Author(s): Takuto Haga, Katsumi Seki, Taro Arikawa
Linked Author(s): Takuto Haga
Keywords: Storm surge, high waves, explosive cyclone, SWAN and STOC-ML, GSM winds.
Abstract: In winter, duration and strength of explosive cyclones, whose development is rapid and strong winds with low pressure ranges are shown to be on an increasing trend in the last few years around Japan and they are becoming important factor affecting high wave and storm surge. Global Spectral Model (GSM) climate distribution data set by Japan Meteorological Agency (JMA) is applied to the wave and storm surge estimation around Hokkaido and Tohoku for explosive cyclone in January 2016. Wind and atmospheric pressure condition for the wave and storm surge estimation is obtained by two ways using GSM data set. One way is that GSM data set is interpolated linearly while another is Myers method based on the data set. Comparison between calculation and observation for the time variations of significant wave height and mean wave period and mean sea level departure from normal is conducted at observation points. The applicability of the data set to wave and storm surge estimation is verified. The main results are summarized as follows; 1) Maximum wind speed value by Myers method approximately matches the value of observation, but timing does not match. On the other hand, the fluctuation by liner interpolation is approximately equal to the observation fluctuation. 2) Significant wave height, mean wave period and mean sea level departure from normal of calculation by Myers method are underestimate as compared with observation values. 3) Significant wave height of calculation by linear interpolation is approximately equal to observation values, but the maximum values are a little underestimate. Mean wave period, mean sea level departure from normal and maximum them of calculation by linear interpolation are approximately equal to observation values
Year: 2017