Application of the detrended fluctuation analysis (DFA) method for describing cloud breaking
Application of the detrended fluctuation analysis (DFA) method for describing cloud breaking
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DOI：
10.1016/s0378-4371(99)00312-x
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发表时间：
1999-12-01
期刊：
影响因子：
3.3
通讯作者：
Ausloos, M
中科院分区：
文献类型：
--
作者：
Ivanova, K;Ausloos, M
本文介绍了一种在层状云的形成、持续和解体过程中进行相关性和去相关性分类的方法。将去趋势起伏分析（DFA）统计方法应用于微波辐射计数据。在层状云液态水含量波动的长期幂律相关的存在证明了在2小时的时间。此外，使用一个有限大小（时间）的间隔窗口，从布朗到非布朗波动制度的变化清楚地表明，定义云结构的变化。这些发现与DNA和金融数据序列中存在持久性和反持久性斑块镶嵌时的发现相似。这些统计数据在层状云液态水含量的发生表明，云解析模式输出和更好的气象可预测性的类似研究的有用性。(C)1999 Elsevier Science B.V.保留所有权利。
A method to sort out correlations and decorrelations in stratus cloud formation, persistence and breakup is introduced. The detrended fluctuation analysis (DFA) statistical method is applied to microwave radiometer data. The existence of long-range power-law correlations in stratus cloud liquid water content fluctuations is demonstrated over a 2-h period. Moreover using a finite size (time) interval window, a change from Brownian to non-Brownian fluctuation regimes is clearly shown to define the cloud structure changes. Such findings are similar to those found in DNA and financial data sequences when mosaics of persistent and antipersistent patches are present. The occurrence of these statistics in stratus cloud liquid water content suggests the usefulness of similar studies on cloud-resolving model output and for better meteorological predictability. (C) 1999 Elsevier Science B.V. All rights reserved.