SPMCP model and its application to prediction of rainfall intensity index for rainy season
Xia Le-tian
Abstract
Xia Le-tian
Abstract
In consideration of the uncertainty and inaccuracy of precipitation process in the rainy season,a classification standard for rainfall intensity index of the rainy season was established by use of the sequential cluster method.Based on state of rainfall intensity index for the rainy season of North China from 1951 to 1994,the state of the index of North China for 1995 and 1996 was predicted by use of SPMCP model.The results show that SPMCP model is simple and accurate in calculation,and it provides a new way to predict the state of rainfall intensity index for the rainy season.
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In consideration of the uncertainty and inaccuracy of precipitation process in the rainy season,a classification standard for rainfall intensity index of the rainy season was established by use of the sequential cluster method.Based on state of rainfall intensity index for the rainy season of North China from 1951 to 1994,the state of the index of North China for 1995 and 1996 was predicted by use of SPMCP model.The results show that SPMCP model is simple and accurate in calculation,and it provides a new way to predict the state of rainfall intensity index for the rainy season.
Key concepts: Wet season, Precipitation, Intensity (physics), Index (typography), Climatology, Environmental science, China, Meteorology