Abstract

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).


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.2514/6.2011-6513
https://arc.aiaa.org/doi/pdf/10.2514/6.2011-6513,
https://academic.microsoft.com/#/detail/2131665574
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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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