广义朗之万动力学与全球平均温度的模拟

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

摘要

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]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Generalized Langevin Dynamics and the Modelling of Global Mean Temperature

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].

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