Mechanism of Storm Surge Induced by Low-Pressure Systems along the Northern Coast of Kyushu, Japan
Abstract. This study aims to clarify the mechanism of storm surge caused by low-pressure systems, which differ from typical storm surges associated with typhoons and have been prominently observed along the northern coast of Kyushu, Japan. An integrated approach was employed by combining the analysis of observational data with numerical simulations using an ocean circulation model. First, based on tide gauge and wind data collected at multiple locations along the Northern Coast of Kyushu, the temporal relationship between storm surge anomalies and wind variations was evaluated. A strong correlation was identified between the rotational component of wind direction and the amplitude of the anomalies. Subsequently, numerical simulations using realistic coastal topography successfully captured the characteristics of coastal wave propagation (i.e. coastal-trapped gravity waves) generated by wind rotation and coastal geometry, and accurately reproduced both the timing and amplitude of the storm surge anomalies in the gauge. Furthermore, numerical experiments using idealized topographic meshes and simplified wind conditions quantitatively assessed how the rotation period of wind and the presence or absence of topographic features affect the resonant amplification or suppression of storm surges. In particular, it was revealed that the Goto Islands contribute to the earlier formation and amplification of storm surges, while the Korean Peninsula suppresses wave amplitude by limiting the spatial extent of wave propagation. These findings contribute to a better understanding of storm surge mechanisms anywhere in the world, including regions with similar geographic settings, and provide valuable insights for enhancing the accuracy of anomaly prediction models and strengthening disaster prevention and mitigation strategies.
This is a generally well written paper on an interesting topic. Some clarification is needed on a few points
Section 2 lines 68-70 / Section 2.1.1 lines 81-82
Why is Hakata chosen as the representative site?
Section 2.1.1
I assume the reconstructed tide from pytides is used to de-tide the gauge data and provide the observed surge? Can this be made more explicit
Section 3.1 line 188
It is not clear why the tide has not been included – can you expand on this? I would think this is intended to only refer to the model simulation (the gauge observations must have had a tide removed?) but it uses the plural “storm surges” when there is only one event with a model simulation so this should be clarified.
Section 5 line 484
“The insights obtained in this study provide a physical basis for improving short-term storm surge prediction and risk assessment along the northern coast of Kyushu” – how is surge prediction currently done in this region? What improvements do you think could be made following this work?
Figures
Figures 5,13,14,16,20 rely on the reader being able to distinguish between red and green lines/points. These should use different colours that are more accessible to readers with colour-blindness, or use different shaped symbols to distinguish them.
Figures 8,11,12,18,20 – these use a “rainbow” colour map which is generally not recommend (eg https://towardsdatascience.com/why-the-rainbow-color-map-is-problematic-23293d0937d5/). I would suggest using a different colour scale in future
Technical/typos
Line 136
Either needs text inserted between “surrounding ocean areas” and the citations, or put the citations in brackets eg:
“… applied to the target and surrounding ocean areas (Yamashiro et al 2016, Ide et al 2013) …” or
“… applied to the target and surrounding ocean areas for example by Yamashiro et al (2016), Ide et al (2023) …”
Line 313
“surge anomalies” -> “surge anomaly”