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In this study, a Route-Based Turbulent-Weather Avoidance Model (TWAM-R) is presented. TWAM-R improves a previously reported trajectory-based model which was tactical in nature. TWAM-R considers more strategic turbulence-avoidance decisions that are based on turbulence forecasts and pilot reports (PIREPs). TWAM-R identifies areas of reduced capacity and areas of potential hazards due to congestion caused by air traffic avoiding clear-air turbulence. The algorithm is explained and illustrated using real-life turbulence and air traffic demand data. This study is a part of a larger effort aimed at the creation of weather impact translation models which specify the link between the weather hazard causes and their impact on the National Airspace System (NAS).
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Published on 01/01/2011
Volume 2011, 2011
DOI: 10.2514/6.2011-6513
Licence: CC BY-NC-SA license
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