| 中国冬季气温月际变化特征及其对大气环流异常的响应 |
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| 引用本文： | 孙健,李栋梁,邵鹏程,高娜.中国冬季气温月际变化特征及其对大气环流异常的响应[J].气象学报,2019,77(5):885-897. |
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| 作者姓名： | 孙健 李栋梁 邵鹏程 高娜 |
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| 作者单位： | 1.南京信息工程大学大气科学学院/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心/气候与环境变化国际合作联合实验室, 南京, 210044 |
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| 基金项目： | 国家重点研发计划项目（2018YFC1505602）。 |
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| 摘 要： | 基于1951—2014年中国160站月气温和NCEP/NCAR再分析资料，利用季节的经验正交函数分解（S-EOF）等方法，研究了中国冬季气温月际变化的时、空演变特征及其对大气环流异常的响应。结果表明，中国冬季气温在月尺度上常常出现前、后冬相反甚至冷暖交替的现象。中国冬季气温月际变化存在3个主模态:全冬一致型、前后反相型和冷暖交替型。当西伯利亚高压冬季一致偏强（偏弱）时，冬季一致冷（暖）；当海陆热力差异由强变弱、西伯利亚高压强度由强变弱，东亚西风急流比较稳定，强度偏强，位置由南向北移动时，冬季前冷后暖；当大气环流发生突变，尤其是海平面气压场和500 hPa位势高度场上大气活动中心的频繁调整，西伯利亚高压强度在月时间尺度上强弱交替时，冬季气温呈冷—暖—冷交替变化。
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| 关 键 词： | 季节的经验正交函数分解 冬季气温 月际变化 大气环流异常 |
| 收稿时间： | 2018/3/28 0:00:00 |
| 修稿时间： | 2019/4/12 0:00:00 |
Inter-monthly variation of winter air temperature in China and its relation with atmospheric circulation anomalies |
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| SUN Jian,LI Dongliang,SHAO Pengcheng and GAO Na.Inter-monthly variation of winter air temperature in China and its relation with atmospheric circulation anomalies[J].Acta Meteorologica Sinica,2019,77(5):885-897. |
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| Authors: | SUN Jian LI Dongliang SHAO Pengcheng and GAO Na |
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| Institution: | College of Atmospheric Science, Nanjing University of Information Science&Technology/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/International Joint Research Laboratory on Climate and Environment Change(ILCEC), Nanjing 210044, China;Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA/Ningxia Meteorological Bureau, Yinchuan 750001, China,College of Atmospheric Science, Nanjing University of Information Science&Technology/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/International Joint Research Laboratory on Climate and Environment Change(ILCEC), Nanjing 210044, China,College of Atmospheric Science, Nanjing University of Information Science&Technology/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/International Joint Research Laboratory on Climate and Environment Change(ILCEC), Nanjing 210044, China;National Climate Center, CMA/Laboratory for Climate Studies, Beijing 100081, China and Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, CMA/Ningxia Meteorological Bureau, Yinchuan 750001, China |
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| Abstract: | The method of Season-reliant EOF (S-EOF) is applied to analyze monthly temperature data collected at 160 stations in China from 1951-2014 and the NCEP/NCAR reanalysis data during the same period. The temporal-spatial variation of winter temperature and its relation with atmospheric circulation anomalies are studied. The results show that on the monthly scale, winter temperature in China often exhibits opposite pattern between prophase and anaphase of the winter, and even alternates between cold and warm. There are three typical patterns of winter air temperature variation in China, i.e., the pattern of consistent change in the whole winter, the reversed pattern between prophase and anaphase, and the warm-cold alternation pattern. When the Siberia high is strong (weak) in winter, temperature is cold (warm) correspondingly; when the land-sea thermal difference changes from strong to weak, the Siberia high intensity changes from strong to weak, too; when the East Asian westerly jet is relatively stable and strong and moves from south to north, the winter air temperature varies from cold to warm; when the seasonal variation of the atmospheric circulation is large, especially when the sea level pressure and active centers at 500 hPa geopotential height change frequently, and the Siberia high alternates between weak and strong on the monthly scale, the temperature in winter undergoes cold-warm-cold alternation. |
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| Keywords: | S-EOF Winter air temperature Inter-monthly variation Anomalous atmospheric circulation |
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