Analysis of changes in extreme temperatures using quantile regression

被引：0
作者：
Kyoungmi Lee
Hee-Jeong Baek
ChunHo Cho
机构：
[1] Korea Meteorological Administration,National Institute of Meteorological Research
[2] Korea Meteorological Administration,Climate Research Laboratory, National Institute of Meteorological Research
来源：
Asia-Pacific Journal of Atmospheric Sciences | 2013年 / 49卷
关键词：
Extreme temperature; quantile regression; climate change; urbanization; South Korea;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study examines the changes in regional extreme temperature in South Korea using quantile regression, which is applied to analyze trends, not only in the mean but in all parts of the data distribution. The results show considerable diversity across space and quantile level in South Korea. In winter, the slopes in lower quantiles generally have a more distinct increase trend compared to the upper quantiles. The time series for daily minimum temperature during the winter season only shows a significant increasing trend in the lower quantile. In case of summer, most sites show an increase trend in both lower and upper quantiles for daily minimum temperature, while there are a number of sites with a decrease trend for daily maximum temperature. It was also found that the increase trend of extreme low temperature in large urban areas (0.80°C decade−1) is much larger than in rural areas (0.54°C decade−1) due to the effects of urbanization.
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页码：313 / 323
页数：10
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