The computational Earth science research activities
that are driving ACES span
MIT's Computer Science and Artificial Intelligence Laboratory,
MIT's Math Department and
MIT's Earth Atmospheric and Planetary Sciences Department.
Themes that are driving ACES activities include:
Tools for studying non-linear and chaotic phenomona.
Many vital systems studied by planetary scientists, in disciplines as
diverse as seismic modeling to studying atmospheric convective processes,
are highly non-linear. Large scale computational resources are a powerful
tool for studying such systems and are used for evaluating theories about
rate limiting processes, dominant term balances, historical and
future behavior and overall system characteristics.
Systems for synthesis of observational data and numerical simultaions.
Increasingly planetary scientists have access to rich data-streams from
remote-sensing or in-situ devices. Creating a synthesised picture
of the three-dimensional, time-evolving state of the planet requires
rigourously combining observational data-streams with numerical models
of system behavior.
Examples of specific computational science activities in ACES that
impact these themes include.