Convective parameterization is the long-lasting bottleneck of global climate modelling and
one of the most difficult problems in atmospheric sciences. Uncertainty in convective …

The concept of convective quasi‐equilibrium (CQE) is a key ingredient in order to
understand the role of deep moist convection in the atmosphere. It has been used as a …

A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics in: Journal
of the Atmospheric Sciences Volume 65 Issue 1 (2008) Jump to Content Jump to Main …

The only integrative approach to chaos and random fractal theory Chaos and random fractal
theory are two of the most important theories developed for data analysis. Until now, there …

Convective Available Potential Energy (CAPE) and Convective Inhibition (CIN) play a
dominant role in convective precipitation, its genesis and intensity. A global climatology of …

Recent work has shown that observations of tropical precipitation conform to properties
associated with critical phenomena in other systems. Here some of these universal …

For the first time, a stochastic deep convective parameterization to represent variability
arising from small‐scale processes that are unresolved by traditional deterministic moist …

Global power law scaling of near surface temperature spectra is determined in two scenario
simulations and in NCEP re‐analyses. The simulations use the coupled atmosphere‐ocean …

Convective quasi-equilibrium (QE) has for several decades stood as a key postulate for
parametrization of the impacts of moist convection at small scales upon the large-scale flow …

Convective available potential energy (CAPE), frequently regarded as an indicator of the
potential intensity of deep convection, is strongly controlled by the properties of the planetary …