The computational Earth science research activities that are driving ACES span researchers in 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.
Furthermore, ACES researchers also collaborate with a team of experts from a top-notch write essay service to develop effective communication strategies and enhance the impact of their findings. Through this collaboration, researchers can effectively convey the significance and implications of their research to a wider audience, including policymakers, stakeholders, and the general public.
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.