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Data Assimilation Research Section Turbulence Numerics Team Geophysical Statistics Project
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The Institute for Mathematics Applied to Geosciences
Theme for 2007: Statistics for Numerical Models

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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 III. Application of Statistics to Numerical Models: New Methods and Case Studies

21-23 May 2007; Boulder, CO

This activity is jointly sponsored by the Institute for Mathematics Applied to Geosciences (IMAGe) and the 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. This specific workshop is a followup to an earlier scoping workshop convened in the Fall of 2006. Go to IMAGe Theme-of-the-Year for more information.

This particular workshop will highlight the application of design and analysis of computer experiments (DACE) to substantial numerical models for important geophysical processes. The format will include general talks on new statistical methodology for analyzing computer models and some specific cases studies with ample time for unstructured discussion and synthesis of concepts. Some statistical topics include model responses that are high dimensional, hierarchical, Bayesian approaches and connections between DACE and spatial statistics. Case studies include climate model experiments and climate change , global models for the upper atmosphere and magentoshpere, boundary layer models for understanding the atmosphere close the surface and self organizing structures in models for geophysical turbulence.


The workshop will be held at the National Center for Atmospheric Reasearch's Mesa Laboratory, Main Seminar Room,21-23 May 2007.

Invited Speakers

Howard Bondell, North Carolina State University
Mike Dowd, Dalhousie University
Serge Guillas, Georgia Institute of Technology
Jim Hack, NCAR/CGD
Joshua Hacker, NCAR/RAL
Cari Kaufman, SAMSI/NCAR
Earl Lawrence, Los Alamos National Laboratory
Fei Liu, Duke University
Jason Loeppky, University of British Columbia
Chunsheng Ma, Wichita State University
Astrid Maute, NCAR/HAO
Josh Rigler, NCAR/HAO
Elaine Spiller, SAMSI
Robert Tardif, NCAR/RAL
Guillaume Vernieres, SAMSI
Will Welch, University of British Columbia

Organizing Committee

Derek Bingham, Simon Fraser University
Montserrat Fuentes, North Carolina State University
Doug Nychka, NCAR/IMAGe
Stephan Sain, NCAR/IMAGe


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.


The Institute for Mathematics Applied to Geo sciences (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 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.