532
Views
7
CrossRef citations to date
0
Altmetric
Articles

Statistical significance of tropical cyclone forward speed on storm surge generation: retrospective analysis of best track and tidal data in Japan

ORCID Icon & ORCID Icon
Pages 247-257 | Received 06 Oct 2019, Accepted 21 Mar 2020, Published online: 26 Apr 2020
 

ABSTRACT

In this study, 42 years of tidal records and landfall TC best tracks in Japan were used to demonstrate that TC pre-landfall forward speed is significantly correlated with maximum storm surge height. Coastal morphology was the determining factor for the correlation between storm surge and TC forward speed. Fast-moving TCs tended to amplify the storm surge along open coastlines (Pearson correlation coefficient, R = 0.62), but reduce it in semi-enclosed bays (R = −0.52). The negative correlation contrasts with the general perception that the coincidence of TC wind speed and forward speed vectors generates a larger storm surge. The influence of coastal morphology was most prominent for TCs with a central pressure lower than 956 hPa. Tropical cyclone (TC) operational forecasts are continuously improving; however, there is still scope to improve the precision of storm surge predictions. These findings could contribute to the improvement of storm surge forecasting and provide emergency management personnel with more precise early warnings of dangerous storm surges.

Acknowledgments

The first author is thankful to the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan for the provided scholarship to conduct research in the field of disaster risk reduction. This research was funded by a grant awarded to the Tokyo Institute of Technology (Japan Society for the Promotion of Science, 16KK0121 and 19K04964). Best track TC data for 1979–2018 (https://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub eg/trackarchives.html), and observed (http://www.data.jma.go.jp/kaiyou/db/tide/genbo/index.php) and predicted (http://www.data.jma.go.jp/kaiyou/db/tide/suisan/index.php) tide data were provided by the Japan Meteorological Agency.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by a grant awarded to the Tokyo Institute of Technology (Japan Society for the Promotion of Science) [grant number 16KK0121, 19K04964].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 172.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.