热带气象学报2012，Vol.28Issue(3)：311-320,10.DOI:10.3969/j.issn.1004-4965.2012.03.003
我国四季极端雨日数时空变化及其与海表温度异常的关系
SPATIO-TEMPORAL VARIATION OF SEASONAL EXTREME WET DAYS IN CHINA AND ITS RELATIONSHIP WITH SST ANOMALIES
摘要
Abstract
With daily precipitation records at 586 stations in China for 1960-2004, this study investigates the spatio-temporal variation of the number of extreme wet days (NEWD) for each season in China and its relationship with SST anomalies and associated atmospheric circulation anomaly patterns, in which a threshold of extreme precipitation for a season and a station is defined as the value of the 90th percentile when the precipitation records for wet days during the season are ranked ascendingly. Results show that there are significant increases of the NEWD along the Yangtze River Valley during winter and summer, in North China during winter, in South China during spring, in Northeast China during winter and spring, and in Northwest China throughout the seasons, while there is a remarkable decrease in North China during summer. Besides the linear trend, the NEWD also exhibits considerable interannual and interdecadal variabilities. After eliminating the linear trend, the NEWD anomalies show distinct seasonal patterns. The NEWD anomalies are characterized by a "dipole" mode between the north and south of Yangtze River valley in spring and autumn, a "tripole" mode between Yangtze River valley and South and North China in summer, and a "monopole" mode over most of China in winter. The relationship of the NEWD anomalies in China with the SST anomalies in Indian and Pacific Oceans is found to be mainly dependent of the ENSO, and associated atmospheric circulation anomaly patterns for the ENSO's impact on the NEWD in China are identified.关键词
极端降水/极端雨日数/海表温度异常/ENSOKey words
extreme precipitation/ number of extreme wet days/ SST anomaly/ ENSO分类
天文与地球科学引用本文复制引用
谢益军,邹用昌,谢倩,房佳蓓,杨修群..我国四季极端雨日数时空变化及其与海表温度异常的关系[J].热带气象学报,2012,28(3):311-320,10.基金项目
973项目(2010CB428504):国家自然科学基金项目(40730953, 40805025) （2010CB428504）
公益性行业(气象)科研专项(GYHY200806004,GYHY200706005) （气象）
江苏省自然科学基金创新学者攀登项目(BK2008027)共同资助 （BK2008027）
