Predicting vertical concentration profiles in the marine atmospheric boundary layer with a Markov chain random walk model (2020)
- Authors:
- Autor USP: GRION, LIVIA SOUZA FREIRE - ICMC
- Unidade: ICMC
- DOI: 10.1029/2020JD032731
- Subjects: CADEIAS DE MARKOV; TURBULÊNCIA ATMOSFÉRICA; DINÂMICA DOS FLUÍDOS COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2020
- Source:
- Título: Journal of Geophysical Research : Atmospheres
- ISSN: 2169-897X
- Volume/Número/Paginação/Ano: v. 125, n. 19, p. 1-22, Oct. 2020
- Este periódico possui versão em assinatura (ou híbrida)
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- Versão: submittedVersion
- Licença: other-oa
- Evidência: deprecated
- Status do Acesso Aberto: green
-
ABNT
PARK, Hyungwon John et al. Predicting vertical concentration profiles in the marine atmospheric boundary layer with a Markov chain random walk model. Journal of Geophysical Research : Atmospheres, v. 125, n. 19, p. 1-22, 2020Tradução . . Disponível em: https://doi.org/10.1029/2020JD032731. Acesso em: 10 mar. 2026. -
APA
Park, H. J., Sherman, T., Freire, L. S., Wang, G., Bolster, D., Xian, P., et al. (2020). Predicting vertical concentration profiles in the marine atmospheric boundary layer with a Markov chain random walk model. Journal of Geophysical Research : Atmospheres, 125( 19), 1-22. doi:10.1029/2020JD032731 -
NLM
Park HJ, Sherman T, Freire LS, Wang G, Bolster D, Xian P, Sorooshian A, Reid JS, Richter DH. Predicting vertical concentration profiles in the marine atmospheric boundary layer with a Markov chain random walk model [Internet]. Journal of Geophysical Research : Atmospheres. 2020 ; 125( 19): 1-22.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1029/2020JD032731 -
Vancouver
Park HJ, Sherman T, Freire LS, Wang G, Bolster D, Xian P, Sorooshian A, Reid JS, Richter DH. Predicting vertical concentration profiles in the marine atmospheric boundary layer with a Markov chain random walk model [Internet]. Journal of Geophysical Research : Atmospheres. 2020 ; 125( 19): 1-22.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1029/2020JD032731 - Random errors in hot-wire anemometry using synthetic data
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