| 极端气温和极端降水复合事件的气候特征 |
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| 引用本文： | 肖秀程,黄丹青,严佩文.极端气温和极端降水复合事件的气候特征[J].气象科学,2020,40(6):744-751. |
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| 作者姓名： | 肖秀程 黄丹青 严佩文 |
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| 作者单位： | 南京大学 大气科学学院, 南京 210023;南京大学 大气科学学院, 南京 210023;南京信息工程大学 气象灾害教育部重点实验室, 南京 210044;绍兴市气象局, 浙江 绍兴, 312000 |
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| 基金项目： | 国家重点研发计划项目（2016YFA0600701）；国家自然科学基金资助项目（41575071）；气象灾害教育部重点实验室（南京信息工程大学）开放课题（KLME1502） |
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| 摘 要： | 基于1961-2014年的中国台站资料，侧重探讨极端气温和极端降水复合事件的气候特征。结果表明，基于客观方法检测出四类极端复合事件：暖湿、暖干、冷湿和冷干。四类事件的频发区分别位于东北地区、华南地区、西藏及华南地区和长江以南及云贵高原一带。全国暖湿、暖干事件频数呈增加趋势，春夏季频发；冷湿事件频数在西藏东北一带呈增加趋势，而在长江流域呈减少趋势，夏秋冬季频发；冷干事件频数呈减少趋势，秋冬季频发。四类极端复合事件经验正交分解的时间序列主模态均表现为年代际信号。进一步分析四类复合事件与能源消费量的联系表明，极端湿事件与能源消费量呈正相关，而极端干事件则相反。
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| 关 键 词： | 极端复合事件 极端气温 极端降水 能源消耗 |
| 收稿时间： | 2019/6/24 0:00:00 |
| 修稿时间： | 2019/10/12 0:00:00 |
The climatic characteristics of compound extreme events |
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| XIAO Xiucheng,HUANG Danqing,YAN Peiwen.The climatic characteristics of compound extreme events[J].Scientia Meteorologica Sinica,2020,40(6):744-751. |
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| Authors: | XIAO Xiucheng HUANG Danqing YAN Peiwen |
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| Institution: | School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China;School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China;Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China; Shaoxing Meteorological Bureau, Zhejiang Shaoxing 312000, China |
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| Abstract: | Based on the observation stations data in China from 1961 to 2014, the climatic characteristics of the temperature and precipitation compound extreme events were investigated. Results show that:four events were indicated as warm-wet, warm-dry, cold-wet and cold-dry events. The frequency of warm-wet event and warm-dry event show significant increasing over China and the two events mostly occurs in spring and summer. The frequency of cold-wet events show significant increasing in northeastern Tibet and decreasing in the Yangtze River Basin, and the events frequently occur in summer, autumn and winter. The frequency of cold-dry events has generally decreased, and the events frequently occur in autumn and winter. The EOF results of the four compound extreme events show significant decadal variability. The frequency of extreme wet events has positively correlated with the energy consumption, while vice versa for the extreme dry events. |
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| Keywords: | compound extreme events temperature extremes precipitation extreme energy consumption |
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