Atmospheric turbulence and superstatistics

TL;DR

This paper explores how atmospheric turbulence can be modeled using superstatistics, a framework that combines two statistical distributions, demonstrated through analysis of wind velocity fluctuations at Florence airport.

Contribution

It applies the superstatistics concept to atmospheric turbulence data, providing a novel approach to understanding large-scale fluctuations in wind velocities.

Findings

Superstatistics effectively models atmospheric wind fluctuations.

Experimental data supports the superstatistics framework.

The approach offers insights into turbulence behavior.

Abstract

Nonequilibrium systems with large-scale fluctuations of a suitable system parameter are often effectively described by a superposition of two statistics, a superstatistics. Here we illustrate this concept by analysing experimental data of fluctuations in atmospheric wind velocity differences at Florence airport.