Identification and quantification of giant bioaerosol particles over the Amazon rainforest (2022)
- Authors:
- Autor USP: BARBOSA, HENRIQUE DE MELO JORGE - IF
- Unidade: IF
- DOI: 10.1038/s41612-022-00294-y
- Subjects: FLORESTAS TROPICAIS; AEROSSOL
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature
- Publisher place: Berlin
- Date published: 2022
- Source:
- Título: npj Climate and Atmospheric Science
- Volume/Número/Paginação/Ano: v. 5, Article number: 73, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BARBOSA, Cybelli Gonçalves Gregório e BARBOSA, Henrique de Melo Jorge. Identification and quantification of giant bioaerosol particles over the Amazon rainforest. npj Climate and Atmospheric Science, v. 5, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41612-022-00294-y. Acesso em: 21 jan. 2026. -
APA
Barbosa, C. G. G., & Barbosa, H. de M. J. (2022). Identification and quantification of giant bioaerosol particles over the Amazon rainforest. npj Climate and Atmospheric Science, 5. doi:10.1038/s41612-022-00294-y -
NLM
Barbosa CGG, Barbosa H de MJ. Identification and quantification of giant bioaerosol particles over the Amazon rainforest [Internet]. npj Climate and Atmospheric Science. 2022 ; 5[citado 2026 jan. 21 ] Available from: https://doi.org/10.1038/s41612-022-00294-y -
Vancouver
Barbosa CGG, Barbosa H de MJ. Identification and quantification of giant bioaerosol particles over the Amazon rainforest [Internet]. npj Climate and Atmospheric Science. 2022 ; 5[citado 2026 jan. 21 ] Available from: https://doi.org/10.1038/s41612-022-00294-y - Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017
- Spatial distribution of cloud droplet size properties from AirborneHyper-Angular Rainbow Polarimeter (AirHARP) measurements
- Evaluation of convection in Central Amazonia using WRF high resolution simulation: shallow-to-deep transition and the role of shallow cumulus clouds
- Basic Radiative Transfer Concepts: Part I
- Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest
- The Aerosol Characterization from Polarimeterand Lidar (ACEPOL) airborne field campaign
- Latin american lidar network (LALINET) for aerosol research: diagnosis on network instrumentation
- A deforestation-induced tipping point for the South American monsoon system
- Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks
- A Spatiotemporal Water Vapor-Deep Convection Correlation Metric Derived from the Amazon Dense GNSS Meteorological Network
Informações sobre o DOI: 10.1038/s41612-022-00294-y (Fonte: oaDOI API)
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