海中波動の物理モデルが気候予測の精度を向上(RPI Mathematician Models the Physics of Undersea Waves)

2025-07-24 レンセラー工科大学(RPI)

RPIのLvov教授らは、深海で発生する内部波が引き起こす乱流混合を予測する物理モデルを開発。従来の気候モデルでは表現困難だったこの現象を、波同士の相互作用に基づく理論で定量化し、観測データとも整合。海洋循環や炭素吸収に関わる重要なプロセスの再現精度が向上し、気候予測の信頼性向上が期待される。局所的相互作用がエネルギー輸送に支配的であることも明らかに。

<関連情報>

相互作用する内部波が、海洋内部の混合のグローバルパターンを説明 Interacting internal waves explain global patterns of interior ocean mixing

Giovanni Dematteis,Arnaud Le Boyer,Friederike Pollmann,Kurt L. Polzin,Matthew H. Alford,Caitlin B. Whalen & Yuri V. Lvov
Nature Communications  Published:29 August 2024
DOI:https://doi.org/10.1038/s41467-024-51503-6

海中波動の物理モデルが気候予測の精度を向上(RPI Mathematician Models the Physics of Undersea Waves)

Abstract

Across the stable density stratification of the abyssal ocean, deep dense water is slowly propelled upward by sustained, though irregular, turbulent mixing. The resulting mean upwelling determines large-scale oceanic circulation properties like heat and carbon transport. In the ocean interior, this turbulent mixing is caused mainly by breaking internal waves: generated predominantly by winds and tides, these waves interact nonlinearly, transferring energy downscale, and finally become unstable, break and mix the water column. This paradigm, long parameterized heuristically, still lacks full theoretical explanation. Here, we close this gap using wave-wave interaction theory with input from both localized and global observations. We find near-ubiquitous agreement between first-principle predictions and observed mixing patterns in the global ocean interior. Our findings lay the foundations for a wave-driven mixing parameterization for ocean general circulation models that is entirely physics-based, which is key to reliably represent future climate states that could differ substantially from today’s.

1702地球物理及び地球化学
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