Derivation of Clear-Air Turbulence Parameters from High-Resolution Radiosonde Data

Author:

Martini E.1,Freni A.2,Cuccoli F.3,Facheris L.2

Affiliation:

1. Department of Information Engineering and Mathematics, University of Siena, Siena, and Wave Up S.r.l., Florence, Italy

2. Department of Information Engineering, University of Florence, Florence, Italy

3. Radar and Surveillance System National Laboratory, National Interuniversity Consortium for Telecommunications (CNIT), Pisa, Italy

Abstract

AbstractThe knowledge of atmospheric refractive index structure constant () profiles is fundamental to determine the intensity of turbulence, and hence the impact of the scintillation impairment on the signals propagating in the troposphere. However, their relation with atmospheric variables is not straightforward, and profiles based on statistical considerations are normally employed. This can be a shortcoming when performing simulations for which scintillation disturbances need to be consistent with the assumed atmospheric conditions. To overcome this limitation, this work describes a procedure to obtain an estimate of the refractive index structure constant profile of clear-air turbulence under given atmospheric conditions. The procedure is based on the application of the vertical gradient approach to high-resolution radiosonde data. Since turbulence is known to be confined to vertically thin layers, a preliminary identification of turbulent layers is required. This is accomplished by analyzing the profiles of the Richardson number. The value of the outer scale length is estimated using the Thorpe length calculated from the potential temperature profile. The procedure is applied to high-resolution radiosonde data that have been acquired from the Stratosphere–Troposphere Processes and their Role in Climate (SPARC) Data Center, and the obtained results are consistent with measured profiles previously published in the literature.

Funder

European Space Agency

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

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