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arXiv · 1805.01957

Systematic Study of Weather Variables for Rainfall Detection

Shilpa Manandhar·Soumyabrata Dev·Yee Hui Lee·Stefan Winkler·Yu Song Meng
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Abstract

Numerous weather parameters affect the occurrence and amount of rainfall. Therefore, it is important to study these parameters and their interdependency. In this paper, different weather and time-related variables -- relative humidity, solar radiation, temperature, dew point, day-of-year, and time-of-day are analyzed systematically using Principal Component Analysis (PCA). We found that four principal components explain a cumulative variance of 85%. The first two principal components are applied to distinguish rain and no-rain scenarios as well. We conclude that all 7 variables have similar contribution towards rainfall detection.

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Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee, Stefan Winkler, Yu Song Meng. 2018-05-04. Systematic Study of Weather Variables for Rainfall Detection. https://arxiv.org/abs/1805.01957

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