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A non-autonomous framework for climate change and extreme weather events increase in a stochastic energy balance model (2406.11881v2)
Published 12 Jun 2024 in physics.ao-ph, math.DS, and math.PR
Abstract: We develop a three-timescale framework for modelling climate change and introduce a space-heterogeneous one-dimensional energy balance model. This model, addressing temperature fluctuations from rising carbon dioxide levels and the super-greenhouse effect in tropical regions, fits within the setting of stochastic reaction-diffusion equations. Our results show how both mean and variance of temperature increase, without the system going through a bifurcation point. This study aims to advance the conceptual understanding of the extreme weather events frequency increase due to climate change.