent with high fractions of organic aerosol. The hygroscopicity parameter, exhibits remarkably little temporal variability: no pronounced diurnal cycles, only weak seasonal trends, and few short-term variations during long-range transport events. In contrast, the CCN number concentrations exhibit a pronounced seasonal cycle, tracking the pollution-related seasonality in total aerosol concentration. We find that the variability in the CCN concentrations in the central Amazon is mostly driven by aerosol particle number concentration and size distribution, while variations in aerosol hygroscopicity and chemical composition matter only during a few episodes. For modeling purposes, we compare different approaches of predicting CCN number concentration and present a novel parametrization, which allows accurate CCN predictions based on a small set of input data. MenosSize-resolved long-term measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted at the remote Amazon Tall Tower Observatory (ATTO) in the central Amazon Basin over a 1-year period and full seasonal cycle (March 2014?February 2015). The measurements provide a climatology of CCN properties characteristic of a remote central Amazonian rain forest site. The CCN measurements were continuously cycled through 10 levels of supersaturation (S = 0.11 to 1.10 %) and span the aerosol particle size range from 20 to . The mean critical diameters of CCN activation range from at The particle hygroscopicity exhibits a pronounced size dependence with lower values for the Aitken mode , higher values for the accumulation mode , and an overall mean value of, consistent with high fractions of organic aerosol. The hygroscopicity parameter, exhibits remarkably little temporal variability: no pronounced diurnal cycles, only weak seasonal trends, and few short-term variations during long-range transport events. In contrast, the CCN number concentrations exhibit a pronounced seasonal cycle, tracking the pollution-related seasonality in total aerosol concentration. We find that the variability in the CCN concentrations in the central Amazon is mostly driven by aerosol particle number concentration and size distribution, while variations in aerosol hygroscopicity and chemical composition matter only during a... Mostrar Tudo |
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Palavras-Chave: |
Condensação de nuvem. |
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Thesagro: |
Floresta Tropical. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03163naa a2200505 a 4500
001 2066296
005 2022-05-19
008 2016 bl uuuu u00u1 u #d
100 1 $aPÖHLKER, M. L.
245 $aLong-term observations of cloud condensation nuclei in the Amazon rain forest - Part 1$bAerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction.$h[electronic resource]
260 $c2016
500 $aNa publicação: Araújo, A.
520 $aSize-resolved long-term measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted at the remote Amazon Tall Tower Observatory (ATTO) in the central Amazon Basin over a 1-year period and full seasonal cycle (March 2014?February 2015). The measurements provide a climatology of CCN properties characteristic of a remote central Amazonian rain forest site. The CCN measurements were continuously cycled through 10 levels of supersaturation (S = 0.11 to 1.10 %) and span the aerosol particle size range from 20 to . The mean critical diameters of CCN activation range from at The particle hygroscopicity exhibits a pronounced size dependence with lower values for the Aitken mode , higher values for the accumulation mode , and an overall mean value of, consistent with high fractions of organic aerosol. The hygroscopicity parameter, exhibits remarkably little temporal variability: no pronounced diurnal cycles, only weak seasonal trends, and few short-term variations during long-range transport events. In contrast, the CCN number concentrations exhibit a pronounced seasonal cycle, tracking the pollution-related seasonality in total aerosol concentration. We find that the variability in the CCN concentrations in the central Amazon is mostly driven by aerosol particle number concentration and size distribution, while variations in aerosol hygroscopicity and chemical composition matter only during a few episodes. For modeling purposes, we compare different approaches of predicting CCN number concentration and present a novel parametrization, which allows accurate CCN predictions based on a small set of input data.
650 $aAmazonia
650 $aFloresta Tropical
653 $aCondensação de nuvem
700 1 $aPÖHLKER, C.
700 1 $aDITAS, F.
700 1 $aKLIMACH, T.
700 1 $aANGELIS, I. H. de
700 1 $aARAUJO, A. C. de
700 1 $aBRITO, J.
700 1 $aCARBONE, S.
700 1 $aCHENG, Y.
700 1 $aCHI, X.
700 1 $aDITZ, R.
700 1 $aGUNTHE, S. S.
700 1 $aKESSELMEIER, J.
700 1 $aKÖNEMANN, T.
700 1 $aLAVRIC, J. V.
700 1 $aMARTIN, S. T.
700 1 $aMIKHAILOV, E.
700 1 $aMORAN-ZULOAGA, D.
700 1 $aROSE, D.
700 1 $aSATURNO, J.
700 1 $aSU, H.
700 1 $aTHALMAN, R.
700 1 $aWALTER, D.
700 1 $aWANG, J.
700 1 $aWOLFF, S.
700 1 $aBARBOSA, H. M. J.
700 1 $aARTAXO, P.
700 1 $aANDREAE, M. O.
700 1 $aPÖSCHL, U.
773 $tAtmospheric Chemistry and Physics$gv. 16, n. 24, p. 15709-15740, Dec. 2016.
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