IPAM Institute for Pure and Applied Mathematics UCLA NSF
Skip Navigation Links
Home
People
Programs
Visitors
Contact
Donate
Search
Main Page
Program Poster PDF
Lodging & Air Travel
Schedule and Presentations

Model and Data Hierarchies for Simulating and Understanding Climate

Workshop III: Simulation Hierarchies for Climate Modeling

May 3 - 7, 2010


Organizing Committee | Scientific Overview | Speaker List

Application/Registration | Contact Us

Organizing Committee

Markos Katsoulakis (University of Massachusetts Amherst, Mathematics and Statistic)
Alan Kerstein (Sandia National Laboratories)
Boualem Khouider (University of Victoria)
Olivier Pauluis (Massachusetts Institute of Technology, EAPS)
Ole Peters (Imperial College)
Pier Siebesma (KNMI, Atmospheric Research Div.)

Back to Top

Scientific Overview

Our Earth's climate system involves atmospheric processes across an enormous range of scales, ranging from the planetary to the millimeter scale. This includes not only atmospheric dynamical processes such as turbulence and convection but also the physical processes that interact with the dynamics such as clouds and radiation.

As there is no single simulation system that can incorporate the full range of all these processes, there has been a development of a variety of simulation models that attempt to describe specific sets of processes over a subset of relevant scales. These simulation techniques range from the microscale (Direct Numerical Simulation) via the mesoscale (Large Eddy and Cloud Resolving Model Simulations) to the global scale (Global Circulation Model simulations), and form a hierarchy as one attempts to include the statistical behavior of smaller scale processes in larger-scale simulation models.

The main objective of this workshop is to increase our understanding of the climate system across all these scales through developments of better consistent simulation model hierarchies. This raises questions how we can develop mean-field representations of the subgrid fine-scale, fast processes for the range of simulation models. Can these be incorporated either deterministically or stochastically, can they be made scale-adaptive, or to what extend can we employ a multi-model framework, in which high-resolution models serve as a dynamical subgrid representation embedded in a coarser grained simulation simulation. Moreover this workshop also aims exploring to what extend more simplified models and theories can be useful in reproducing, interpreting and conceptualizing the complex dynamics of the climate system. This will include models, theories and simulation techniques that have emerged from statistical physics and mathematics such as cellular automata, lattice models, percolation theory, self-organizing critical systems and dynamical systems.

Back to Top

Confirmed Speakers

Judith Berner (National Center for Atmospheric Research)
Colm Connaughton (University of Warwick)
Ronald Dickman (Federal University of Minas Gerais)
Christian Franzke (Britain Antarctic Survey)
Bernard Geurts (Universiteit Twente)
Michelle Girvan (University of Maryland)
Wojciech Grabowski (National Center for Atmospheric Research)
Hans Graf (University of Cambridge)
Christopher Jeffery (Los Alamos National Laboratory)
Henrik Jensen (Imperial College)
Harm Jonker (Technische Universiteit te Delft)
Alan Kerstein (Sandia National Laboratories)
Marat Khairoutdinov (SUNY Stony Brook)
Boualem Khouider (University of Victoria)
Bill Klein (Boston University)
Andrew Majda (Courant Institute of Mathematical Sciences)
Juan Pedro Mellado (RWTH Aachen)
Chin-Hoh Moeng (National Center for Atmospheric Research (NCAR))
J. David Neelin (University of California, Los Angeles (UCLA))
Olivier Pauluis (Massachusetts Institute of Technology)
Dave Randall (Colorado State University)
Heiko Schmidt (Freie Universität Berlin)
Axel Seifert (Deutscher Wetterdienst)
Peter Sullivan (National Center for Atmospheric Research)
Bruce Turkington (University of Massachusetts Amherst)
Eric Vanden-Eijnden (New York University)

Back to Top

Application/Registration

An application/registration form is available at:

https://www.ipam.ucla.edu/elements/choose.aspx?pc=clws3

The application part is for people requesting financial support to attend the workshop. If you don't intend to do this, you may simply register. We urge you to apply as early as possible. Applications received by March 8, 2010 will receive fullest consideration. Letters of reference may be sent to the address or email address below. Successful applicants will be notified as soon as funding decisions are made.

We have funding especially to support the attendance of recent PhD's, graduate students, and researchers in the early stages of their career; however, mathematicians and scientists at all levels who are interested in this area are encouraged to apply for funding. Encouraging the careers of women and minority mathematicians and scientists is an important component of IPAM's mission and we welcome their applications.

Back to Top

Contact Us:

Institute for Pure and Applied Mathematics (IPAM)
Attn: CLWS3
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email:
Website: http://www.ipam.ucla.edu/programs/clws3/

Back to Top

NSF Math Institutes   |   Webmaster