| 海表温度异常对南亚高压年代际变化影响的数值模拟 |
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| 引用本文： | 曾刚,张顾炜,武英娇,孙照渤.海表温度异常对南亚高压年代际变化影响的数值模拟[J].气象科学,2016,36(4):436-447. |
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| 作者姓名： | 曾刚 张顾炜 武英娇 孙照渤 |
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| 作者单位： | 南京信息工程大学 气象灾害预报预警与评估协同创新中心/气象灾害教育部重点实验室, 南京 210044;中国科学院 陆面过程与气候变化重点实验室, 兰州 730000;高原大气与环境四川省重点实验室, 成都 610225,南京信息工程大学 气象灾害预报预警与评估协同创新中心/气象灾害教育部重点实验室, 南京 210044,南京信息工程大学 气象灾害预报预警与评估协同创新中心/气象灾害教育部重点实验室, 南京 210044,南京信息工程大学 气象灾害预报预警与评估协同创新中心/气象灾害教育部重点实验室, 南京 210044 |
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| 基金项目： | 中国科学院寒旱所陆面过程与气候变化重点实验室开放基金项目（LPCC201502）；国家重点基础研究发展计划（973计划）项目（2013CB430202）；江苏省自然科学基金面上项目（BK20131431）；重庆市气象局开放式研究基金（kfjj-201302）；高原大气与环境四川省重点实验室开放课题（PAEKL-2013-K1） |
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| 摘 要： | 应用NCAR CAM3全球大气环流模式以及NCEP/NCAR再分析资料,研究了不同海域(全球、热带外、热带、热带印度洋—太平洋、热带印度洋及热带太平洋)的海表温度异常对夏季南压高压年代际变化的影响。结果表明,全球、热带、热带印度洋—太平洋和热带太平洋这些海域的海表温度异常都对南亚高压强度、面积、南界、西伸脊点和东伸脊点的1970s中后期年代际变化有重要影响:热带太平洋是关键海区,其海表温度第三模态(“三明治”式异常分布型)的变化与南亚高压的这些特征指数的年代际变化关系密切;热带印度洋的海表温度异常,主要是其第一模态(热带印度洋全区一致变化型)的变化与南亚高压强度、面积、南界和西伸脊点的年代际变化关系较密切,热带印度洋也是影响南亚高压年代际变化的关键海区;这两个关键海区的海表温度异常对南亚高压年代际变化影响的主要差异在于:热带太平洋海表温度异常能对南亚高压的东伸脊点的年代际变化有重要影响,而热带印度洋的海表温度异常对其影响小;热带太平洋和热带印度洋这两个海区的海表温度异常均可通过影响热带对流层大气温度的变化进而使南亚高压发生变化;热带外的海表温度异常对南亚高压的年代际变化影响小。
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| 关 键 词： | 南亚高压 年代际变化 海表温度异常 数值模拟 |
| 收稿时间： | 2/2/2015 12:00:00 AM |
| 修稿时间： | 2015/3/20 0:00:00 |
Numerical simulation of sea surface temperature anomaly effect on the interdecadal variation of the South Asian high |
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| ZENG Gang,ZHANG Guwei,WU Yingjiao and SUN Zhaobo.Numerical simulation of sea surface temperature anomaly effect on the interdecadal variation of the South Asian high[J].Scientia Meteorologica Sinica,2016,36(4):436-447. |
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| Authors: | ZENG Gang ZHANG Guwei WU Yingjiao and SUN Zhaobo |
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| Institution: | Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;Key Laboratory for land surface Process and Climate in Cold and Air Regions, Chinese Academy of Science, Lanzhou 730000, China;Key Laboratory Plateau Atmosphere and Environment of Sichuan Province, Chengdu 610225, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China |
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| Abstract: | By using the NCAR CAM3 global atmospheric circulation model and NCEP/NCAR reanalysis data, the Sea Surface Temperature Anomaly(SSTA) effects in different sea areas (global, extra-tropical, tropical, tropical Indian ocean-Pacific, tropical Indian ocean and tropical Pacific) on the interdecadal variation of the South Asia High(SAH) were analyzed. Results suggest that the global, tropical, tropical Indian ocean-Pacific and tropical Pacific have great effects on the interdecadol variation of the intensity,area,south,west and east borders of SAH in late 1970s. The tropical Pacific is a key sea area whose third mode of the SSTA has a close association with the interdecadal variation of these SAH indices. The change of SSTA in tropical Indian ocean is associated with the interdecadal variation of the intensity, area, south and west borders of SAH, due to its first mode shown by the in-phase SSTA in tropical Indian ocean, which indicates that this sea area is also a key area in affecting the interdecadal variation of SAH. The main difference between the effects of the tropical Pacific and tropical Indian ocean on the interdecadal variability of SAH is that the former has important effect on the interdecadal variability of eastward extension of SAH and the latter is weaker. The SSTAs in the tropical Pacific and tropical Indian Ocean impact the SAH through affecting the changes of tropical tropospheric temperature driven by these SSTAs. The extra-tropical SSTAs have the weaker impact on the SAH. |
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| Keywords: | SAH Interdecadal variation SSTA Numerical simulation |
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