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| Registros recuperados : 21 | |
| 6. |  | NÖLSCHER, A. C.; YAÑEZ-SERRANO, A. M.; WOLFF, S.; ARAUJO, A. C. de; LAVRIC, J. V.; KESSELMEIER, J.; WILLIAMS, J. Unexpected seasonality in quantity and composition of Amazon rainforest air reactivity. Nature Communications, v. 7, art. n. 10383, 22 Jan. 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 7. | | ZAHN, E.; DIAS, N. L.; ARAUJO, A.; SÁ, L. D. A.; SÖRGEL, M.; TREBS, I.; WOLFF, S.; MANZI, A. Scalar turbulent behavior in the roughness sublayer of an Amazonian forest. Atmospheric Chemistry and Physics, v. 16, p. 11349-11366, 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 9. | | KUNERT, N.; APARECIDO, L. M. T.; WOLFF, S.; HIGUCHI, N.; SANTOS, J. dos; ARAUJO, A. C. de; TRUMBORE, S. A revised hydrological model for the Central Amazon: The importanceof emergent canopy trees in the forest water budget. Agricultural and Forest Meteorology, v. 239, p. 47-57, May 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 10. | | 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. Flux-variance and flux-gradient relationships in the roughnesssublayer over the Amazon forest. Agricultural and Forest Meteorology, v. 239, p. 213-222, May 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 12. | | OLVEIRA, P. E. S.; ACEVEDO, O. C.; SÖRGEL, M.; TSOKANKUNKU, A.; WOLFF, S.; ARAUJO, A. C. de; SOUZA, R. A. F.; SÁ, M. O.; MANZI, A. O.; ANDREAE, M. O. Nighttime wind and scalar variability within and above an Amazonian canopy. Atmospheric Chemistry and Physics, v. 18, n. 5, p. 3083-3099, 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 13. | | MALHI, Y.; MELACK, J.; GATTI, L. V.; OMETTO, J.; KESSELMEIER, J.; WOLFF, S.; ARAGÃO, L. E. O.; COSTA, M.; SALESKA, S.; PANGALA, S. R.; BASSO, L. S.; RIZZO, L.; ARAUJO, A. C. de; RESTREPO-COUPE, N. Biogeochemical cycles of the Amazon. In: SCIENCE panel for the Amazon: Amazon assessment report 2021: part I: The Amazon as a regional entity of the Earth system. New York, NY: United Nations Sustainable Development Solutions Network, 2021. Cap. 6, pag. irregular.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 14. | | RINGSDORF, A.; EDTBAUER, A.; ARELLANO, J. V.-G. de; PFANNERSTILL, E. Y.; GROMOV, S.; KUMAR, V.; POZZER, A.; WOLFF, S.; TSOKANKUNKU, A.; SOERGEL, M.; SÁ, M. O.; ARAUJO, A. C. de; DITAS, F.; POEHLKER, C.; LELIEVELD, J.; WILLIAMS, J. Inferring the diurnal variability of OH radical concentrations over the Amazon from BVOC measurements. Scientific Reports, v. 13, Article number: 14900, 2023.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 15. | | PFANNERSTILL, E. Y.; REIJRINK, N. G.; EDTBAUER, A.; RINGSDORF, A.; ZANNONI, N.; ARAUJO, A. C. de; DITAS, F.; HOLANDA, B. A.; SÁ, M. O.; TSOKANKUNKU, A.; WALTER, D.; WOLFF, S.; LAVRIC, J. V.; PÖHLKER, C.; SÖRGEL, M.; WILLIAMS, J. Total OH reactivity over the Amazon rainforest: variability with temperature, wind, rain, altitude, time of day, season, and an overall budget closure. Atmospheric Chemistry and Physics, v. 21, n. 8, p. 6231-6256, 2021.