ENSO和AO对长三角冬季雾过程气象条件的综合影响

雾是长三角冬季多发的灾害性天气，严重影响交通、生活及人体健康。以往多研究局地气象条件对雾生消演变的作用，或分析区域雾长期变化与气象要素间的可能联系，雾的历史演变与大气环流之间的关系是迫切需要研究的科学问题。雾是时空尺度跨度较大的近地层大气现象，但雾发生的气象条件，取决于环流提供的水汽、水汽凝结的热力条件及影响水汽输送和扩散的动力因子。ENSO对南方冬季水汽输送作用显著，AO(北极涛动)是北方冷空气活动的重要信号，长三角位于ENSO和AO影响的交汇区。为此，本项目以长三角为研究区域，利用近64年气象观测资料、再分析资料、AO和ENSO指数等资料，分析长三角冬季及季内各月雾日的演变，对比分析多雾年与少雾年的气候异常。分析ENSO所影响的水汽输送与AO影响的冷空气活动的协同配合，讨论两者对长三角冬季雾发生条件的综合影响。该研究渴望了解雾过程的气象条件与气候的关系，为雾的短期趋势预测提供参考依据。

Fog is one of prone disaster weathers over Yangtze River in winter , severe impact on traffic, life and human health. More research into the role of the previous local meteorological conditions on the evolution and extinction of fog, mist may contact or long-term analysis of regional variations and meteorological factors between the historical evolution of the relationship between the fog and atmospheric circulation is an urgent need for scientific research questions. Fog is a large span of time and space scales nearly formation of atmospheric phenomena, but foggy weather conditions occur, depending on the circulation of water vapor provided, thermal conditions and the effect of condensation of water vapor transport and diffusion of power factor. Southern winter ENSO significant effect on water vapor transport, AO (Arctic Oscillation) is an important signal of cold air north of the Yangtze River Delta is located in the intersection of ENSO and AO impact zone. To this end, the project for the study of the Yangtze River Delta region, the use of nearly 64 years of meteorological data, reanalysis, AO and ENSO index data, analysis and evolution of the winter season in the Yangtze River Delta foggy day of each month, the comparative analysis of foggy years In less fog and climate anomalies. Analysis of the impact of ENSO synergy vapor transport and the impact of cold air AO discuss the combined effects of both on the Yangtze River in winter fog occurrence condition. The study of the relationship between the desire to understand the process of fog weather conditions and climate, as the short-term trend forecasting fog provide references.