Abstract
Extreme weather events include unusual, severe or unseasonal weather, and weather at the extremes of the historical distribution. They have become more frequent and intense under global warming, especially in mid-latitude areas. They bring about great agricultural and economic losses. It is important to define the threshold of extreme weather event because it is the starting point of extreme weather event research, though it has been of seldom concern. Taking extreme precipitation events in Anhui, China as an example, the detrended fluctuation analysis (DFA) method is introduced to define the threshold of extreme weather events. Based on it, the spatial and temporal distributions of extreme precipitation events are analyzed. Compared to the traditional percentile method, DFA is based on the long-term correlation of time series. Thresholds calculated by DFA are much higher than the 99th percentile and the values are higher in the south and lower in the north. This spatial pattern is similar to the annual precipitation spatial pattern. There is an obvious increasing trend in the number of days with extreme precipitation, especially after the 1980s. This observation supports the point that more extreme events happen under global warming.
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Acknowledgments
This study is supported by the National Key Technology R&D Program of China under grant no. 2011BAD32B00-04, the National Grand Fundamental Research 973 Program of China under grant no. 2010CB951102, the National Natural Science Foundation of China under grant nos. 41071326 and 40871236, and the National Scientific Research Special Project of Public sectors (Agriculture) of China under grant no. 200903041.
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Zhang, Q., Zhang, J., Yan, D. et al. Extreme precipitation events identified using detrended fluctuation analysis (DFA) in Anhui, China. Theor Appl Climatol 117, 169–174 (2014). https://doi.org/10.1007/s00704-013-0986-x
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DOI: https://doi.org/10.1007/s00704-013-0986-x