Yu, M.; Feng, S., and Yang, Y., 2019. Combined prediction method of marine rainfall with different duration based on mathematical probability and statistics. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 381–387. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the monitoring and management ability of marine rainfall in different duration, it is necessary to predict the ocean rainfall flow in different duration, and a combined forecasting method of marine rainfall based on mathematical probability and statistical analysis is proposed. The statistical analysis model of big data for different diachronic ocean rainfall combinations is constructed. The fuzzy state monitoring method is used to detect the state distribution of marine rainfall flow in different duration, the mathematical probability and statistical characteristics of different diachronic marine rainfall combinations are extracted, and the mathematical probability statistical distribution expression information of different duration marine rainfall information is analyzed. The mathematical probability density characteristic detection method is used to cluster analysis of marine rainfall flow in different duration, and the fuzzy adaptive scheduling method is used to realize the combined prediction of marine rainfall in different duration. The simulation results show that the method has high accuracy and good adaptability to marine climate and environment.