Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory (2019)
- Authors:
- USP affiliated authors: NETTO, PAULO EDUARDO ARTAXO - IF ; BRITO, JOEL FERREIRA DE - IF
- Unidade: IF
- DOI: 10.5194/acp-19-8425-2019
- Subjects: FÍSICA ATMOSFÉRICA; MUDANÇA CLIMÁTICA; BIOSFERA; POLUIÇÃO ATMOSFÉRICA
- Keywords: AMAZON TALL TOWER OBSERVATORY (ATTO)
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Atmospheric Chemistry and Physics
- ISSN: 1680-7324
- Volume/Número/Paginação/Ano: v. 19, p. 8425–8470, 2019
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
PÖHLKER, Christopher e BRITO, Joel Ferreira de e ARTAXO NETTO, Paulo Eduardo. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory. Atmospheric Chemistry and Physics, v. 19, p. 8425–8470, 2019Tradução . . Disponível em: https://doi.org/10.5194/acp-19-8425-2019. Acesso em: 28 dez. 2025. -
APA
Pöhlker, C., Brito, J. F. de, & Artaxo Netto, P. E. (2019). Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory. Atmospheric Chemistry and Physics, 19, 8425–8470. doi:10.5194/acp-19-8425-2019 -
NLM
Pöhlker C, Brito JF de, Artaxo Netto PE. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory [Internet]. Atmospheric Chemistry and Physics. 2019 ; 19 8425–8470.[citado 2025 dez. 28 ] Available from: https://doi.org/10.5194/acp-19-8425-2019 -
Vancouver
Pöhlker C, Brito JF de, Artaxo Netto PE. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory [Internet]. Atmospheric Chemistry and Physics. 2019 ; 19 8425–8470.[citado 2025 dez. 28 ] Available from: https://doi.org/10.5194/acp-19-8425-2019 - Isoprene chemistry in pristine and polluted Amazon environments: eulerian and Lagrangian model frameworks and the strong bearing they have on our understanding of surface ozone and predictions of rainforest exposure to this priority pollutant
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Informações sobre o DOI: 10.5194/acp-19-8425-2019 (Fonte: oaDOI API)
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