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国家自然科学基金(41305075)

作品数:4 被引量:24H指数:2
相关作者:封国林王晓娟乔少博更多>>
相关机构:常熟理工学院兰州大学中国气象局国家气候中心更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划公益性行业科研专项更多>>
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东亚北部地区气温的冬季-冬季再现特征研究被引量:2
2014年
对东亚北部(40—50°N,100—130°E)区域1953—2012年大气温度的冬季-夏季-次年冬季(简称冬季-冬季)的季节变化特征进行了初步研究.结果表明:2008年以来,该区域的气温从低层至高层(1000—400 h Pa)连续三年出现冬季偏冷-夏季偏暖-次年冬季偏冷的典型特征,20世纪50—60年代亦有类似情况;而20世纪90年代则出现了与此相反的冬季偏暖-夏季偏冷-次年冬季偏暖的变化特征.将这种典型的气温季节变化特征定义为一种新的变化机理:冬季-冬季再现(WWR).根据1953—2012年的历年变化情况将这60年划分为四种不同的类型:负(正)冬季-冬季再现(negative/positive WWR)型和负(正)冬季-冬季非再现(negative/positive non-WWR)型.其中,气温表现为WWR型的年份共计23年,出现概率近40%,并且该WWR特征是相对独立于El Nio-南方涛动指数的变化而存在的.对不同类型年份的位势高度场、垂直速度场及其850 h Pa风场进行的合成分析表明:对于WWR型,高层(500 h Pa)至低层(1000 h Pa)的大气内部动力过程具有与气温相匹配的冬季-冬季的再现特征;而non-WWR型则没有出现类似的特征,从而在一定程度验证了WWR存在的可能性.WWR的提出为进一步开展当前全球增暖背景下冬季低温事件的频发提供了一个新的思路.
王晓娟乔少博沈柏竹封国林
关键词:相关系数
中国冬季区域性极端低温事件分类及其与气候指数极端性的联系被引量:17
2013年
基于区域性极端低温事件客观识别技术,对1951—2010年中国冬季的区域性极端低温事件进行客观识别.根据事件的空间分布特征,将综合指数前60位的事件划分为全国型、东部型、东北-华北型、华北-华南型、北方型和西北-华南型六类;通过分析不同区域类型低温事件形成的环流背景场验证了分类的有效性.在此基础上,以1971年1月21日开始的典型事件为例,分析了事件对应的海温场、高度场和风场的异常,确定与区域性极端低温事件联系较密切的可能气候因子,进而分析不同类型事件与各气候指数异常的对应关系.总体而言,赤道中东太平洋海温指数异常偏小、北太平洋涛动指数异常偏小、北极涛动指数异常偏小和冬季风异常偏强时,发生区域性极端低温事件的概率较高;且这四种指数的历年冬季平均值达到15%(或85%)极端阈值的年份中,发生区域性极端低温事件的百分率分别达到80.0%,77.8%,60.0%和62.5%,从而为区域性极端低温事件的诊断和预测研究等提供了一定的参考.
王晓娟沈柏竹龚志强封国林
Dynamic-Analogue Correction of the Decadal Change of East Asian Summer Precipitation in the Late 1990s被引量:6
2016年
This paper systematically evaluates the deviations that appear in the hindcasts of the East Asian summer precipitation(EASP) decadal change in the late 1990 s in two global coupled models(BCC-CGCM and BCC-CSM).The possible causes for the deviations between the model hindcasts and observations are analyzed.The results show that the hindcasts of EASP by BCC-CGCM and BCC-CSM deviate from observations,with the anomaly correlation coefficient(ACC) being-0.01 and-0.09 for the two models,respectively.The SST anomalies in North and West Pacific and the SST index values predicted by the two models also deviate from the observations,indicating that inconsistent SST fields may be the key factor leading to the deviation in the prediction of the EASP decadal shift.Thus,a dynamic-analogue scheme is proposed to correct the precipitation hindcasts by using SSTs,where SST and EASP are highly correlated,to select historical analogue cases.Cross validations show that the average ACC of the temporal-latitude distribution of the EASP between the corrected hindcasts and observations is 0.18 for BCC-CGCM and0.02 for BCC-CSM;both are much higher than the uncorrected hindcasts.Applying the dynamic-analogue correction scheme in both models successfully improves prediction of the EASP decadal change in the late1990 s.
龚志强李尚峰胡泊沈柏竹封国林
Spatiotemporal distribution characteristics and attribution of extreme regional low temperature event
2015年
Based on an objective identification technique for regional low temperature event(OITRLTE), the daily minimum temperature in China has been detected from 1960 to 2013. During this period, there were 60 regional extreme low temperature events(ERLTEs), which are included in the 690 regional low temperature events(RLTEs). The 60 ERLTEs are analyzed in this paper. The results show that in the last 50 years, the intensity of the ERLTEs has become weak; the number of lasted days has decreased; and, the affected area has become small. However, that situation has changed in this century.In terms of spatial distribution, the high intensity regions are mainly in Northern China while the high frequency regions concentrate in Central and Eastern China. According to the affected area of each event, the 60 ERLTEs are classified into six types. The atmospheric circulation background fields which correspond to these types are also analyzed. The results show that, influenced by stronger blocking highs of Ural and Lake Baikal, as well as stronger southward polar vortex and East Asia major trough at 500-h Pa geopotential height, cold air from high latitudes is guided to move southward and abnormal northerly winds at 850 h Pa makes the cold air blow into China along diverse paths, thereby forming different types of regional extreme low temperatures in winter.
封泰晨张珂铨苏海晶王晓娟龚志强张文煜
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