In this paper we presents an integrated approach to simultaneous forecasting for the 160 precipitation series distributed on mainland China.A forecasting model has been established by combining powerfull methods in multivaraiate analysis and random time series analysis.The forecasting results are good,Our problem is one of developing a computationally tractable model on personal computers for the simultaneous forecasting of the 160 precipitation series,Cluster-ing method is applied to classify the 160 precipitation series into locally similar subgroups.The classification so obtained resembles those obtained by most famous Chinese scientists.A princi-pal component series reserving the periodic characteristics of each subgroup can then be extract-ed by data suppression method,allowing a considerable reduction of computational burden with relatively small loss of prediction precision. One year ahead prediction by our model shows promising results.
Wang Yongxian
, Zhan Yihui
, Zhang Shaohong. , {{custom_author.name_en}}.
Clustering Analysis and Prediction for Precipitation Time Series. Systems Engineering - Theory & Practice, 1994, 14(11): 67-71 https://doi.org/10.12011/1000-6788(1994)11-67