[please add your name in alphabetical order, and include a sentence or two about your research interests]

Farid Ait Chaalal is a postdoctoral scholar working with Prof. Brad Marston (Brown) and Prof. Tapio Schneider (Caltech) on developing turbulent closures for large-scale atmospheric dynamics.

Hannah Arnold is a second year PhD student at the University of Oxford, working with Tim Palmer and Irene Moroz. She is interested in representing model uncertainty due to sub grid-scale parametrisations in atmospheric models, and has been comparing stochastic and perturbed parameter approaches.

Sasha Balk (University of Utah) is interested in the extra conservation for Rossby waves and its connection to the formation of zonal jets in geophysical and plasma dynamics.

James Cho is interested in studying waves and flows on or in planets, stars, and disks.

Nick Cowanis an astronomer studying the climate on exoplanets. This mostly entails observing short-period giant planets ("hot Jupiters") with the Spitzer Space Telescope but he also thinks about how next-generation space missions will be able to constrain the climate of temperate rocky planets. In general he worries about the "inverse problem:" what can disk-integrated observations of a planet tell us about its spatial inhomogeneities?

Frank Kwasniok is interested in the application of mathematical and statistical methods, in particular dynamical systems approaches, in weather and climate science. Research activities include: stochastic subgrid modeling; nonlinear stochastic low-order models of atmospheric low-frequency variability; statistics, prediction and predictability of extremes in the extratropical atmospheric circulation; analysis and modeling of glacial climate transitions with simple dynamical systems.

Balu Nadiga: Interests: Fluid dynamics and geophysical fluid dynamics; dynamical systems approaches to large systems and data assimilation; ocean dynamics and modeling
More to the point, from the point of view of stochastic modeling it is natural to think of diagnosing properties of subgrid terms by comparing runs at different resolutions. We do this in this and use it to drive the lower resolution run. While the large scale behavior of the higher resolution can be recovered, this behavior is not robust and the benefits of such a stochastic parameterization could be less than anticipated.
Subgrid and stochastic parameterization work
Deterministic parameterization work
Alternating jets in oceans

Juan M. Restrepo works on wave/current interactions, including stochastic parametrization of breaking waves, ocean climate, nonlinear/non-Gaussian data assimilation strategies. He is the group leader of the Uncertainty Quantification Group, at The University of Arizona. He has worked in biomechanics, sediment dynamics, computational science, and voting. Presently he is working on oil spill dynamics as well as in non-parametric tendency techniques for data analysis.

Daniel Schertzer is interested by the analysis and simulation of the extreme variability of geophysical fields over a wide range of scales, in particular dynamics, temperatures, clouds and precipitations. This is achieved in the framework of multifractals and generalized scale invariance, They respectively enables to take into account the strong intermittency (non gaussian statistics, including fat tailed pdf) and the ubiquitous anisotropy.

Lev Tarasovis interested in large space-time scale earth systems modelling with a focus on model calibration (and methodologically related state space estimation), uncertainty quantification, and glacial ice and climate interactions He is also trying to figure out how to create a joint probability distribution for a hierarchy of climate models.

Nathan Urban is a scientist at Los Alamos National Laboratory. He is interested in probabilistic climate prediction using perturbed physics ensembles, statistical estimation of reduced-form stochastic climate models from observational or simulation data, and multiscale approaches to sub-grid scale numerical model parameterizations. He will be attending June 11-15 and June 22.

Jin-Song von Storch is interested in small-scale features simulated by high-resolution climate models (e.g. mesoscale eddies in the ocean) and their impact on large-scale circulations.

Hans von Storch is a director of the Institute for Coastal Research of the Helmholtz Center Geesthacht and professor at the Meteorological Institute of the University of Hamburg. His research interests are coastal climate and impact (wind, storm surges and waves) in recent times and in possible futures, and methodical issues of statistical climatology (such as detection and attribution of anthropogenic climate change, or utility of proxy data). He is also engaged in transdisciplinary research with social and cultural scientists since many years.
Relevant books:
MÃ¼ller, P., and H. von Storch, 2004: Computer Modelling in Atmospheric and Oceanic Sciences - Building Knowledge. Springer Verlag Berlin - Heidelberg - New York, 304pp, ISN 1437-028X
von Storch, H., and F.W. Zwiers, 2002: Statistical Analysis in Climate Research. Cambridge University Press, ISBN 0-521-01230-9, 494 pp.

Farid Ait Chaalal is a postdoctoral scholar working with Prof. Brad Marston (Brown) and Prof. Tapio Schneider (Caltech) on developing turbulent closures for large-scale atmospheric dynamics.

