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http://dx.doi.org/10.5351/KJAS.2021.34.3.439

A trend analysis of seasonal average temperatures over 40 years in South Korea using Mann-Kendall test and sen's slope  

Jin, Dae-Hyun (Department of Statistics, Dongguk University)
Jang, Sung-Hwan (Department of Statistics, Dongguk University)
Kim, Hee-Kyung (Department of Statistics, Dongguk University)
Lee, Yung-Seop (Department of Statistics, Dongguk University)
Publication Information
The Korean Journal of Applied Statistics / v.34, no.3, 2021 , pp. 439-447 More about this Journal
Abstract
Due to the frequent emergence of global abnormal climates, related studies on meteorological change is being actively proceed. However, the research on trend analysis using weather data accumulated over a long period of time was insufficient. In this study, the trend of temperature time series data accumulated from automated surface observing system (ASOS) for 40 years was analyzed by using a non-parametric analysis method. As a result of the Mann-Kendall test on the annual average temperature and seasonal average temperature time series data in South Korea, it has shown that an upward trend exists. In addition, the result of calculating the Sen's slope, which can determine the degree of tendency before and after the searched change point by applying the Pettitt test, recent data after the fluctuation point confirmed that the tendency of temperature rise was even greater.
Keywords
trend analysis; Mann-Kendall test; Sen's slope; Pettitt test; change point; seasonal average temperature;
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