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- D Dolgopyat, U Maryland, G Gallavotti, U Rome, Italy, O Lanford +19 others
- 2004

The aim of this Workshop is to promote interdisciplinary discussion among researchers working in areas related to dynamics, chaos and their applications. New results will be presented. It is our intention that the talks be accessible to a wide audience. We are inviting and expect a diverse audience with ample time for scientific exchanges.

- Peter Constantint, Andrew J Majda, Esteban Tab
- 2002

The formation of smng and potentially singular fronts in a two-dimensional quasi-geostrophic active scalar is studied here through the symbiotic interaction of mathematical theory and numerical experiments. This active scalar represents the temperature evolving on the two dimensional boundary of a rapidly rotating half space with small Rosshy and Ekman… (More)

- A Bourlioux, A J Majda
- 2002

The single-point probability distribution function ͑PDF͒ for a passive scalar with an imposed mean gradient is studied here. Elementary models are introduced involving advection diffusion of a passive scalar by a velocity field consisting of a deterministic or random shear flow with a transverse time-periodic transverse sweep. Despite the simplicity of… (More)

- Andrew J Majda, Xiaoming Wang
- 2005

general area of geophysical fluid mechanics is truly interdisciplinary. Ideas from statistical physics are now being applied in novel ways to inhomogeneous complex systems such as atmospheres and oceans. In this book, the basic ideas of geophysics, probability theory, information theory, nonlinear dynamics, and equilibrium statistical mechanics are… (More)

- A J Majda, D W Mclaughlin, E G Tabak, Stephen Wiggins
- 1997

A family of one-dimensional nonlinear dispersive wave equations is introduced as a model for assessing the validity of weak turbulence theory for random waves in an unambiguous and transparent fashion. These models have an explicitly solvable weak turbulence theory which is developed here, with Kolmogorov-type wave number spectra exhibiting interesting… (More)

The filtering skill for turbulent signals from nature is often limited by model errors created by utilizing an imperfect model for filtering. Updating the parameters in the imperfect model through stochastic parameter estimation is one way to increase filtering skill and model performance. Here a suite of stringent test models for filtering with stochastic… (More)

- J Harlim, A J Majda
- 2008

An important emerging scientific issue is the real time filtering through observations of noisy signals for nonlinear dynamical systems as well as the statistical accuracy of spatio-temporal discretizations for filtering such systems. From the practical standpoint, the demand for operationally practical filtering methods escalates as the model resolution is… (More)

Recent observational analysis reveals the central role of three multicloud types, congestus, stratiform, and deep convective cumulus clouds, in the dynamics of large-scale convectively coupled Kelvin waves, westward propagating two-day waves, and the Madden–Julian oscillation. A systematic model convective pa-rameterization highlighting the dynamic role of… (More)

A multiscale model of the MJO is developed here that accounts, in a simplified fashion, for both the upscale transfer from synoptic to planetary scales of momentum and temperature from wave trains of thermally driven equatorial synoptic-scale circulations in a moving convective envelope as well as direct mean heating on planetary scales. This model involves… (More)

The filtering and predictive skill for turbulent signals is often limited by the lack of information about the true dynamics of the system and by our inability to resolve the assumed dynamics with sufficiently high resolution using the current computing power. The standard approach is to use a simple yet rich family of constant parameters to account for… (More)