Author:
Takahashi Nobuhiro,Ushio Tomoo,Nakagawa Katsuhiro,Mizutani Fumihiko,Iwanami Koyuru,Yamaji Akihiko,Kawagoe Takeshi,Osada Masahiko,Ohta Takehiro,Kawasaki Masaki, , , , , , , , , ,
Abstract
This paper is an overview of a project concerned with “Early warning for torrential rainfall/tornado” under “Enhancement of Societal Resiliency against Natural Disasters,” which is one of eleven themes of the SIP (Cross-ministerial Strategic Innovation Promotion Program under the Council for Science, Technology and Innovation, the Cabinet Office, Government of Japan). The characteristics of the project are the development of a multi-parameter phased array weather radar (MP-PAWR) that enables the accomplishment of an accurate three-dimensional model of precipitation over 30 s within a 60 km radius. Various products developed ducts using MP-PAWR and other observations, and numerical predictions, are also discussed, with a demonstration experiment to provide early warnings for torrential rainfall and related disasters. For end users such as local governments and general citizens, the final goal of this project is the social implementation of these products.
Publisher
Fuji Technology Press Ltd.
Subject
Engineering (miscellaneous),Safety, Risk, Reliability and Quality
Reference9 articles.
1. Y. Tachikawa, S. Esaki, M. Shiiba, and Y. Ichikawa, “Rainfall-runoff analysis of the Toga river flush flood in July 2008 to prevent the water accident,” J. River Eng., Vol.15, pp. 43-48, 2009 (in Japanese).
2. A. Kato and M. Maki, “Localized heavy rainfall near Zoshigaya, Tokyo, Japan on 5 August 2008 observed by X-band polarimetric radar – preliminary analysis –,” SOLA, Vol.5, pp. 89-92, 2009.
3. K. Hirano and M. Maki, “Method of VIL Calculation for X-band Polarimetric Radar and Potential of VIL for Nowcasting of Localized Severe Rainfall – Case Study of the Zoshigaya Downpour, 5 August 2008 –,” SOLA, Vol.6, pp. 89-92, doi:10.2151/sola.2010-023, 2010.
4. R. Kato, S. Shimizu, K. Shimose, and K. Iwanami, “Very short time range forecast using CReSS-3DVAR for a meso-γ-scale, localized, extreme, heavy rainfall event: Comparison with an extrapolation-based nowcast,” J. of Disaster Res., Vol.12, No.5, pp. 967-979, 2017.
5. Y. Usuda et al., J. Disaster Res., Vol.14, No.2, 2019.
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献