Real-time turbulence detection from commercial transport aircraft

Larry B. Cornman

Real-time turbulence detection from commercial transport aircraft

Larry B. Cornman

Research output: Abstract › Paper › peer-review

Abstract

The quality of atmospheric turbulence detection and forecast information for the operational meteorology and aviation communities Is directly linked to the quality of real-time measurements. Currently, the only direct data are subjective, qualitative, and intermittent pilot reports. This paper describes techniques, suitable for realtime application on commercial transport aircraft, to generate quantitative and comprehensive turbulence measurements. These algorithms build on standard methods used in the analysis of aircraft response to turbulence, but are specifically designed to address the limitations of the available on-board data and computational resources.

Original language	English
State	Published - 1995
Event	33rd Aerospace Sciences Meeting and Exhibit, 1995 - Reno, United States Duration: Jan 9 1995 → Jan 12 1995

Conference

Conference	33rd Aerospace Sciences Meeting and Exhibit, 1995
Country/Territory	United States
City	Reno
Period	01/9/95 → 01/12/95

Cite this

@conference{193bbc5600b14f8389db811df4444856,

title = "Real-time turbulence detection from commercial transport aircraft",

abstract = "The quality of atmospheric turbulence detection and forecast information for the operational meteorology and aviation communities Is directly linked to the quality of real-time measurements. Currently, the only direct data are subjective, qualitative, and intermittent pilot reports. This paper describes techniques, suitable for realtime application on commercial transport aircraft, to generate quantitative and comprehensive turbulence measurements. These algorithms build on standard methods used in the analysis of aircraft response to turbulence, but are specifically designed to address the limitations of the available on-board data and computational resources.",

author = "Cornman, \{Larry B.\}",

note = "Publisher Copyright: {\textcopyright} 1995 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.; 33rd Aerospace Sciences Meeting and Exhibit, 1995 ; Conference date: 09-01-1995 Through 12-01-1995",

year = "1995",

language = "English",

}

TY - CONF

T1 - Real-time turbulence detection from commercial transport aircraft

AU - Cornman, Larry B.

PY - 1995

Y1 - 1995

N2 - The quality of atmospheric turbulence detection and forecast information for the operational meteorology and aviation communities Is directly linked to the quality of real-time measurements. Currently, the only direct data are subjective, qualitative, and intermittent pilot reports. This paper describes techniques, suitable for realtime application on commercial transport aircraft, to generate quantitative and comprehensive turbulence measurements. These algorithms build on standard methods used in the analysis of aircraft response to turbulence, but are specifically designed to address the limitations of the available on-board data and computational resources.

AB - The quality of atmospheric turbulence detection and forecast information for the operational meteorology and aviation communities Is directly linked to the quality of real-time measurements. Currently, the only direct data are subjective, qualitative, and intermittent pilot reports. This paper describes techniques, suitable for realtime application on commercial transport aircraft, to generate quantitative and comprehensive turbulence measurements. These algorithms build on standard methods used in the analysis of aircraft response to turbulence, but are specifically designed to address the limitations of the available on-board data and computational resources.

UR - https://www.scopus.com/pages/publications/84963568715

M3 - Paper

AN - SCOPUS:84963568715

T2 - 33rd Aerospace Sciences Meeting and Exhibit, 1995

Y2 - 9 January 1995 through 12 January 1995

ER -

Real-time turbulence detection from commercial transport aircraft

Abstract

Conference

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