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江苏省近50 a夏季降水变化及其与ENSO的关系
引用本文:贝伊宁,刘健,靳春寒.江苏省近50 a夏季降水变化及其与ENSO的关系[J].气象科学,2019,39(6):747-754.
作者姓名:贝伊宁  刘健  靳春寒
作者单位:南京师范大学 虚拟地理环境教育部重点实验室/江苏省地理环境演化国家重点实验室培育建设点/江苏省地理信息资源开发与利用协同创新中心/地理科学学院, 南京 210023,南京师范大学 虚拟地理环境教育部重点实验室/江苏省地理环境演化国家重点实验室培育建设点/江苏省地理信息资源开发与利用协同创新中心/地理科学学院, 南京 210023;南京师范大学 江苏省大规模复杂系统数值模拟重点实验室/数学科学学院, 南京 210023;青岛海洋科学与技术试点国家实验室海洋-气候-同位素模拟开放工作室, 山东 青岛 266237,南京师范大学 虚拟地理环境教育部重点实验室/江苏省地理环境演化国家重点实验室培育建设点/江苏省地理信息资源开发与利用协同创新中心/地理科学学院, 南京 210023
基金项目:国家重点研发专项(2016YFA0600401);国家自然科学基金资助项目(41420104002;41971108;41671197;41631175);江苏高校优势学科建设项目(164320H116);中国科学院地球环境研究所黄土与第四纪地质国家重点实验室开放基金(SKLLQG1820)
摘    要:利用中国气象局2 400余个台站观测资料制作的数据集CN05.1中的降水资料、美国国家大气海洋局气候预测中心(NOAA/CPC)扩展重建的海表温度资料(ERSST v4)及美国国家环境预报中心(NCEP)和美国国家大气研究中心(NCAR)联合制作的逐日再分析资料NECP-1中的500 hPa位势高度场资料、850 hPa风场资料及海平面气压场资料,采用经验正交函数分解、功率谱分析等方法,探讨了近50 a江苏省夏季降水变化特征及其与ENSO的关系。结果表明:(1)江苏夏季降水呈现出两种典型的空间分布模态,第一模态呈现了全省降水一致变化的空间分布格局;第二模态反映了江苏省降水南北反向变化的特征。(2)两种降水模态对应的时间序列具有不同的周期。第一模态对应的时间序列存在明显的年际振荡(主周期为4~5 a);而第二模态则存在显著的年代际振荡(主周期为16 a)。(3)El Niňo事件次年江苏省夏季降水整体增多;La Niňa年江苏省夏季降水呈现南涝北旱的空间格局。

关 键 词:夏季降水  时空变化  ENSO  江苏省
收稿时间:2018/8/28 0:00:00
修稿时间:2018/12/5 0:00:00

Characteristics of summer precipitation over Jiangsu Province during the last 50 years and its relationship with ENSO
BEI Yining,LIU Jian and JIN Chunhan.Characteristics of summer precipitation over Jiangsu Province during the last 50 years and its relationship with ENSO[J].Scientia Meteorologica Sinica,2019,39(6):747-754.
Authors:BEI Yining  LIU Jian and JIN Chunhan
Institution:Key Laboratory for Virtual Geographic Environment of Ministry of Education/State Key Laboratory of Geographical Evolution of Jiangsu Provincial Cultivation Base/Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application/School of Geography Science, Nanjing Normal University, Nanjing 210023, China,Key Laboratory for Virtual Geographic Environment of Ministry of Education/State Key Laboratory of Geographical Evolution of Jiangsu Provincial Cultivation Base/Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application/School of Geography Science, Nanjing Normal University, Nanjing 210023, China;Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems/School of Mathematical Science, Nanjing Normal University, Nanjing 210023, China;Open Studio for the Simulation of Ocean-Climate-Isotope, Pilot National Laboratory for Marine Science and Technology(Qingdao), Shandong Qingdao 266237, China and Key Laboratory for Virtual Geographic Environment of Ministry of Education/State Key Laboratory of Geographical Evolution of Jiangsu Provincial Cultivation Base/Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application/School of Geography Science, Nanjing Normal University, Nanjing 210023, China
Abstract:Based on the precipitation dataset CN05.1 collected by more than 2 400 observation stations of the China Meteorological Administration, the Extended Reconstructed Sea Surface Temperature Version 4 (ERSST V4) from National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA/CPC), and the 500 hPa geopotential height data and 850 hPa wind and sea level pressure data from the daily reanalysis dataset jointly developed by the National Centers for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR), this paper discusses the characteristics of summer precipitation variation over Jiangsu Province during the last 50 years and its relationship with ENSO in ways of Empirical Orthogonal Function (EOF), the power spectrum, and the correlation analysis. The results show that:(1) There are two typical spatial distribution modes of summer precipitation over Jiangsu Province, namely the first EOF mode and the second EOF mode. The first one shows the spatial distribution pattern of the consistent change of precipitation in the whole Province, while the second mode reflects the reverse change of precipitation in the north and south of Jiangsu Province. (2) The corresponding Principal Components (PCs) of the two EOF modes have different significant periodicities. There is an inter-annual oscillation (a 4/5-year cycle) of the PC1 and an inter-decadal oscillation (a 16-year cycle) of the PC2. (3) The precipitation over the Jiangsu Province is sufficient during the following summer of the El Niño event. However, during the following summer of the La Niña event, the precipitation is generally abundant in the south of the Yangtze River and deficient in the north of the Yangtze River.
Keywords:summer precipitation  spatiotemporal variation  ENSO  Jiangsu Province
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