基于均一化降水资料的中国极端降水特征分析

doi:10.11849/zrzyxb.20150209

自然资源学报 ›› 2016, Vol. 31 ›› Issue (6): 1015-1026.doi: 10.11849/zrzyxb.20150209

基于均一化降水资料的中国极端降水特征分析

武文博^{a, b},游庆龙,王岱^{a, b}

南京信息工程大学 a. 气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心,
b. 中英气候变化与评估研究所,南京 210044

收稿日期:2015-03-05 出版日期:2016-06-20 发布日期:2016-06-20
通讯作者: 游庆龙（1980- ），男，湖南岳阳人，教授，从事青藏高原现代气候环境变化研究工作。Email:qinglong.you@nuist.edu.cn
作者简介:武文博（1992-），女，河南郑州人，硕士研究生，主要从事极端降水的研究。E-mail: wubosunny@126.com
基金资助:
江苏省特聘教授项目（R2013T07）；江苏省杰出自然科学基金（BK20140047）；江苏省六大人才高峰目（2015-JY-010）；江苏高校优势学科建设工程资助项目（PAPD）。

Characteristics of Extreme Precipitation in China Based on Homogenized Precipitation Data

WU Wen-bo^{a, b}, YOU Qing-long^{a, b}, WANG Dai^{a, b}

a. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Joint International Research Laboratory of Climate and Environment Change (ILCEC)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), b. Institute of Climate Change and Evaluation between China and UK, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2015-03-05 Online:2016-06-20 Published:2016-06-20
Supported by:
Jiangsu Specially-AppointedProfessor, No. R2013T07; Jiangsu Natural Science Funds for Distinguished Young Scholar, No. BK20140047; Jiangsu Provincial Six Talent Peaks Project, No. 2015-JY-010; Priority Academic Program Development of Jiangsu Higher Education Institutions, No. PAPD.

摘要/Abstract

摘要： 论文利用中国1961—2012年602个测站均一化的日降水资料,基于世界气象组织定义的11个极端降水指数,分析了近52 a中国极端降水事件的时空分布特征。结果表明：年极端降水指数长期变化趋势表明,大部分极端降水指数在我国西北和长江中下游地区（除CDD）以及东南沿海和华南大部分地区均呈现增加趋势,而在华北地区为减少趋势。极端降水指数随时间的变化表明,各指数具有明显的年际和年代际变化,从2000年开始大部分指数表现为不同程度的增加趋势,即极端降水事件从2000年开始偏多。

关键词: 极端降水指数, 均一化降水资料, 年际和年代际变化

Abstract: By using the homogenized daily precipitation data of the 602 stations from 1961 to 2012 in China, the basic temporal and spatial characteristics of extreme precipitation events in China during the last 52 years are discussed based on 11 extreme precipitation indices published by World Meteorological Organization (WMO). The results are as follows. The linear trends of the indices of precipitation extremes suggest that all indices of extreme precipitation are increasing in Northwest China and mid-lower reaches of the Yangtze River except CDD. The linear trends of the indices of precipitation extremes are all decreasing in North China, but are ascending in southeastern coast and South China. The indices exhibit significant interannual and interdecadal variability, and the increasing trends are found in almost all 11 indices since 2000, suggesting that there are more extreme precipitation events in China since then.

Key words: homogenized daily precipitation data, inter-annual and interdecadal variability, the indices of extreme precipitation

中图分类号:

P426.61⁺4

武文博,游庆龙,王岱. 基于均一化降水资料的中国极端降水特征分析[J]. 自然资源学报, 2016, 31(6): 1015-1026.

WU Wen-bo, YOU Qing-long, WANG Dai. Characteristics of Extreme Precipitation in China Based on Homogenized Precipitation Data[J]. JOURNAL OF NATURAL RESOURCES, 2016, 31(6): 1015-1026.

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基于均一化降水资料的中国极端降水特征分析

Characteristics of Extreme Precipitation in China Based on Homogenized Precipitation Data

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