The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations

Francesco Carbone; A. G. Bruno; A. Naccarato; Francesco De Simone; Christian N. Gencarelli; Francesca Sprovieri; Ian M. Hedgecock; M. S. Landis; Henrik Skov; K. A. Pfaffhuber; K. A. Read; C. L. Martin; Helene Angot; Aurélien Dommergue; O. Magand; Nicola Pirrone

doi:10.1002/2017JD027384

The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations

Francesco Carbone, A. G. Bruno, A. Naccarato, Francesco De Simone, Christian N. Gencarelli, Francesca Sprovieri, Ian M. Hedgecock, M. S. Landis, Henrik Skov, K. A. Pfaffhuber, K. A. Read, C. L. Martin, Helene Angot, Aurélien Dommergue, O. Magand, Nicola Pirrone

Research output: Contribution to journal › Article › peer-review

Abstract

The probability density function (PDF) of the time intervals between subsequent extreme events in atmospheric Hg⁰ concentration data series from different latitudes has been investigated. The Hg⁰ dynamic possesses a long-term memory autocorrelation function. Above a fixed threshold Q in the data, the PDFs of the interoccurrence time of the Hg⁰ data are well described by a Tsallis q-exponential function. This PDF behavior has been explained in the framework of superstatistics, where the competition between multiple mesoscopic processes affects the macroscopic dynamics. An extensive parameter μ, encompassing all possible fluctuations related to mesoscopic phenomena, has been identified. It follows a χ² distribution, indicative of the superstatistical nature of the overall process. Shuffling the data series destroys the long-term memory, the distributions become independent of Q, and the PDFs collapse on to the same exponential distribution. The possible central role of atmospheric turbulence on extreme events in the Hg⁰ data is highlighted.

Original language	English
Pages (from-to)	764-774
Number of pages	11
Journal	Journal of Geophysical Research: Biogeosciences
Volume	123
Issue number	2
Early online date	19 Jan 2018
DOIs	https://doi.org/10.1002/2017JD027384
Publication status	Published - 27 Jan 2018

Bibliographical note

Keywords

atmospheric turbulence
interoccurrence times
mercury
superstatistics
universal scaling

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Carbone, F., Bruno, A. G., Naccarato, A., De Simone, F., Gencarelli, C. N., Sprovieri, F., Hedgecock, I. M., Landis, M. S., Skov, H., Pfaffhuber, K. A., Read, K. A., Martin, C. L., Angot, H., Dommergue, A., Magand, O., & Pirrone, N. (2018). The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations. Journal of Geophysical Research: Biogeosciences, 123(2), 764-774. https://doi.org/10.1002/2017JD027384

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abstract = "The probability density function (PDF) of the time intervals between subsequent extreme events in atmospheric Hg0 concentration data series from different latitudes has been investigated. The Hg0 dynamic possesses a long-term memory autocorrelation function. Above a fixed threshold Q in the data, the PDFs of the interoccurrence time of the Hg0 data are well described by a Tsallis q-exponential function. This PDF behavior has been explained in the framework of superstatistics, where the competition between multiple mesoscopic processes affects the macroscopic dynamics. An extensive parameter μ, encompassing all possible fluctuations related to mesoscopic phenomena, has been identified. It follows a χ2 distribution, indicative of the superstatistical nature of the overall process. Shuffling the data series destroys the long-term memory, the distributions become independent of Q, and the PDFs collapse on to the same exponential distribution. The possible central role of atmospheric turbulence on extreme events in the Hg0 data is highlighted.",

keywords = "atmospheric turbulence, interoccurrence times, mercury, superstatistics, universal scaling",

author = "Francesco Carbone and Bruno, {A. G.} and A. Naccarato and {De Simone}, Francesco and Gencarelli, {Christian N.} and Francesca Sprovieri and Hedgecock, {Ian M.} and Landis, {M. S.} and Henrik Skov and Pfaffhuber, {K. A.} and Read, {K. A.} and Martin, {C. L.} and Helene Angot and Aur{\'e}lien Dommergue and O. Magand and Nicola Pirrone",

note = "{\textcopyright}2017. American Geophysical Union. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details.",

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Carbone, F, Bruno, AG, Naccarato, A, De Simone, F, Gencarelli, CN, Sprovieri, F, Hedgecock, IM, Landis, MS, Skov, H, Pfaffhuber, KA, Read, KA, Martin, CL, Angot, H, Dommergue, A, Magand, O & Pirrone, N 2018, 'The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations', Journal of Geophysical Research: Biogeosciences, vol. 123, no. 2, pp. 764-774. https://doi.org/10.1002/2017JD027384

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T1 - The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations

AU - Carbone, Francesco

AU - Bruno, A. G.

AU - Naccarato, A.

AU - De Simone, Francesco

AU - Gencarelli, Christian N.

AU - Sprovieri, Francesca

AU - Hedgecock, Ian M.

AU - Landis, M. S.

AU - Skov, Henrik

AU - Pfaffhuber, K. A.

AU - Read, K. A.

AU - Martin, C. L.

AU - Angot, Helene

AU - Dommergue, Aurélien

AU - Magand, O.

AU - Pirrone, Nicola

PY - 2018/1/27

Y1 - 2018/1/27

N2 - The probability density function (PDF) of the time intervals between subsequent extreme events in atmospheric Hg0 concentration data series from different latitudes has been investigated. The Hg0 dynamic possesses a long-term memory autocorrelation function. Above a fixed threshold Q in the data, the PDFs of the interoccurrence time of the Hg0 data are well described by a Tsallis q-exponential function. This PDF behavior has been explained in the framework of superstatistics, where the competition between multiple mesoscopic processes affects the macroscopic dynamics. An extensive parameter μ, encompassing all possible fluctuations related to mesoscopic phenomena, has been identified. It follows a χ2 distribution, indicative of the superstatistical nature of the overall process. Shuffling the data series destroys the long-term memory, the distributions become independent of Q, and the PDFs collapse on to the same exponential distribution. The possible central role of atmospheric turbulence on extreme events in the Hg0 data is highlighted.

AB - The probability density function (PDF) of the time intervals between subsequent extreme events in atmospheric Hg0 concentration data series from different latitudes has been investigated. The Hg0 dynamic possesses a long-term memory autocorrelation function. Above a fixed threshold Q in the data, the PDFs of the interoccurrence time of the Hg0 data are well described by a Tsallis q-exponential function. This PDF behavior has been explained in the framework of superstatistics, where the competition between multiple mesoscopic processes affects the macroscopic dynamics. An extensive parameter μ, encompassing all possible fluctuations related to mesoscopic phenomena, has been identified. It follows a χ2 distribution, indicative of the superstatistical nature of the overall process. Shuffling the data series destroys the long-term memory, the distributions become independent of Q, and the PDFs collapse on to the same exponential distribution. The possible central role of atmospheric turbulence on extreme events in the Hg0 data is highlighted.

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The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations

Abstract

Bibliographical note

Keywords

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