Automated Turbulence Forecasting Strategies
| Autor: | Emily N. Wilson, Corey B. Dunn, Jeremiah S. Grant, John A. Knox, Jared A. Rackley, Alan W. Black, Stephanie P. Phelps, David S. Nevius |
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| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology Aviation business.industry Turbulence 010502 geochemistry & geophysics Numerical weather prediction 01 natural sciences Nonlinear Sciences::Chaotic Dynamics Physics::Fluid Dynamics Internal gravity wave Physics::Space Physics Mountain wave Gravity wave business Physics::Atmospheric and Oceanic Physics Geology 0105 earth and related environmental sciences Vertical shear |
| Zdroj: | Aviation Turbulence ISBN: 9783319236292 |
| DOI: | 10.1007/978-3-319-23630-8_12 |
| Popis: | Forecasting aviation turbulence remains a challenge in the twenty-first century because of the small temporal and spatial scales of the phenomenon and the multiplicity of causes of the turbulence. In this chapter we discuss both the theoretically derived methods and the empirical techniques used to forecast aviation turbulence. The focus is mainly on clear-air turbulence (CAT), but forecasting techniques for low-level, convectively induced, and mountain wave turbulence (MWT) are also surveyed. We conclude with a brief glimpse into the future of aviation turbulence forecasting. |
| Databáze: | OpenAIRE |
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