Abstract
In recent years localized heavy rain called guerilla heavy rain is a problem. .It is necessary to predict the occurrence of disasters caused by localized heavy rain in advance and minimize the damage by accurately grasping the situation. As one of countermeasures, phased array radars capable of measuring three dimensional raindrop distribution have been developed, and it is becoming possible to observe high temporal resolution and spatial resolution. However, the amount of data acquired by the phased array radar is enormous and it is not realistic to send the observed raw data to the required place. Therefore, in this report, we propose a method to drastically reduce rainfall data by modeling observed data with three dimensional volume model. By using this method, it is possible to transmit data on an inexpensive internet line with a transmission speed of about several [Mbps]. In addition, we propose a system that predicts transmitted data using a particle filter .. In the proposed system, a particle model is constructed by using the moving direction and increasing or decreasing direction of each rain clump in the three dimensional volume model as state vectors. In this paper, we evaluate the change of the prediction accuracy by the particle number and the time resolution of the particle filter.
