IMAGe research: New Algorithms, Tools, and Geophysical Models
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IMAGe staff and other collaborators
from NCAR at IMAGe's August 2006 retreat. The direction for some of the
IMAGe science programs were discussed at this retreat, and many of these
ideas were incorporated into plans for 2007 research. |
The power of mathematical science is that similar methods and models
can be used to solve problems in very different contexts. The Institute
of Mathematics Applied to Geosciences (IMAGe) was formed in October
2004 as part of the overall reorganization of NCAR to bring tools and
models to advance some of NCAR's fundemental science problems. IMAGe
also serves to introduce the mathematics community to new problems that
are posed by geophysical processes and observations. Given these goals,
IMAGe embodies the NCAR strategic priority of "Conducting research
in computer science, applied mathematics, statistics, and numerical
methods" and "Engaging a broader and more diverse community."
Some accomplishments during FY 2006 have included multi-scale models
for the complex structures produced by charged flows in a magnetic
field, statistical models for the analysis of spatial data and the
development of methods to fuse models and data that can handle errors
in the model. Each of these projects is also complemented by publically
available software that makes these advances accessible to the research
community. Another significant activity was a successful series of four
workshops on multiscale models, known as the Theme-of-the-Year (TOY),
that brought together students, faculty, and physical and mathemtical
scientists.
Some plans for FY 2007 include more extensions of adaptive alogrithms
for the simulation of magetohydrodynamical flow, the development of
spatial statistics for more than one variable at a location, and data
assimiliation methods for tracing sources and sinks of atmospheric
trace constituents. The 2007 IMAGe TOY will be on Statistics for
Computer Models. It is in partnership with the NSF Mathematics
Institute in North Carolina and will involve several numerical
modeling groups at NCAR with statisticians interested in the
design and analysis of computer experiments.
IMAGe projects and programs are supported primarily by NSF Core
funding, with other support as indicated by the individual reports
in this document.
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