2008•PROCEEDINGS OF HYDRAULIC ENGINEERINGOpen access

INVESTIGATION ON REAL-TIME FORECASTING SYSTEM OF STORM SURGE AT THE NORTHERN TOKUSHIMA COAST

Seiji AMOU, Susumu Nakano, Takeshi Kimura, Shigeru TSUGAWA

Open full text 0 citations

Abstract

We investigated the real-time forecast system of a storm surge to reduce its disaster. Typhoon properties such as central atmospheric pressure were forecasted before several hours by two methods. The one is forecasting by using neural network technique based on the past typhoon data and the other is utilization of typhoon forecast information by the Meteorological Agency. As a result of the comparison of both methods, it was found that the latter gave more correct forecast of typhoon properties. Based on the forecasting values of typhoon, we carried out the real-time forecasting of a storm surge and examined the practical utility of this system.

Open-access reader

About this research paper

What this paper is about

We investigated the real-time forecast system of a storm surge to reduce its disaster. Typhoon properties such as central atmospheric pressure were forecasted before several hours by two methods. The one is forecasting by using neural network technique based on the past typhoon data and the other is utilization of typhoon forecast information by the Meteorological Agency. As a result of the comparison of both methods, it was found that the latter gave more correct forecast of typhoon properties. Based on the forecasting values of typhoon, we carried out the real-time forecasting of a storm surge and examined the practical utility of this system.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

We investigated the real-time forecast system of a storm surge to reduce its disaster. Typhoon properties such as central atmospheric pressure were forecasted before several hours by two methods. The one is forecasting by using neural network technique based on the past typhoon data and the other is utilization of typhoon forecast information by the Meteorological Agency. As a result of the comparison of both methods, it was found that the latter gave more correct forecast of typhoon properties. Based on the forecasting values of typhoon, we carried out the real-time forecasting of a storm surge and examined the practical utility of this system.

Key concepts: Typhoon, Storm surge, Meteorology, Environmental science, Tropical cyclone forecast model, Climatology, Storm, Surge

Related papers

Back to paper searchBrowse research topicsOriginal source
INVESTIGATION ON REAL-TIME FORECASTING SYSTEM OF STORM SURGE AT THE NORTHERN TOKUSHIMA COAST — Research Paper | ScholarLens