Characterizing the severe turbulence environments associated with commercial aviation accidents. A real-time turbulence model (RTTM) designed for the operational prediction of hazardous aviation turbulence environments

M. L. Kaplan; J. J. Charney; K. T. Waight III; K. M. Lux; J. D. Cetola; A. W. Huffman; A. J. Riordan; S. D. Slusser; M. T. Kiefer; P. S. Suffern; Y.-L. Lin

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Characterizing the severe turbulence environments associated with commercial aviation accidents. A real-time turbulence model (RTTM) designed for the operational prediction of hazardous aviation turbulence environments

机译：表征与商业航空事故相关的严重湍流环境。实时湍流模型（RTTM）设计用于危险航空湍流环境的运行预测

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In this paper, we will focus on the real-time prediction of environments that are predisposed to producing moderate-severe (hazardous) aviation turbulence. We will describe the numerical model and its postprocessing system that is designed for said prediction of environments predisposed to severe aviation turbulence as well as presenting numerous examples of its utility. The purpose of this paper is to demonstrate that simple hydrostatic precursor circulations organize regions of preferred wave breaking and turbulence at the nonhydrostatic scales of motion. This will be demonstrated with a hydrostatic numerical modeling system, which can be run in real time on a very inexpensive university computer workstation employing simple forecast indices. The forecast system is designed to efficiently support forecasters who are directing research aircraft to measure the environment immediately surrounding turbulence.

机译：在本文中，我们将专注于易于产生中等严重（危险）航空湍流的环境的实时预测。我们将描述数值模型及其后处理系统，该模型旨在用于对易遭受严重航空湍流影响的环境进行所述预测，并提供其实用性的众多示例。本文的目的是证明简单的静液压前体循环在非静液压的运动尺度上组织了优选的波浪破碎和湍流区域。这将通过静液压数值建模系统进行演示，该系统可以在使用简单预测指标的非常便宜的大学计算机工作站上实时运行。预报系统旨在为指导预报飞机测量湍流周围环境的预报员提供有效支持。

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《Meteorology and Atmospheric Physics》 |2006年第4期|235-270|共36页
作者
M. L. Kaplan; J. J. Charney; K. T. Waight III; K. M. Lux; J. D. Cetola; A. W. Huffman; A. J. Riordan; S. D. Slusser; M. T. Kiefer; P. S. Suffern; Y.-L. Lin;
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Department of Marine Earth and Atmospheric Sciences North Carolina State University;

USDA/Forest Service North Central Research Station;

MESO Inc.;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

Department of Marine Earth and Atmospheric Sciences North Carolina State University;

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1. Characterizing the severe turbulence environments associated with commercial aviation accidents. A real-time turbulence model (RTTM) designed for the operational prediction of hazardous aviation turbulence environments [J] . M. L. Kaplan, J. J. Charney, K. T. Waight, Meteorology and Atmospheric Physics . 2006,第1a4期

机译：表征与商业航空事故相关的严重湍流环境。实时湍流模型（RTTM）设计用于危险航空湍流环境的运行预测
2. Characterizing the severe turbulence environments associated with commercial aviation accidents. Part 1: A 44-case study synoptic observational analyses [J] . M. L. Kaplan, A. W. Huffman, K. M. Lux, Meteorology and Atmospheric Physics . 2005,第3a4期

机译：表征与商业航空事故相关的严重湍流环境。第1部分：44案例研究天气观测分析
3. Characterizing the severe turbulence environments associated with commercial aviation accidents. Part 2: Hydrostatic mesoscale numerical simulations of supergradient wind flow and streamwise ageostrophic frontogenesis [J] . M. L. Kaplan, A. W. Huffman, K. M. Lux, Meteorology and Atmospheric Physics . 2005,第3a4期

机译：表征与商业航空事故相关的严重湍流环境。第2部分：超梯度风流和水流变质前生的静水中尺度数值模拟
4. Efficient clear air turbulence avoidance algorithms using IoT for commercial aviation [C] . Amlan Chatterjee, Hugo Flores, Bin Tang, International Conference on Recent Developments in Control, Automation and Power Engineering . 2017

机译：使用IoT进行商用航空的高效避风湍流算法
5. Total lightning as an indicator of convectively induced turbulence threat to aviation interests. [D] . Rogers, Ryan. 2014

机译：总闪电是对流诱发的湍流威胁航空利益的指标。
6. Using random forests to diagnose aviation turbulence [O] . John K. Williams -1

机译：使用随机森林诊断航空湍流
7. Characterizing the Severe Turbulence Environments Associated With Commercial Aviation Accidents: A Real-Time Turbulence Model (RTTM) Designed for the Operational Prediction of Hazardous Aviation Turbulence Environments [O] . Lux, Kevin M., Cetola, Jeffrey D., Slusser, Sarah W., 2004

机译：表征与民航事故相关的严酷湍流环境：专为危险航空湍流环境的运行预测而设计的实时湍流模型（RTTM）
8. Characterizing the Severe Turbulence Environments Associated With Commercial Aviation Accidents: A Real-Time Turbulence Model (RTTM) Designed for the Operational Prediction of Hazardous Aviation Turbulence Environments [R] . Kaplan, Michael L., Lux, Kevin M., Cetola, Jeffrey D., 2004

机译：表征与商业航空事故相关的严重湍流环境：实时湍流模型（RTTm）设计用于危险航空湍流环境的运行预测

Characterizing the severe turbulence environments associated with commercial aviation accidents. A real-time turbulence model (RTTM) designed for the operational prediction of hazardous aviation turbulence environments

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