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Perspectives of Non-Gaussianity in Atmospheric Synoptic and Low-Frequency Variability
Stockholm University, Faculty of Science, Department of Meteorology .
Number of Authors: 2
2015 (English)In: Journal of Climate, ISSN 0894-8755, E-ISSN 1520-0442, Vol. 28, no 13, 5091-5114 p.Article, review/survey (Refereed) Published
Abstract [en]

Understanding non-Gaussian statistics of atmospheric synoptic and low-frequency variability has important consequences in the atmospheric sciences, not least because weather and climate risk assessment depends on knowing and understanding the exact shape of the system's probability density function. While there is no doubt that many atmospheric variables exhibit non-Gaussian statistics on many time (and spatial) scales, a full and complete understanding of this phenomenon remains a challenge. Various mechanisms behind the observed atmospheric non-Gaussian statistics have been proposed but remain, however, multifaceted and scattered in the literature: nonlinear dynamics, multiplicative noise, cross-frequency coupling, nonlinear boundary layer drag, and others. Given the importance of this subject for weather and climate research, and in an attempt to contribute to this topic, a thorough review and discussion of the different mechanisms that lead to non-Gaussian weather and climate variability are presented in this paper and an outlook is given.

Place, publisher, year, edition, pages
2015. Vol. 28, no 13, 5091-5114 p.
National Category
Meteorology and Atmospheric Sciences
Identifiers
URN: urn:nbn:se:su:diva-119313DOI: 10.1175/JCLI-D-14-00572.1ISI: 000357485700006OAI: oai:DiVA.org:su-119313DiVA: diva2:844065
Available from: 2015-08-03 Created: 2015-08-03 Last updated: 2017-12-04Bibliographically approved

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