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A systematic analysis of multiscale deep convective variability over the tropical Pacific

 

 

Wen-wen Tung

NCAR MMM

 

 

The multiscale tropical deep convective variability over the Pacific Ocean is examined with the 4-month high-resolution deep convection index derived from satellite imagery. With a systemic view, the complex phenomenon is described with succinct parameters known as "generalized dimensions" associated with the correlation structures embedded in the observed time series, with higher-order dimensions emphasizing extreme convective events. It is suggested that convective activities of lifetime ranging from 1 hour to ~ 21days have interdependence across scales that can be described by a series of power laws, hence a spectrum of generalized dimensions. Furthermore, the dataset has the property of long-range dependency", implying that its auto-correlation function decays with a power law in contrast to the zero or exponentially decaying auto-correlation functions for white and commonly-used red noise processes generated from auto-regressive models. Physically, this means that intensified convection tends to be followed by another intensified event, and vice versa for weakened events or droughts. Such tendency is stronger with larger horizontal domain averaging (up to 25 x 25 degrees in this study), probably due to more complete inclusion of larger-scale variability that has more definite trends, such as the super-cloud clusters associated with the Madden-Julian oscillation (MJO).

Thursday , 28 October 2004, 3:30 PM

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