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2012.02963

On the abrupt change of the maximum likelihood state in a simplified stochastic thermohaline circulation system

Fang Yang, Xu Sun, Jinqiao Duan

correctmedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:55 AM

Audit review

The paper defines the bridge maximum-likelihood state ψ(t) via the product identity p(y3,T|y,t)·p(y,t|y1,0) and computes it by solving the forward/backward Fokker–Planck equations, reporting a clear jump and, crucially, that stronger noise (ε=0.25 vs 0.20) yields an earlier jump time (≈6.32 vs ≈6.86) for T=10 and F̄=1.1, μ2=6.2, with equilibria y1≈0.2402, y2≈0.6911, y3≈1.0687 . The candidate solution uses the same identity and a similar PDE approach but produces substantially different jump times (≈5.25 and ≈5.37) and the opposite monotonic trend (claiming larger ε delays the jump). The candidate’s qualitative “existence” argument is also incomplete (it does not rule out a global maximizer outside the chosen neighborhoods), whereas the paper’s result is internally consistent with its stated method and parameters. Therefore, on reconciliation, the paper’s claims are supported by its computations, but the model’s numerical conclusions and ε-dependence are incorrect for the stated setup.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

This short paper clearly formulates the maximum-likelihood state for a stochastic thermohaline bridge, derives the correct product identity, and demonstrates via forward/backward Fokker–Planck computations that the modal trajectory exhibits an abrupt jump. The numerical evidence for how the jump time depends on noise strength is informative for the modeling community. While the work is primarily computational and contains minor typographical issues (notably in the backward equation and notation consistency), the main findings are credible and clearly presented for a short contribution. Addressing the minor presentation issues and adding brief numerical details (boundary conditions, grids) would strengthen reproducibility.