researchers have developed a neural network model to estimate atmospheric turbulence profiles. This model has shown promising results in accurately predicting turbulence parameters, which are ...

The a priori knowledge of atmospheric conditions several hours before observations allows the programming ... Brown, J. 1993, A Model for Cn 2 (optical turbulence) profiles using radiosonde data ...

ABSTRACT We present here an in situ technique to measure the microstructure of the temperature field in our atmosphere. It consists of an autonomous payload that ... allowing us to achieve an optical ...

In aviation, turbulence is one of the most unpredictable atmospheric events, and while most events are just a minor inconvenience or jolt, it can be significant enough to cause damage to the ...

Model the Earth’s atmosphere—and the atmospheres of other planets—in order to solve some of the most vexing problems facing environmental scientists today. Using state-of-the-art equipment, ...

a Professor of Atmospheric Science in the Department of Meteorology at the University of Reading. This is because pilots rely on earlier flight paths to navigate past areas of bad turbulence.

The Federal Aviation Administration (FAA) defines turbulence as “air movement created by atmospheric pressure, jet streams, air around mountains, cold or warm weather fronts or thunderstorms.” ...

Gratton explained how the warming atmosphere speeds up the jet streams — causing more severe turbulence. It's linked to the relationship between two layers of the Earth's atmosphere. The lowest ...

Using data from the UK Met Office and the National Oceanic and Atmospheric Administration (NOAA), tracker site Turbli found the route most prone to turbulence was the 121-mile trip from Mendoza in ...