Table of Contents
Atmosphere, Volume 10, Issue 5 (May 2019)
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Cover Story (view full-size image) Machine learning methods offer solutions for many classification problems. They provide a [...] Read more. Machine learning methods offer solutions for many classification problems. They provide a straightforward solution to classifying rain based on its microstructure, given that a training dataset is available. Five machine learning classification methods were built using a different number of rain microstructure parameters. Four parameters were enough to achieve high classification performance. The performance significantly exceeded that of simple dual parameter classification methods that are based on other disdrometer types. The methodology is expected to achieve high performance regardless of the type of the disdrometer. However, this is governed by the quality of the training dataset. View this paper.