Carbone, Francesco, Bruno, A. G., Naccarato, A. et al. (13 more authors) (2018) The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations. Journal of Geophysical Research: Biogeosciences. pp. 764-774. ISSN 2169-8961
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2017. American Geophysical Union. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | atmospheric turbulence,interoccurrence times,mercury,superstatistics,universal scaling |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York The University of York > Faculty of Sciences (York) > Chemistry (York) |
Depositing User: | Pure (York) |
Date Deposited: | 25 May 2018 09:30 |
Last Modified: | 16 Oct 2024 14:46 |
Published Version: | https://doi.org/10.1002/2017JD027384 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1002/2017JD027384 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131332 |
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