Inverse estimation of bottom topography using tide observation data

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K13883
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Meteorology/Physical oceanography/Hydrology
• Research Institution: Kyushu University
• Principal Investigator: HIROSE NAOKI 九州大学, 応用力学研究所, 教授 (70335983)
• Research Collaborator: Uehara Katsuto
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: 海底地形 / 黄海 / 浅水波モデル / モデルグリーン関数 / 対馬海峡

Outline of Final Research Achievements

The area-mean depth for the Yellow Sea was accurately estimated within the narrow range between 44.9 and 45.7m by the inverse calculation of ocean tide model with the constraint of satellite altimeter data. But the estimation results were unstable using coastal tide gauge data.
Numerical experiments were performed for the sensitivity of the fluid motion to various bumps and dimples using a shallow water model with a simple channel topography. The maximum sensitivity was found at the top of the bump (dimple) with the oscillating case but shifted left (right) hand side of the bump(dimple) with the steady flow. The response to the topographic anomaly was stronger with the steady flow.

Free Research Field

海洋物理学

Academic Significance and Societal Importance of the Research Achievements

本研究が進化することによって水深マップの信頼性が向上し、船舶の航行や漁業活動、資源調査、港湾整備など実社会で直接的に有益である。海底地形データの精度向上は、特に沿岸域の海況予測の計算精度にも直結し、気象予報や海洋エネルギーなどさらに多分野への波及効果が想像できる。