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On the scaling effect in global surface air temperature anomalies

机译:关于全球地面气温异常的定标效应

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The annual and the monthly mean values of the land-surface air temperature anomalies from 1880-2011, over both hemispheres, are used to investigate the existence of long-range correlations in their temporal evolution. The analytical tool employed is the detrended fluctuation analysis, which eliminates the noise of the non-stationarities that characterize the land-surface air temperature anomalies in both hemispheres. The reliability of the results obtained from this tool (e.g., power-law scaling) is investigated, especially for large scales, by using error bounds statistics, the autocorrelation function (e.g., rejection of its exponential decay) and the method of local slopes (e.g., their constancy in a sufficient range). The main finding is that deviations of one sign of the land-surface air temperature anomalies in both hemispheres are generally followed by deviations with the same sign at different time intervals. In other words, the land-surface air temperature anomalies exhibit persistent behaviour, i.e., deviations tend to keep the same sign. Taking into account our earlier study, according to which the land and sea surface temperature anomalies exhibit scaling behaviour in the Northern and Southern Hemisphere, we conclude that the difference between the scaling exponents mainly stems from the sea surface temperature, which exhibits a stronger memory in the Southern than in the Northern Hemisphere. Moreover, the variability of the scaling exponents of the annual mean values of the land-surface air temperature anomalies versus latitude shows an increasing trend from the low latitudes to polar regions, starting from the classical random walk (white noise) over the tropics. There is a gradual increase of the scaling exponent from low to high latitudes(which is stronger over the Southern Hemisphere).
机译:利用两个半球1880-2011年的地表气温异常的年平均值和月平均值,来调查其时间演变中长期相关性的存在。所使用的分析工具是去趋势波动分析,它消除了表征两个半球地面温度异常的非平稳性噪声。通过使用误差边界统计,自相关函数(例如,拒绝其指数衰减)和局部斜率方法,研究了从该工具获得的结果(例如幂律定标)的可靠性,特别是对于大型定标。例如,它们的恒定性在足够的范围内)。主要发现是,两个半球的地表温度异常的一个符号偏差通常在不同的时间间隔后出现具有相同符号的偏差。换句话说,地表空气温度异常表现出持续的行为,即偏差趋于保持相同的符号。考虑到我们先前的研究,据此,北半球和南半球的陆地和海表温度异常表现出尺度变化行为,我们得出结论,尺度指数之间的差异主要源于海表温度,海表温度表现出更强的记忆力。南部比北半球好。此外,从热带地区经典的随机游走(白噪声)开始,陆地表面气温异常年平均值的标度指数随纬度的变化显示出从低纬度到极地地区的增长趋势。比例指数从低纬度到高纬度逐渐增加(在南半球更强)。

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