Systematic Study of Weather Variables for Rainfall Detection
Atmospheric and Oceanic Physics
2018-05-08 v1
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.
Keywords
Cite
@article{arxiv.1805.01957,
title = {Systematic Study of Weather Variables for Rainfall Detection},
author = {Shilpa Manandhar and Soumyabrata Dev and Yee Hui Lee and Stefan Winkler and Yu Song Meng},
journal= {arXiv preprint arXiv:1805.01957},
year = {2018}
}
Comments
Published in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018