Du, H. and Lv, T., 2019. Dynamic updating algorithm of temporal oriented marine climate database. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 518–523. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the information management ability of marine climate data, a dynamic updating model of temporal oriented marine climate database is constructed, and a dynamic updating method of temporal oriented marine climate database based on association rule feature decomposition and marine climate data integration fusion technology is proposed. The temporal oriented marine climate database is collected by using the method of Internet of things networking and sensor node networking, and the dynamic updating and fusion of temporal oriented marine climate database information is carried out by using the distributed phase space recombination method, and the statistical features of temporal oriented marine climate database are extracted, and the similarity model of large scale temporal oriented marine climate database feature distribution is formed. The machine learning method is used to carry out the fuzzy iteration of temporal marine climate database, and the piecewise linear test and statistical regression analysis method are used to realize the quantitative recurrent analysis of temporal oriented marine climate database, and the dynamic updating and feature reconstruction of temporal oriented marine climate database are carried out in the recurrent graph. The simulation results show that the dynamic updating of temporal oriented marine climate database is stable and the degree of information fusion is good.