Investigations on the Implementation of an Acoustic Rain Sensor System

The most common method for measuring precipitation is based on the collection of rain in a defined container, where the amount of water accumulated is read off after a time interval. A major disadvantage of this method is that the rainfall amounts measured in this way always represent an average over time, and do not provide data on the course of precipitation with high temporal resolution. Since time immemorial, meteorological elements have been described colloquially by their generated sounds. The aim of this study is the implementation of an acoustic rain sensor. For this purpose, acoustic data were generated in a laboratory setup by a simplified sprinkler system, with which a machine learning algorithm was trained.