Performance Evaluation and Improvement of Operational Aviation Turbulence Prediction Model for Middle- and Upper- Levels
Author:
Funder
National Institute of Meteorological Sciences
Publisher
The Korean Society for Aviation and Aeronautics
Subject
General Medicine
Link
http://www.jksaa.org/download/download_pdf?doi=10.12985/ksaa.2023.31.3.030
Reference24 articles.
1. Lester, P., “Understanding turbulence through the analysis of DFDR information”, In 32nd Aerospace Sciences Meeting and Exhibit, 1994, p.269. 10.2514/6.1994-269
2. Sharman, R. D., and Lane, T., “Aviation Turbulence: Processes, Detection, Prediction”, Springer International Publishing, Switzerland, 2016, p.523. 10.1007/978-3-319-23630-8
3. Sharman, R. D., and Pearson, J. M., “Prediction of energy dissipation rates for aviation turbulence. Part I: Forecasting non convective turbulence”, Journal of Applied Meteorology and Climatology, 56(2), 2017, pp.317-337. 10.1175/JAMC-D-16-0205.1
4. Sharman, R. D., Tebaldi, C., Wiener, G., and Wolff, J., “An integrated approach to mid- and upper-level turbulence forecasting”, Weather and Forecasting, 21(3), 2006, pp.268-287. 10.1175/WAF924.1
5. Storer, L. N., Williams, P. D., and Gill, P. G, “Aviation turbulence: Dynamics, forecasting, and response to climate change”, Pure and Applied Geophysics, 176, 2019, pp.2081-2095. 10.1007/s00024-018-1822-0
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