Development of Line-shaped Rainband Prediction Method Utilizing Meso-ensemble Data

Autor: YAMAJI, Akihiko, MASUDA, Aritoshi, MANAKA, Tomohisa, ABE, Tomohiko, SAITO, Yasuharu, SAITO, Yoichi
Jazyk: japonština
Rok vydání: 2022
Předmět:
Zdroj: 京都大学防災研究所年報. B. 65:199-203
ISSN: 0386-412X
Popis: In recent years, heavy rain disasters caused by line-shaped rainband have become a major problem. Early evacuation is important in order to protect human life, but it is difficult to accurately predict the occurrence of line-shaped rainband, which is necessary for evacuation decisions. In this study, we developed a method for extracting line-shaped rainband from the predicted rainfall of meso-ensemble model output by elliptical approximation. As a result, we were able to achieve 85.1% missing rate (predicted to occur, but not actually occur) and 5.4% occurrence prediction rate. Compared with the existing method, missing rate was 10.5% lower and occurrence prediction rate was 17.5% lower. It is considered that the utilization of this method for evacuation decisions contributes to the reduction of heavy rain disasters.
Databáze: OpenAIRE