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Volcanology,
virtual community and cyberinfrastructure.
| Convenors
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Greg
A. Valentine
Email: gav4@buffalo.edu
Shinji Takarada
Email: s-takarada@aist.go.jp
Warner Marzocchi
Email: warner.marzocchi@ingv.it
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| Description |
Tens
of millions of
people around the world are at risk from volcanic eruptions. The risk
is increasing rapidly as populations grow in active volcanic regions,
and as national economies become increasingly intertwined. In addition
to their significance to risk, volcanic eruption processes form a class
of multiphase fluid dynamics with rich physics on many scales. Risk
significance, physics complexity, and the coupling of models to
complex, dynamic spatial datasets, demand the development of advanced
computational techniques and interdisciplinary approaches to understand
and forecast eruption dynamics. Innovative cyberinfrastructure is
needed to enable global collaboration and creative new science, while
simultaneously enabling computational thinking in real-world risk
mitigation decisions . an environment where quality control,
documentation, and traceability are key.
The goal of this session is to discuss needs and solutions that can be
addressed through a global collaborative online environment such as the
recently initiated VHub effort (see "http://geohazards.buffalo.edu/VHub/"),
GEO Grid, and others. In particular, we are interested in presentations
and discussions around, but not limited to, the following themes:
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Dissemination.
Make
advanced modeling and simulation capabilities and key data sets readily
available to researchers, students, and practitioners around the world.
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Collaboration.
Provide
a mechanism for participants not only to be users but also
co-developers of modeling capabilities and
validation/verification/benchmarking methods, and contributors of
experimental and observational data sets for use in modeling and
simulation, in a collaborative environment that reaches far beyond
local work groups.
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Comparison.
Facilitate
comparison between different models in order to provide the
practitioners with guidance for choosing the "right" model, depending
upon the intended use, and provide a platform for multi-model analysis
of specific problems and incorporation into probabilistic assessments.
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Application.
Greatly
accelerate access and application of a wide range of modeling tools and
related data sets to agencies around the world that are charged with
hazard planning, mitigation, and response.
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Education.
Provide
resources that will promote the training of the next generation of
volcanologists and hazards specialists such that modeling and
simulation form part of a tripartite foundation of approaches,
alongside observational data and experimentation.
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