Hannah Arnold is a second year PhD student at the University of Oxford, working with Tim Palmer and Irene Moroz. She is interested in representing model uncertainty due to sub grid-scale parametrisations in atmospheric models, and has been comparing stochastic and perturbed parameter approaches.

Nikos Bakas is interested in the self-organization of turbulence into large scale jets (or for the latest look here ) and coherent vortices using the tools of Stochastic Structural Stability Theory. He is also interested in gravity wave dynamics (their spontaneous generation , their effect on the mean flow , as well as their role in shear instability ) .

Sasha Balk (University of Utah) is interested in the extra conservation for Rossby waves and its connection to the formation of zonal jets in geophysical and plasma dynamics.

James Cho is interested in studying waves and flows on or in planets, stars, and disks.

Nick Cowanis an astronomer studying the climate on exoplanets. This mostly entails observing short-period giant planets ("hot Jupiters") with the Spitzer Space Telescope but he also thinks about how next-generation space missions will be able to constrain the climate of temperate rocky planets. In general he worries about the "inverse problem:" what can disk-integrated observations of a planet tell us about its spatial inhomogeneities?

Frank Kwasniok is interested in the application of mathematical and statistical methods, in particular dynamical systems approaches, in weather and climate science. Research activities include: stochastic subgrid modeling; nonlinear stochastic low-order models of atmospheric low-frequency variability; statistics, prediction and predictability of extremes in the extratropical atmospheric circulation; analysis and modeling of glacial climate transitions with simple dynamical systems.

Brad Marston develops direct statistical simulations of geophysical and astrophysical flows (stochastic or deterministic).

Balu Nadiga: Interests: Fluid dynamics and geophysical fluid dynamics; dynamical systems approaches to large systems and data assimilation; ocean dynamics and modeling

More to the point, from the point of view of stochastic modeling it is natural to think of diagnosing properties of subgrid terms by comparing runs at different resolutions. We do this in this and use it to drive the lower resolution run. While the large scale behavior of the higher resolution can be recovered, this behavior is not robust and the benefits of such a stochastic parameterization could be less than anticipated.

Subgrid and stochastic parameterization work

Deterministic parameterization work

Alternating jets in oceans

Juan M. Restrepo works on wave/current interactions, including stochastic parametrization of breaking waves, ocean climate, nonlinear/non-Gaussian data assimilation strategies. He is the group leader of the Uncertainty Quantification Group, at The University of Arizona. He has worked in biomechanics, sediment dynamics, computational science, and voting. Presently he is working on oil spill dynamics as well as in non-parametric tendency techniques for data analysis.

Daniel Schertzer is interested by the analysis and simulation of the extreme variability of geophysical fields over a wide range of scales, in particular dynamics, temperatures, clouds and precipitations. This is achieved in the framework of multifractals and generalized scale invariance, They respectively enables to take into account the strong intermittency (non gaussian statistics, including fat tailed pdf) and the ubiquitous anisotropy.

Lev Tarasovis interested in large space-time scale earth systems modelling with a focus on model calibration (and methodologically related state space estimation), uncertainty quantification, and glacial ice and climate interactions He is also trying to figure out how to create a joint probability distribution for a hierarchy of climate models.

Nathan Urban is a scientist at Los Alamos National Laboratory. He is interested in probabilistic climate prediction using perturbed physics ensembles, statistical estimation of reduced-form stochastic climate models from observational or simulation data, and multiscale approaches to sub-grid scale numerical model parameterizations. He will be attending June 11-15 and June 22.

Jin-Song von Storch is interested in small-scale features simulated by high-resolution climate models (e.g. mesoscale eddies in the ocean) and their impact on large-scale circulations.

Hans von Storch is a director of the Institute for Coastal Research of the Helmholtz Center Geesthacht and professor at the Meteorological Institute of the University of Hamburg. His research interests are coastal climate and impact (wind, storm surges and waves) in recent times and in possible futures, and methodical issues of statistical climatology (such as detection and attribution of anthropogenic climate change, or utility of proxy data). He is also engaged in transdisciplinary research with social and cultural scientists since many years.

Relevant books:

MÃ¼ller, P., and H. von Storch, 2004:

Computer Modelling in Atmospheric and Oceanic Sciences - Building Knowledge.Springer Verlag Berlin - Heidelberg - New York, 304pp, ISN 1437-028Xvon Storch, H., and F.W. Zwiers, 2002:

Statistical Analysis in Climate Research. Cambridge University Press, ISBN 0-521-01230-9, 494 pp.Paul Williams is interested in small-scale features in the atmosphere and ocean (including gravity waves and clear-air turbulence) and how to model them (including stochastically).