Possibility of Clear Air Turbulence Localization with Lidar

Study of Clear Air Turbulence over Iranian Plato

This study was carried out using two sets of numerical weather forecast data and flight reports for Clear Air Turbulence (CAT) over Iranian Plato to find atmospheric flow patterns favorable to the formation of CAT. The numerical data include five months of AVN analysis with horizontal resolution of 1 degree(about 100 km) and four months forecast data of MM5 model with resolution of 50 km. Impor...

Verification of clear-air turbulence forecasts

Clear Air Turbulence Detection and Characterisation in the Delicat Airborne Lidar Project

We report on a development of a long-range airborne UV high spectral resolution lidar, intended for the detection and characterisation of clear air turbulence (CAT). The detection of turbulence is based on the measurement of density fluctuations associated with the movement of turbulent air masses. These density fluctuations are measured by the variations in the molecular backscatter coefficien...

Clear-air turbulence in a changing climate

Atmospheric turbulence causes most weather-related aircraft incidents. Commercial aircraft encounter moderate-or-greater turbulence tens of thousands of times each year worldwide, injuring probably hundreds of passengers (occasionally fatally), costing airlines tens of millions of dollars and causing structural damage to planes. Clear-air turbulence is especially difficult to avoid, because it ...

Clear-Air Turbulence Impact Modeling Based on Flight Route Analysis

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 congesti...