A Fuzzy-Based Four-Dimensional Data Assimilation Algorithm for Comprehensive Ocean Observation Information System

摘要

Comprehensive Ocean Observation Information Systems (COOIS) comprises a massive and complex resource data, which is vital to an increasingly important application of Integrated Intelligent Ocean Information Management System (IIOIMS). IIOIMS is just complex, but uses a holistic approach to deal with the sophistication. The application domain and its resource require a tool of matching characteristics, which is facilitated by the current wide availability of high performance computing. In this paper, we first build the COOIS network and experimental platform to aggregate the comprehensive ocean observation information. Then, we present a fuzzy-based data assimilation framework and its algorithm for doing with the sophistication of COOIS. Data assimilation is widely applied for those different type data, but we firstly propose to solve this problem with fuzzy set.Theoretically, this will efficiently reduce the complexity and enhance the accuracy and utility of COOIS. Finally, we provide a demonstrated example to demonstrate the efficiency of the fuzzy-based data assimilation algorithm.