2010
DOI: 10.1209/0295-5075/89/20006
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Universal fluctuations in tropospheric radar measurements

Abstract: Radar data collected at an experimental facility arranged on purpose suggest that the footprint of atmospheric turbulence might be encoded in the radar signal statistics. Radar data probability distributions are calculated and nicely fitted by a one parameter family of generalized Gumbel (GG) distributions, Ga. A relation between the wind strength and the measured shape parameter a is obtained. Strong wind fluctuations return pronounced asymmetric leptokurtic profiles, while Gaussian profiles are eventually re… Show more

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Cited by 9 publications
(6 citation statements)
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“…wave phase (Iannini and Monti Guarnieri 2011;Barucci et al 2010). For these reasons, the reliability of the results of this area is low.…”
Section: Resultsmentioning
confidence: 99%
“…wave phase (Iannini and Monti Guarnieri 2011;Barucci et al 2010). For these reasons, the reliability of the results of this area is low.…”
Section: Resultsmentioning
confidence: 99%
“…The model assumes that as the data increase, so does the seasonal pattern. Several time series exhibit such a pattern (Barucci et al 2010). The multiplicative model is expressed as: Yt = Trend * Seasonal * Error, where Yt is the observation at time t. An approximate confidence interval (95%) of the prediction using a rule of thumb prediction ± 2·x Standard Error were also plotted.…”
Section: Time Series Decompositionmentioning
confidence: 99%
“…5 C ). By contrast, the distribution of the instantaneous correlations in the perturbed state are highly non-Gaussian and can be captured by a distribution that is commonly used for scale-free processes, the generalized Gumbel distribution ( 60 , 61 ): where and . Here, is the gamma function of ; and are the mean and SD of ; and and in Eq.…”
Section: Resultsmentioning
confidence: 99%