Scaling behavior of sunshine hour records over China
Abstract
Variables of climate system often exhibit self-similar behavior over different time scales in time series, which is also known as scaling characteristics. Scaling behavior of 600 long daily sunshine hour records over China were analyzed by using detrended fluctuation analysis (DFA). The DFA method is widely used to determine the power-law scaling behavior in climatic variability. The study results indicated that the sunshine hour records from all the stations in China are characterized by long-range power-law correlations, which is also identified as power-law scaling. Furthermore, the scaling exponent results presented non-universal scaling behaviors on the scale from 100 days to 1000 days over China. In north China, the DFA results showed that the scaling exponents are around 0.6 on behalf of weak scaling behavior. In the south China, the scaling exponents exhibited crossover effect in sunshine hour records, which contributes to the different statistical properties between large scale and small scale fluctuations, and finally leads to the distinct power-law scaling for small and large scale fluctuations. On the scale from 100 days to 1000 days, sunshine hour records showed weak scaling behavior like in north China, but presented strong scaling behavior along with scaling exponents around 0.75 on the scale under 100 days.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2011
- Bibcode:
- 2011AGUFMNG41A1455F
- Keywords:
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- 1620 GLOBAL CHANGE / Climate dynamics;
- 3270 MATHEMATICAL GEOPHYSICS / Time series analysis