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According to the hierarchical characteristics of monthly
rainfall in different regions, the paper takes the geographical factors and
seasonal factors into the hierarchical linear model as the level effect.
Through clustering methods we select two more representative regional
meteorological data. We establish three-layer model by transforming the interactive
structure date into nested structure data. According the model theory we
perform the corresponding model calculations, optimization and analysis,
accordingly to interpret the level effects, and residual test. The results show
that most of the difference in Monthly Rainfall was respectively
explained by Variables (Meteorological factors, seasonal effects, geographic
effects) in different levels.