Abstract
In recent years, we have witnessed an unprecedented rise in localized severe weather phenomena, such as tornadoes and heavy rain, that are not predictable by conventional weather forecasting systems. In spite of this, there are few observation posts for forecasting tornadoes and heavy rain. It is necessary to srastically increase such observation points in order to make accurate predictions using real data. We have developed a compact and low-cost pressure information acquisition system to detect signs of localized abnormal weather. This research proposes an algorithm to predict local weather by detecting anomalous pressure values in the time series of the pressure sensor information and to notify users of impending dangerous weather conditions.
