- Sponsors
- Workshop
- Boulder
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The Statistical and Applied Mathematical Sciences Institute
and the Institute for Mathematics Applied to Geosciences
Summer School on Fusing Geophysical Models with Data
Boulder, CO 13-17 June 2005
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Fusing Geophysical Models with Data
Boulder, CO 13-17 June 2005
The ability to combine observations with a numerical model is critical
to understanding and predicting geophysical systems like the earth's
atmosphere. This summer school will be presented by statisticians and
geophysicists who are leaders in the field of data assimilation.
By bridging the gap between basic and applied research on ensemble data
assimilation, the workshop will provide participants with an understanding
of the most recent advances and the most critical unsolved problems in
this rapidly growing field. Lectures and discussion will be supplemented
by a series of computational explorations using the Data Assimilation
Research Testbed facility at the National Center for Atmospheric Research.
By the end of the workshop, participants will be equipped with the tools
to attack the problems posed in the lectures and to undertake research in
data assimilation for a large variety of applications.
Workshop Themes
Topics include:
- Bayesian foundations of data assimilation and ensemble filtering,
- estimating parameters for large geophysical models,
- design of effective and cost-efficient observing systems, and
- data assimilation of Lagrangian observations.
Applications include:
- Climate modeling,
- weather preciction, and
- air quality.
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Workshop Plan
The workshop is scheduled for 13-17 June 2005. A specific data
assimilation problem will be the focus of each day's activities.
Morning sessions will include invited lectures from atmospheric scientists
workin on data assimilation and statisticians working on related problems.
Afternoon sessions will use computer exercises to gain enhanced
understanding of the topics presented in lecture. The afternoon sessions
will use the
Data Assimilation Research Testbed
(DART) software, developed by the NCAR
Data Assimilation Initiative
(DAI).
Organizing Committee
The Statistics and Applied Mathematical Sciences Institute (SAMSI)
is a national institute with primary funding from the
National Science Foundation.
SAMSI is a partnership between
Duke University,
North Carolina State University, the
University of North Carolina at Chapel Hill, and the
National Institute of Statistical Sciences.
Please see www.samsi.info for more
information about SAMSI. This workshop is part of the 2004-05 Program on
Data Assimilation for Geophysical Systems, and is just one of many
research activities underway at SAMSI. Those interested more broadly in
other activities within the Focused Study Program and other opportunities
for participating in SAMSI should contact Jim Berger berger .at. samsi .dot. info
The Institute for Mathematics Applied to Geosciences is a group embedded
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 Initiative,
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.
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