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Advances in nonlinear dynamics, especially modern multifractal cascade models, allow us to investigate the weather and climate at unprecedented levels of accuracy. Using new stochastic modelling and data analysis techniques, this book provides an overview of the nonclassical, multifractal statistics. By generalizing the classical turbulence laws, emergent higher-level laws of atmospheric dynamics are obtained and are empirically validated over time-scales of seconds to decades and length-scales of millimetres to the size of the planet. In generalizing the notion of scale, atmospheric complexity is reduced to a manageable scale-invariant hierarchy of processes, thus providing a new perspective for modelling and understanding the atmosphere. This new synthesis of state-of-the-art data and nonlinear dynamics is systematically compared with other analyses and global circulation model outputs. This is an important resource for atmospheric science researchers new to multifractal theory and is also valuable for graduate students in atmospheric dynamics and physics, meteorology and oceanography.
Table of Contents
Classical turbulence - modern evidence
Scale by scale simplicity: an introduction to multiplicative cascades
Empirical analysis of cascades in the horizontal
Cascades, dimensions and codimensions
Vertical stratification and anisotropic scaling
Generalized scale invariance and cloud morphology
Space-time cascades and the emergent laws of the weather
Causal space-time cascades: the emergent laws of waves, predictability and forecasting
The emergent laws of low frequency weather and the climate
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