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The Institute for Mathematics Applied to Geosciences Theme for 2007: Statistics for Numerical Models

T-O-Y 2007 Workshops Plan

Four interdisciplinary one-week workshops during Fall Spring 2006-2007 with both a tutorial research/expository component for two days and a contemporary research component for the last three days.

Financial support is available, and is intended to defray the costs for graduate students, young researchers and invited speakers. More information can be found on the registration page.

Workshop II. Application of Random Matrices Theory and Methods

7-9 May 2007; Boulder, CO

The workshop on "Application of random matrices theory and methods", May 7-9 2007 to be held at NCAR in Boulder, Colorado. This activity is jointly sponsored by the Institute for Mathematics Applied to Geosciences (IMAGe) and also Statistics and Applied Mathematical Sciences Institute as part of a focused series of workshops and other activities on new developments and theory for random matrices. Go to IMAGe Theme-of-the-Year for additional information.

This particular workshop is designed to bring together researchers in the geosciences, statisticians and applied mathematicians to understand the scientific and data issues connected with the application of random matrices to geophysical problems and to suggest new methods for representing geophysical processes. The format will highlight a small number of talks of approximately one hour and will also allow ample time for discussion. Major topics include the use of random matrix techiques in reducing the dimensional representation of space-time processes, estimating covariance matrices, and forecasting nonlinear processes.

The workshop is open to graduate students, young researchers and faculty.

Researchers in spatial statistics, climatology and data assimilation are encouraged to apply.

Venue

Invited Speakers

Caspar Ammann, NCAR
Reinhard Furrer, Colorado School of Mines
Serge Guillas, Georgia Institute of Technology
Ian Jolliffe, University of Exeter
Mikyoung Jun, Texas A&M University
Aleksey Kaplan, Columbia University
Cari Kaufman, SAMSI and NCAR
Debashis Paul, University of California, Davis
Tapio Schneider, California Institute of Technology
Steve Simon, Bell Laboratories
Chris Snyder, NCAR
Jonathan Stroud, University of Pennsylvania
Jeff Whitaker, ERSL - NOAA
Ji Zhu, University of Michigan

Organizing Committee

Thomas Bengtsson, Bell Laboratories
Peter Bickel, University of California, Berkeley
Montserrat Fuentes, North Carolina State University
Doug Nychka, NCAR

SAMSI

The Statistical and Applied Mathematical Sciences Institute (SAMSI) is a national institute whose vision is to forge a new synthesis of the statistical sciences and the applied mathematical sciences with disciplinary science to confront the very hardest and most important data- and model-driven scientific challenges. SAMSI achieves profound impact on both research and people by bringing together researchers who would not otherwise interact, and focusing the people, intellectual power and resources necessary for simultaneous advances in the statistical sciences and applied mathematical sciences that lead to ultimate resolution of the scientific challenges.

IMAGe

The Institute for Mathematics Applied to Geosciences (IMAGe) is a group within the National Center for Atmospheric Research (NCAR) for the purpose of advancing mathematical theory and its application to all facets of NCAR and the geophysical community at large. IMAGe is substantially funded by the National Science Foundation. IMAGe is composed of three groups; the Data Assimilation Research Section, the Geophysical Statistics Project, and the Turbulence Numerics Team. For more information about IMAGe, including post-doc positions, please contact Doug Nychka.

NCAR

NCAR was formed in 1960 and has a broad interdisciplinary research program involving more that 1000 employees of which several hundred hold advanced scientific or engineering degrees. The NCAR scientific program includes nearly all aspects of the atmosphere including climate and weather, atmospheric chemistry, ecology, instrumentation, scientific computing, and economic and societal impacts of atmospheric processes.

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