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Journal of Oceanography· 2026Q2

Statistical quantification of potential impacts of upper-ocean stratification on tropical cyclone-induced sea surface cooling in the western North Pacific

Rintaro Miyagi, Tomoki Tozuka

Short summary

A 43% increase in upper-ocean stratification (measured by ΔVPE) leads to an additional 0.27°C of sea surface cooling after tropical cyclones (TCs) in the western North Pacific, particularly for stronger TCs.

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Key points

  • A 43% increase in upper-ocean stratification (ΔVPE) is associated with an additional 0.27°C of sea surface cooling post-tropical cyclone (TC).
  • Stratification, measured by ΔVPE, explains 23% of the variance in TC-induced sea surface cooling.
  • TC intensity explains a larger portion (77%) of the variance in sea surface cooling.
  • The metric ΔVPE, which combines mixed layer depth and density gradient, outperforms four other stratification metrics in estimating cooling impacts.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Using high-resolution reanalysis products and observed tropical cyclones (TCs) in the western North Pacific during July-October from 1994 to 2015, this study investigates the relative importance of TC intensity and upper-ocean stratification in controlling sea surface cooling within 24 h before and after TC passages, with a focus on vertical mixing, a dominant process for the cooling. To minimize the influence of differences in TC translation speeds, only TCs with typical translation speeds are retained. The upper-ocean stratification is quantified by density-based virtual potential energy change ( $$\:\varDelta\:$$ VPE) that incorporates the effects of both mixed layer depth (MLD) and the density gradient beneath it. A statistical classification method reveals that a 43% difference in $$\:\varDelta\:$$ VPE, associated with a shallower MLD and a steeper density gradient, leads to an additional surface cooling of 0.27℃ for stronger TCs. In addition, correlation and regression analyses, including both strong and weak TCs and simply assuming that cooling amplitude is explained solely by TC intensity and $$\:\varDelta\:$$ VPE, indicate that each predictor explains approximately 77% and 23% of the variance in cooling, respectively. Furthermore, $$\:\varDelta\:$$ VPE outperforms four other metrics in estimating the impact of upper-ocean stratification on TC-induced cooling. These results provide a basis for improving the representation of ocean feedbacks in real-time TC intensity forecasts.

The authors' abstract, as published at the source. Journal of Oceanography, 2026 · DOI ↗

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Field: Atmospheric Science

Atmospheric ScienceEarth and Planetary Sciences