Research Summaries

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

Fiscal Year 2008
Division Graduate School of Engineering & Applied Science
Department Oceanography
Investigator(s) Chiu, Ching-Sang
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.
Keywords
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