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 16. | | KOMIYA, S.; ARAUJO, A. C. de; LAVRIC, J. V.; NELSON, B.; SÖRGEL, M.; WEBER, B.; BOTIA, S.; GOMES-ALVES, E.; WALTER, D.; SÁ, M. de O.; WOLFF, S.; PINHO, D. M.; KONDO, F.; TRUMBORE, S. Seasonal and interannual variations of carbon fluxes at the Amazon Tall Tower Observatory site in 2014-2019. In: EGU GENERAL ASSEMBLY, 2022, Viena. Programme. [S.l.]: EGU, 2022.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 17. | | PFANNERSTILL, E. Y.; NÖLSCHER, A. C.; YÁÑEZ-SERRANO, A. M.; BOURTSOUKIDIS, E.; KEBEL, S.; JANSSEN, R. H. H.; TSOKANKUNKU, A.; WOLFF, S.; SÖRGEL, M.; SÁ, M. O.; ARAUJO, A. C. de; WALTER, D.; LAVRIC, J.; DIAS-JUNIOR, C. Q.; KESSELMEIER, J.; WILLIAMS, J. Total OH reactivity changes over the Amazon rainforest during an El Niño event. Frontiers in Forests and Global Change, v. 1, Article 12, Dec. 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 18. | | 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. 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. Atmospheric Chemistry and Physics, v. 16, n. 24, p. 15709-15740, Dec. 2016. Na publicação: Araújo, A.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 19. | | PÖHLKER, M. L.; DITAS, F.; SATURNO, J.; KLIMACH, T.; ANGELIS, I. H. de; ARAUJO, A. C. de; BRITO, J.; CARBONE, S.; CHENG, Y.; CHI, X.; DITZ, R.; GUNTHE, S. S.; HOLANDA, B. A.; KANDLER, K.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, O. O.; LAVRIC, J. V.; MARTINS, S. T.; MIKHAILOV, E.; MORAN-ZULOAGA, D.; RIZZO, L. V.; ROSE, D.; SU, H.; THALMAN, R.; WALTER, D.; WANG, J.; WOLFF, S.; BARBOSA, H. M. J.; ARTAXO, P.; ANDREAE, M. O.; PÖSCHL, U.; PÖHLKER, C. Long-term observations of cloud condensation nuclei over the Amazon rain forest - Part 2: Variability and characteristics of biomass burning, long-range transport, and pristine rain forest aerosols. Atmospheric Chemistry and Physics, v. 18, n. 14, p. 10289-10331, 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 20. | | ANDREAE, M. O.; ACEVEDO, O. C.; ARAUJO, A.; ARTAXO, P.; BARBOSA, C. G. G.; BARBOSA, H. M. J.; BRITO, J.; CARBONE, S.; CHI, X.; CINTRA, B. B. L.; SILVA, N. F. da; DIAS, N. L.; DIAS-JÚNIOR, C. Q.; DITAS, F.; DITZ, R.; GODOI, A. F. L.; GODOI, R. H. M.; HEIMANN, M.; HOFFMANN, T.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, M. L.; LAVRIC, J. V.; MANZI, A. O.; MORAN-ZULOAGA, D.; NÖLSCHER, A. C.; NOGUEIRA, D. S.; PIEDADE, M. T. F.; PÖHLKER, C.; PÖSCHL, U.; RIZZO, L. V.; RO, C.-U.; RUCKTESCHLER, N.; SÁ, L. D. A.; SÁ, M. D. O.; SALES, C. B.; SANTOS, R. M. N. dos; SATURNO, J.; SCHÖNGART, J.; SÖRGEL, M.; SOUZA, C. M. de; SOUZA, R. A. F. de; SU, H.; TARGHETTA, N.; TÓTA, J.; TREBS, I.; TRUMBORE, S.; EIJCK, A. van; WALTER, D.; WANG, Z.; WEBER, B.; WILLIAMS, J.; WINDERLICH, J.; WITTMANN, F.; WOLFF, S.; YÁÑEZ-SERRANO, A. M. The Amazon Tall Tower Observatory (ATTO) in the remote Amazon basin: overview of first results from ecosystem ecology, meteorology, trace gas, and aerosol measurements. Atmospheric Chemistry and Physics Discuss, v. 15, n. 18, p. 11599-11726, 2015.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 21 | |
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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. |
|
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
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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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