A non-autonomous framework for climate change and extreme weather events increase in a stochastic energy balance model
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909294456209408 |
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| author | Del Sarto, Gianmarco Flandoli, Franco |
| author_facet | Del Sarto, Gianmarco Flandoli, Franco |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_11881 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A non-autonomous framework for climate change and extreme weather events increase in a stochastic energy balance model Del Sarto, Gianmarco Flandoli, Franco Atmospheric and Oceanic Physics Dynamical Systems Probability 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. |
| title | A non-autonomous framework for climate change and extreme weather events increase in a stochastic energy balance model |
| topic | Atmospheric and Oceanic Physics Dynamical Systems Probability |
| url | https://arxiv.org/abs/2406.11881 |