DOI: 10.1175/JCLI-D-14-00572.1
Scopus记录号: 2-s2.0-84942014424
论文题名: Perspectives of non-gaussianity in atmospheric synoptic and low-frequency variability
作者: Sura P. ; Hannachi A.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 13 起始页码: 5091
结束页码: 5114
语种: 英语
Scopus关键词: Balloons
; Boundary layers
; Coupled circuits
; Gaussian distribution
; Gaussian noise (electronic)
; Meteorology
; Probability density function
; Risk assessment
; Atmospheric variables
; Climate variability
; Crossfrequency couplings (CFC)
; Different mechanisms
; Low frequency variability
; Multiplicative noise
; Non-Gaussian statistics
; Nonlinear boundary layer
; Atmospheric boundary layer
; atmospheric modeling
; climate modeling
; climate variation
; Gaussian method
; probability density function
; research work
; synoptic meteorology
; weather forecasting
英文摘要: 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. © 2015 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50618
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, United States; Department of Meteorology, Stockholm University, Stockholm, Sweden
Recommended Citation:
Sura P.,Hannachi A.. Perspectives of non-gaussianity in atmospheric synoptic and low-frequency variability[J]. Journal of Climate,2015-01-01,28(13)