Importance

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Abstract

A clear air turbulence (CAT) detection system performs a nested grid modeling algorithm to detect CAT along the flight path of an aircraft. The aircraft stores coarse simulation information and utilizes the information to perform large scale weather modeling over a large grid. On board sensors are utilized to generate observational information to model atmospheric conditions within a smaller grid, nested within the larger grid, and including the flight path of the aircraft. A nowcast predicting turbulence along the flight path in the near future alerts the pilot to the likelihood of encountering clear air turbulence. A data link may be utilized to receive coarse simulation data or observational data from sources external to the aircraft. Additionally, the coarse simulation information may include turbulence forecast data and the observational information is used to refine the turbulence forecast to more accurately predict clear air turbulence along the flight path of the aircraft.

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First Claim