A thermodynamic uncertainty relation imposes an entropy-based constraint on the seasonal phase locking of ENSO variance in a linear stochastic recharge oscillator model.
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Optimizing training data via a differentiable SCM yields climate emulators that outperform those trained on six standard ScenarioMIP pathways while using less data and isolating distinct forcing responses.
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A Stochastic-Thermodynamic Constraint on the Seasonal Phase Locking of the El Ni\~no-Southern Oscillation
A thermodynamic uncertainty relation imposes an entropy-based constraint on the seasonal phase locking of ENSO variance in a linear stochastic recharge oscillator model.
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Optimal scenario design for climate emulation
Optimizing training data via a differentiable SCM yields climate emulators that outperform those trained on six standard ScenarioMIP pathways while using less data and isolating distinct forcing responses.