DOI: 10.1007/s00382-015-2576-3
Scopus记录号: 2-s2.0-84955673202
论文题名: Predictability of the Madden–Julian Oscillation index: seasonality and dependence on MJO phase
作者: Oliver E.C.J. ; Thompson K.R.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-01-02 起始页码: 159
结束页码: 176
语种: 英语
英文关键词: Autoregressive process
; Intraseasonal variability
; Madden–Julian Oscillation
; Predictability
; Statistical model
英文摘要: We describe here a damped harmonic oscillator model for the Wheeler and Hendon (Mon Weather Rev 132(8):1917–1932, 2004) Madden–Julian Oscillation (MJO) index in order to gain new insights into the predictability of the MJO. Building on a tradition of idealized models, the model for the MJO state consists of a bivariate autoregressive process, equivalent to a finite difference approximation to a dynamical underdamped harmonic oscillator, as represented by a second order ordinary differential equation. The statistical properties of the model, namely the ensemble mean, ensemble variance, and within-ensemble correlation, are used to develop predictability time scales for canonical MJO events. We explore the model under both white noise and coloured noise forcing and the model parameters are estimated using maximum likelihood estimation, as a function of season and initial MJO event amplitude and phase. The model provides a significantly better fit using coloured noise forcing, which is equivalent to using a higher order model, indicating that the MJO index is not a simple order-1 coupled autoregressive process. Using the fitted model we map the predictability times scales for the mean, variance, and correlation as a function of initial MJO position in phase space. It is shown that the predictability time scales, and thus MJO predictability, vary as a function of MJO phase space and season which is a novel result for empirical models of the MJO. The result that MJO predictability varies with MJO state also has relevance for the interpretation of the Maritime Continent prediction barrier. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53880
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia; Department of Oceanography, Dalhousie University, Halifax, NS, Canada; Australian Research Council Centre of Excellence for Climate System Science, Hobart, TAS, Australia
Recommended Citation:
Oliver E.C.J.,Thompson K.R.. Predictability of the Madden–Julian Oscillation index: seasonality and dependence on MJO phase[J]. Climate Dynamics,2016-01-01,46(2017-01-02)