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   Sponsors    Workshop    Boulder     | 
   
      | The Institute for Mathematics
         Applied to Geosciences 
         Theme for 2006: Emerging Mathematical Strategies for
 Multi-Scale and Stochastic Modeling of the Atmosphere and
         Climate
 |   |  T-O-Y 2006 Workshops Plan
       Four interdisciplinary one-week 
       workshops during Fall Spring 2005-2006 with both a tutorial 
       research/expository component for two days and a contemporary 
       research component for the last three days.
        Workshop III. Stochastic and Statistical Parameterization of Unresolved Features in the Atmosphere and Upper Ocean.
 
 27 February - 3 March 2006; Boulder, COVenueThe workshop will be held at the National Center for 
       Atmospheric Research's Mesa Laboratory Main Seminar Room located 
       in the foothills above beautiful Boulder, Colorado. 
       Atmospheric Science Topics:
        Applied Math Topics:Stochastic and/or statistical parameterization of 
               convection, orography, surface fluxes, etc.Low order stochastic models for low frequency variablityPinning parameters in parameterization through contemporary 
               data assimilation strategies
 Systematic strategies for stochastic mode reductionNovel coarse gaining strategies using coupled birth death processesBayesian hierarchical statistical models for parameterizations
 Participation and SupportFunding is available to support attendance with special emphasis 
       given to graduate students and other young researchers.  Researchers 
       who are not working directly on the workshop topics, yet have an 
       interest in the program, are also encouraged to apply, as are 
       members of under-represented groups.Registration deadline for financial support is 
       23 January 2006.
 Registration to attend the workshop is 
       25 February 2006
       .
 
       Walk-Ins Welcome!
        Application Procedures for financial supportA letter of application stating your research interests is 
       required.  If a graduate student, please include a description 
       of relevant coursework and training, CV, and short letter of 
       recommendation from a faculty advisor. Tentative Workshop Speakers 
       Jeff Anderson, NCARJudith Berner, ECMWF
 Grant Branstator, NCAR
 Daan Crommelin, Courant Institute of Mathematical Sciences
 Christian Franzke Courant Institute of Mathematical Sciences
 Jorgen Frederiksen, CSIRO
 David Holland, Courant Institute of Mathematical Sciences
 Markos Katsoulakis, University of Massachusetts
 Boualem Khouider, University of Victoria
 Sergey Kravtsov, University of Wisconsin
 Adam Monahan, University of Victoria
 Paul Roundy, NOAA/CIRES/AL
 Prashant Sardeshmukh, NOAA/CIRES
 Ilya Timofeyev, University of Houston
 Bruno Tremblay, Lamont-Doherty Earth Observatory
 Eric Vanden-Eijnden, Courant Institute of Mathematical Sciences
 Chris Wikle, University of Missouri
 
 Organizing Committee
 The Institute for Mathematics Applied to Geosciences 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 (nychka .at. ucar .dot. edu). 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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