Research Summaries

Back Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observation, Adaptive Sampling, and Numerical Prediction

Fiscal Year 2007
Division Graduate School of Engineering & Applied Science
Department Oceanography
Investigator(s) Ramp, Steven
Sponsor Office of Naval Research (Navy)
Summary The recent proliferation of unmanned air and undersea vehicles has spawned a research issue of pressing importance, namely: how does one deploy and utilize these vehicles most efficiently to sample the ocean, assimilate the data into numerical models in real or near-real time, and predict future conditions with minimal error? Implementation of an appropriate sampling plan requires an assessment of the initial oceanographic situation, understanding the capabilities and limitations of individual vehicles, vehicle coordination and control, and numerical models equipped to assimilate and utilize data which was irregularly sampled in space and time. These questions will be addressed by a mutli-disciplinary team consisting of physical oceanographers, acousticians, dynamicists and control systems engineers, communications experts, and numerical modelers. The operational principals thus derived are portable and relevant to a wide variety of space and time scales.
Keywords Coastal Oceanography Model Development MURI
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal