Research on extreme minimum and maximum temperatures based on generalized extreme value distribution

被引：0
|
作者：
Duan Chunfeng [1 ]
Miao Qilong [1 ]
Cao Wen [1 ]
Xu Shijing
机构：
[1] Nanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Nanjing 210044, Peoples R China
来源：
PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON APPLICATION OF MATHEMATICS AND PHYSICS, VOL 1: ADVANCES ON SPACE WEATHER, METEOROLOGY AND APPLIED PHYSICS | 2010年
关键词：
generalized extreme value; extreme temperature; the Arctic Oscillation; Harbin;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this study, generalized extreme value (GEV) distribution was fitted to the extreme minimum temperature (TMIN) and extreme maximum temperature (TMAX) in Harbin. It was found that inclusion of the trend and the Arctic Oscillation index as covariates in the location parameter when applying the GEV fit to TMIN resulted in a significant improvement over the model without covariates. The estimated return levels for 100-year and 10-year return periods using the GEV were obtained for both TMAX and. TMIN.
引用
收藏
页码：73 / 78
页数：6
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