高原气象

高原气象 >

2019 , Vol. 38 >Issue 6: 1158 - 1171

DOI: https://doi.org/10.7522/j.issn.1000-0534.2019.00001

论文

青藏高原季风的季节内振荡特征

  • 陈悦 ,
  • 李文铠 ,
  • 郭维栋
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  • 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/气候与环境变化国际合作联合实验室/气象灾害教育部重点实验室, 江苏 南京 210044;中国科学院大气物理研究所季风系统研究中心, 北京 100029;中国科学院大学, 北京 100049;南京大学气候与全球变化研究院/南京大学大气科学学院, 江苏 南京 210023

收稿日期: 2018-09-15

  网络出版日期: 2019-12-28

基金资助

国家重点研发计划项目（2018YFC1505804）；南京信息工程大学人才启动经费项目

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Characteristics of the Intraseasonal Oscillation of Qinghai-Tibetan Plateau Monsoon

  • CHEN Yue ,
  • LI Wenkai ,
  • GUO Weidong
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  • Key Laboratory of Meteorological Disaster, Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;Center for Monsoon System Research Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;University of Chinese Academy of Sciences, Beijing 100049, China;Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, Jiangsu, China

Received date: 2018-09-15

  Online published: 2019-12-28

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摘要

利用ERA-Interim再分析资料，采用集合经验模态分解、功率谱分析、合成分析等方法，研究了青藏高原（下称高原）季风指数（Qinghai-Tibetan Plateau Monsoon Index，QTPMI）所表征的青藏高原季风季节内振荡特征，结果表明：（1）高原季风变率的季节内分量（10~90天）在总变率中占据了可观的比例，QTPMI的季节内分量可解释总变率的26%，在夏季的解释方差可达37%；（2）QTPMI的季节内振荡与其相应周期的低频大气环流异常（对流层中高层异常气旋、反气旋）东移经过高原上空过程相联系，且异常信号的强度在向东传播的过程中存在增强-减弱-增强-减弱的演变特征（即到达高原前增强，在高原上东移减弱，移出高原后增强，继续东移入海时减弱）；（3）高原夏季风期间环流与大气热源在季节内振荡上有一致性，呈现高原夏季风强（弱），大气热源强（弱）的关系。

关键词： 青藏高原季风; 大气季节内振荡; 大气热源; 合成分析

本文引用格式

陈悦 , 李文铠 , 郭维栋 . 青藏高原季风的季节内振荡特征[J]. 高原气象, 2019 , 38(6) : 1158 -1171 . DOI: 10.7522/j.issn.1000-0534.2019.00001

Abstract

The intraseasonal variability of Qinghai-Tibetan Plateau monsoon (QTPM) has been largely ignored. Based on the ERA-Interim reanalysis data, the characteristics of the intraseasonal oscillation of QTPM revealed by QTPM index (QTPMI) are analyzed by using Ensemble Empirical Mode Decomposition, spectrum and composite analysis. The results show that:(1) The intraseasonal component (10~90 days) of QTPM is dominant for total variability. The intraseasonal component explains approximate 26% of the total variability, and even more dominant in summer (37%). (2) The intraseasonal variability of QTPM variability is associated with the eastward movement of the low-frequency atmospheric circulation anomalies (i. e., the middle-and upper-tropospheric anomalous cyclones and anticyclones) over the plateau. During the eastward propagation of the anomalous signal, the intensity of the anomalous signal has the evolutional characteristics of strengthening-weakening-strengthening-weakening (for example, strengthening before reaching the plateau, weakening eastward on the plateau, strengthening after moving out of the plateau, and weakening when moving eastward into the sea). (3) There is consistency between the circulation and the atmospheric heat source during summer QTPM, showing the relationship between the summer QTPM strengthening (weakening) and the atmospheric heat source strengthening (weakening) over the Qinghai-Tibetan Plateau.

Key words： Qinghai-Tibetan Plat; atmospheric intrasea; atmospheric heat sou; composite analysis

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