Research Summaries

Back Collaborative Research: Non-Assimilation Fusion Data and Models

Fiscal Year 2014
Division Graduate School of Engineering & Applied Science
Department Oceanography
Investigator(s) Ivanov, Leonid M.
Sponsor National Science Foundation (NSF)
Summary The primary goal is to develop an innovative approach for representation and manipulation of data uncertainty and model error, and to use this approach for effective fusion of ocean data and model outputs in multiple metrics. This should lead to improved ocean state estimation and forecasting. Fuzzy logic is a key to understanding and quantifying the uncertainty and error, as well as to developing a fusion process.
Keywords
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