On Generalized Langevin Dynamics and the Modelling of Global Mean Temperature

N. Watkins, S. Chapman, A. Chechkin, I. Ford, Rainer Klages, D. Stainforth
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引用次数: 5

Abstract

Since Hasselmann and Leith, stochastic Energy Balance Models (EBMs) have allowed treatment of climate fluctuations, and at least the possibility of fluctuation-dissipation relations.   However, it has recently been argued that observations motivate heavy-tailed temporal response functions in global mean temperature. Our complementary approach  (arXiv:2007.06464v2[cond-mat.stat-mech]) exploits the correspondence  between Hasselmann’s EBM and  Langevin’s equation (1908).  We propose mapping the Mori-Kubo Generalised Langevin Equation (GLE) to generalise the Hasselmann EBM. If present, long range memory then simplifies the GLE to a fractional Langevin equation (FLE).  We describe the EBMs that correspond to the GLE and FLE,  and relate them to  Lovejoy et al’s FEBE [NPG Discussions, 2019; QJRMS, to appear, 2021].

广义朗之万动力学与全球平均温度的模拟
自Hasselmann和Leith以来,随机能量平衡模型(EBMs)已经允许处理气候波动,并且至少允许波动-耗散关系的可能性。  然而,最近有人认为,观测激发了全球平均温度的重尾时间响应函数。我们的互补方法 [arXiv:2007.06464v2[cond-mat.stat-mech])利用对应 在Hasselmann’s EBM和 Langevin’s equation(1908)之间。 我们提出映射Mori-Kubo广义朗之万方程(GLE)来推广Hasselmann EBM。如果存在,那么长距离存储器将GLE简化为分数朗格万方程(FLE)。 我们描述了对应于GLE和FLE的ebm, 并将它们与 Lovejoy等人的FEBE [NPG讨论,2019;QJRMS,将于2021年出现]。
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