- Planetary scale simulation.
- numerical models of ocean, atmosphere,
sea-ice, land-surface, mantle and crustal dynamics.
- Constrained optimization of geophysical
fluids problems.
- solving for physical and biogeochemical
parameters.
- Model and data synthesis.
- combining models with in-situ and remote
sensed data to monitor and understanding planetary processes.
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- Cluster and grid computing
- robust middleware, heterogeneous computing
- Responsive user-oriented,
high-performance computing.
- scalable algorithms and software systems,
desktop productivity and HPC integration, parallel Matlab.
- Automation of tools and techniques for high-dimensional
systems.
- CPDN client and server, application of web-service
technologies.
- Integrated compute-laboratory teaching
and research test-bed
for planetary scale simulation tools.
- sensor and simulation integration
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