洛伦兹关于大气可预测性极限的观点

B. Shen, R. Pielke, X. Zeng, Xiping Zeng
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引用次数: 2

摘要

为了确定大气的内在可预测性极限是否为两周,以及洛伦兹的方法是否支持这一极限,本条目讨论了以下主题:(A)洛伦兹1963模型定性地揭示了大气等混沌系统中有限可预测性的本质。然而,洛伦兹1963年模型并没有确定大气可预测性的精确极限。(B).在20世纪60年代,使用现实世界的模型,两周的可预测性极限最初是基于5天的加倍时间来估计的。Charney等人于1966年记录了这一发现,并已成为共识。在本条目中,Major Point A和Major Point B分别作为这些主题的参考。文献回顾和分析表明,Lorenz 1963模型定性地揭示了有限的可预测性,而Lorenz 1969模型的发现与饱和假设支持了两周可预测性极限的想法,在20世纪60年代,这是基于使用真实世界模型获得的5天加倍时间来估计的。然而,理论上的Lorenz 1963和1969模式有局限性,例如缺乏某些过程和假设,因此不能代表大气的内在可预测性极限。这一条目表明了使用不同方法寻找可预测性限制的乐观观点,并得到了最近超过两周的有希望的模拟的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lorenz’s View on the Predictability Limit of the Atmosphere
To determine whether (or not) the intrinsic predictability limit of the atmosphere is two weeks and whether (or not) Lorenz’s approaches support this limit, this entry discusses the following topics: (A). The Lorenz 1963 model qualitatively revealed the essence of a finite predictability within a chaotic system such as the atmosphere. However, the Lorenz 1963 model did not determine a precise limit for atmospheric predictability. (B). In the 1960s, using real-world models, the two-week predictability limit was originally estimated based on a doubling time of five days. The finding was documented by Charney et al. in 1966 and has become a consensus. Throughout this entry, Major Point A and B are used as respective references for these topics. A literature review and an analysis suggested that the Lorenz 1963 model qualitatively revealed a finite predictability, and that findings of the Lorenz 1969 model with a saturation assumption supported the idea of the two-week predictability limit, which, in the 1960s, was estimated based on a doubling time of five days obtained using real-world models. However, the theoretical Lorenz 1963 and 1969 models have limitations, such as a lack of certain processes and assumptions, and, therefore, cannot represent an intrinsic predictability limit of the atmosphere. This entry suggests an optimistic view for searching for a predictability limit using different approaches and is supported by recent promising simulations that go beyond two weeks.
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