Vincze Miklós, Hancock Cathrine, Harlander Uwe, Rodda Costanza, Speer Kevin
HUN-REN-ELTE Theoretical Physics Research Group, Budapest, 1117, Hungary.
Institute of Earth Physics and Space Science (HUN-REN EPSS), Sopron, 9400, Hungary.
Sci Rep. 2023 Nov 27;13(1):20904. doi: 10.1038/s41598-023-47724-2.
Using two laboratory-scale conceptual fluid dynamic models of the mid-latitude atmospheric circulation we investigate the statistical properties of pointwise temperature signals obtained in long experiment runs. We explore how the average "equator-to-pole" temperature contrast influences the range and the jump distribution of extreme temperature fluctuations, the ratio of the frequencies of rapid cooling and warming events, and the persistence of "weather" in the set-ups. We find simple combinations of the control parameters-temperature gradient, rotation rate and geometric dimensions-which appear to determine certain scaling properties of these statistics, shedding light on the underlying dynamics of the Rossby wave-related elements of the mid-latitude weather variability.
我们使用两个中纬度大气环流的实验室规模概念性流体动力学模型,研究在长时间实验运行中获得的逐点温度信号的统计特性。我们探讨平均“赤道到极地”温度对比如何影响极端温度波动的范围和跳跃分布、快速冷却和升温事件的频率比,以及这些设置中“天气”的持续性。我们发现控制参数(温度梯度、旋转速率和几何尺寸)的简单组合似乎决定了这些统计数据的某些标度特性,从而揭示了中纬度天气变化中与罗斯比波相关要素的潜在动力学。