In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles (2022)
- Authors:
- Autor USP: GRION, LIVIA SOUZA FREIRE - ICMC
- Unidade: ICMC
- DOI: 10.5194/amt-15-7171-2022
- Subjects: AEROSSOL; FLUXO TURBULENTO DOS FLUÍDOS; MÉTODOS NUMÉRICOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Goettingen
- Date published: 2022
- Source:
- Título: Atmospheric Measurement Techniques
- ISSN: 1867-1381
- Volume/Número/Paginação/Ano: v. 15, p. 7172-7194, 2022
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
PARK, Hyungwon John et al. In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles. Atmospheric Measurement Techniques, v. 15, p. 7172-7194, 2022Tradução . . Disponível em: https://doi.org/10.5194/amt-15-7171-2022. Acesso em: 30 mar. 2026. -
APA
Park, H. J., Reid, J. S., Freire, L. S., Jackson, C., & Richter, D. H. (2022). In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles. Atmospheric Measurement Techniques, 15, 7172-7194. doi:10.5194/amt-15-7171-2022 -
NLM
Park HJ, Reid JS, Freire LS, Jackson C, Richter DH. In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles [Internet]. Atmospheric Measurement Techniques. 2022 ; 15 7172-7194.[citado 2026 mar. 30 ] Available from: https://doi.org/10.5194/amt-15-7171-2022 -
Vancouver
Park HJ, Reid JS, Freire LS, Jackson C, Richter DH. In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles [Internet]. Atmospheric Measurement Techniques. 2022 ; 15 7172-7194.[citado 2026 mar. 30 ] Available from: https://doi.org/10.5194/amt-15-7171-2022 - Random errors in hot-wire anemometry using synthetic data
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