In-Flight Turbulence Forecast Model Based on Machine Learning for the Santiago (Chile)–Mendoza (Argentina) Air Route
Author:
Funder
DECEA/CTCEA
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s00024-022-03053-5.pdf
Reference52 articles.
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3. de Almeida, V. A., França, G. B., & Velho, H. C. (2020). Data assimilation for nowcasting in the terminal area of Rio de Janeiro. Ciência e Natura, 42, 40. https://doi.org/10.5194/amt-9-2335-2016
4. de Lyra, A. A., Chan, C. S., & Dereczynski, C. P. (2007). Indicadores de turbulência a partir de previsões do modelo regional ETA. Revista Brasileira de Meteorologia, 22(2), 161–182. https://doi.org/10.1590/S0102-77862007000200003
5. Dörnbrack, A., Gerz, T., & Schumann, U. (1995). Turbulent breaking of overturning gravity waves below a critical level. Applied Scientific Research, 54(3), 163–176. https://doi.org/10.1007/BF00849114
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