On the abrupt change of the maximum likelihood state in a simplified stochastic thermohaline circulation system
Fang Yang, Xu Sun, Jinqiao Duan

TL;DR
This paper investigates how the maximum likelihood state in a simplified stochastic thermohaline circulation model exhibits abrupt jumps during transitions, providing insights into sudden climate changes observed in climate records.
Contribution
It demonstrates that the maximum likelihood state undergoes jumps during metastable state transitions, offering a new explanation for abrupt climate changes.
Findings
Maximum likelihood state jumps during transitions
Explains mechanisms of abrupt climate change
Provides a simplified model for climate dynamics
Abstract
The maximum likelihood state for a simplified stochastic thermohaline circulation model is investigated. It is shown that a jump occurs for the maximum likelihood state during transitions between two metastable states. The jump helps to explain the mechanism of the abrupt change in the climate systems as revealed by various climate records.
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