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

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 eovariates. The estimated return levels for 100-year and 10-year return periods using the GEV were obtained for both TMAX and. TMIN.

关键词： generalized extreme value extreme temperature the Arctic Oscillation Harbin

作者: Duan Chunfeng Miao Qilong Cao Wen Xu Shijing

作者单位: Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Informatio 92853 army unit, 125100, Xingcheng, China

会议类型: 国际会议

会议名称: 2010 International Conference on Application of Mathematics and Physics(2010国际数理科学与气象学术研讨会暨2010空间天气学研讨会 AMP2010)

会议地点: 南京

会议语种:英文

页码: 73-78

在线出版日期: 2010-05-08（万方平台首次上网日期，不代表论文的发表时间）