Time-scaling properties of sunshine duration based on detrended fluctuation analysis over China

被引：0

作者：

Jiang L. ^{[1
]}

Zhang J. ^{[2
,3
]}

Fang Y. ^{[4
,5
]}

机构：

[1] School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing

[2] Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing

[3] Unit 31010, The People's Liberation Army, Beijing

[4] State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing

[5] The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, Jiangnan University, Wuxi

来源：

Atmosphere | 2019年 / 10卷 / 02期

关键词：

Detrended fluctuation analysis; Long range correlations; Scaling properties; Sunshine duration;

D O I：

10.3390/ATMOS10020083

中图分类号：

学科分类号：

摘要：

The spatial and temporal variabilities of the daily Sunshine Duration (SSD) time series from the Chinese Meteorological Administration during the 1954-2009 period are examined by the Detrended Fluctuation Analysis (DFA) method. As a whole, weak long-range correlations (LRCs) are found in the daily SSD anomaly records over China. LRCs are also verified by shuffling the SSD records. The proportion of the stations with LRCs accounts for about 97% of the total. Many factors affect the scaling properties of the daily SSD records such as sea-land difference and Tibetan Plateau landform and so on. We find land use and land cover as one of the important factors closely links to LRCs of the SSD. Strong LRCs of the SSD mainly happen in underlying surface of deserts and crops, while weak LRCs occur in forest and grassland. Further studies of scaling behaviors are still necessary to be performed due to the complex underlying surface and climate system. © 2019 by the authors.

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