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Model and Data Hierarchies for Simulating and Understanding Climate
March 8 - June 11, 2010
Organizing Committee |
Activities |
Scientific Overview
Participation |
Application |
Contact Us
Organizing Committee
Amy Braverman
(Jet Propulsion Laboratory)
Rupert Klein
(Freie Universität Berlin, Mathematics)
Andrew Majda
(New York University, Courant Institute of Mathematical Sciences)
Olivier Pauluis
(New York University, Courant Institute of Mathematical Sciences)
Bjorn Stevens
(Max Planck Institute for Meteorology)
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Activities
There will be an active program of research activities,
seminars and workshops throughout the March 8 - June 11, 2010 period and core
participants will be in residence at IPAM continuously for these fourteen
weeks. The program will open with tutorials, and will be punctuated by four
major workshops and a culminating workshop at UCLA’s Lake Arrowhead
Conference Center. Several distinguished senior researchers will be in
residence for the entire period. Between the workshops there will be a
program of activities involving the long-term and short-term participants,
as well as visitors.
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Scientific Overview
Simulation has greatly advanced climate science, but not sufficiently to the profit of theory and understanding. How can simulation better advance climate /science/ and what mathematical issues does this raise?
Our hypothesis is that the development of climate science (i.e., theory and understanding) will be best served by focusing computational and intellectual resources on model and data hierarchies. Where “model and data hierarchies” refer to successively more complex models, or data structures, and the relations among them. Classic examples are the equations that emerge at different order in an asymptotic expansion; or microscopic, mesoscopic, macroscopic representations of systems that emerge in statistical physics and material science. In the atmosphere/ocean system such approaches lead to familiar families of equation sets used to explore specific phenomena, and the statistical theories (parameterizations) used to close the systems which emerge at different orders; but such ideas are also relevant to the data used to test such systems.
By bringing together physicists, mathematicians, statisticians, engineers and climate-scientists, and focusing on several themes that reach across scales and scientific methodologies, our program will provide a framework for advancing our use of hierarchical methods in our attempt to understand the climate system. In addition to tutorials and a summary workshop; the program will tie together four week-long workshops addressing specific currents in the broader stream of ideas: Equation Hierarchies; Numerical Hierarchies; Simulation Hierarchies; and Data Hierarchies.
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Participation
This long-term program will involve a community of senior and junior researchers.
The intent is for participants to learn about new mathematical developments in the area
of simulating and understanding climate, to meet a diverse group of people, and have ample
opportunities to form new collaborations. In addition to these activities, there will be
opening tutorials, four workshops, and a culminating workshop at Lake Arrowhead.
Full and partial support for long-term participants is
available, and those interested are encouraged to fill out an online
application at the bottom of this page. Support for individual workshops
will also be available, and may be applied for through the online
application for each workshop. We are especially interested in applicants
who are interested in becoming core participants and participating in the
entire program (March 8 - June 11, 2010), but give consideration to applications
for shorter periods. Funding for participants is available at all academic
levels, though recent PhD's, graduate students, and researchers in the early
stages of their career are especially encouraged to apply.
Encouraging the careers of women and minority mathematicians and
scientists is an important component of IPAM's mission and we welcome their
applications.
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Confirmed Participants
Maarten Arnst, University of Southern California (USC)
Jorge Balbas, California State University, Northridge (CSU Northridge)
Alethea Barbaro, University of California, Los Angeles (UCLA)
Werner Bauer, Max-Planck-Institut für Meteorologie
Banu Baydil, Rensselaer Polytechnic Institute
Jörn Behrens, Universität Hamburg
Steven Böing, Technische Universiteit te Delft
Luca Bonaventura, Politecnico di Milano
Simona Bordoni, California Institute of Technology
Amy Braverman, Jet Propulsion Laboratory
Franco Catalano, Università di Roma “La Sapienza”
Maud Comboul, University of Southern California (USC)
Tim Conrad, Freie Universität Berlin
Anthony Davis, Jet Propulsion Laboratory
Peter Düben, Max-Planck-Institut für Meteorologie
Christian Franzke, Britain Antarctic Survey
Yevgeniy Frenkel, New York University
Dargan Frierson, University of Washington
Dimitrios Giannakis, New York University
Marco Giorgetta, Max-Planck-Institut für Meteorologie
Ken Golden, University of Utah
Shivasubramanian Gopalakrishnan, Naval Postgraduate School
Ying Han, University of Victoria
Gerardo Hernandez-Duenas, University of Michigan
Sabine Hittmeir, Technische Universität Wien
Shen-Shyang Ho, California Institute of Technology
Illia Horenko, University of Lugano
Tobias Hundertmark, Universität Potsdam
Yen-Ting Hwang, University of Washington
Christiane Jablonowski, University of Michigan
Keith Julien, University of Colorado, Boulder
Olga Kaiser, University of Lugano
James Kelly, Naval Postgraduate School
Boualem Khouider, University of Victoria
Marc Kjerland, University of Illinois at Chicago
Rupert Klein, Freie Universität Berlin
Daniel Klocke, Max Planck Institute for Meteorology
Luis Kornblueh, Max Planck Institute for Meteorology
Frank Kwasniok, University of Exeter
David Levermore, University of Maryland
Leonidas Linardakis, Max-Planck-Institut für Meteorologie
Andrew Majda, New York University
Simone Marras, Universitat Politécnica de Catalunya
Jonathan Mitchell, Institute for Advanced Study
Mark Nakamura, University of California, Los Angeles (UCLA)
Maryam Namazi, University of Victoria
Louise Nuijens, University of California, Los Angeles (UCLA)
Ole Peters, Imperial College
Robert Pincus, University of Colorado, Boulder
Hanna Plotka, University of St. Andrews
Annick Pouquet, National Center for Atmospheric Research
Amber Puha, Institute for Pure and Applied Mathematics
Sebastian Reich, Universität Potsdam
Ian Ross, University of Victoria
Susana Serna, Autonomous University of Barcelona
Seol Eun Shin, Universität Potsdam
Pier Siebesma, KNMI
Sam Stechmann, University of California, Los Angeles (UCLA)
Bjorn Stevens, Max Planck Institute for Meteorology
Edriss Titi, University of California, Irvine (UCI)
Lorenzo Tomassini, Max-Planck-Institute for Meteorology
Till Wagner, University of Cambridge
Hui Wan, Max-Planck-Institut für Meteorologie
Adrean Webb, University of Colorado, Boulder
Kai Zhang, Max-Planck-Institut für Meteorologie
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Contact Us:
Institute for Pure and Applied Mathematics (IPAM)
Attn: CL2010
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website:
http://www.ipam.ucla.edu/programs/cl2010/
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