青藏高原深对流活动及其对大气成分的输送过程研究

夏季青藏高原地区是低层水汽和污染物等大气成分进入平流层的一个重要通道，深对流活动起着非常关键的作用。本项目拟采用多源资料（CLOUDSAT、CALIPSO、TRMM等卫星资料、探空资料、常规资料等）研究青藏高原地区深对流活动的时空分布特征，包括深对流的区域分布、发生频率、不同时间尺度变化和主出流高度等；进一步通过直接计算和Wei方法，计算分析高原地区的对流层-平流层输送通量，并开展对比分析，探讨深对流输送对于平流层大气成分的影响；利用HYSPLIT轨迹模式，探讨青藏高原地区UTLS区域的水汽、气溶胶、臭氧等大气成分的输送路径和过程；最后利用WRF-Chem化学耦合模式，模拟青藏高原地区的逐日天气过程，探讨青藏高原地区的深对流活动及其对水汽等大气成分的输送过程和内在机制。项目成果将为青藏高原影响区域与全球能量和水分循环的机制研究提供重要的科学依据，对气候预测及天气预报的改进也具有积极的意义。

Qinghai-Xizang Plateau is a key pathway for the tropospheric chemical species such as water vapor and pollutants transporting into the global stratosphere. During the process deep convection play a key contribute to the transporting. Multi-source observation data(satellite data including CLOUDSAT, CALIPSO,TRMM,et al., sounding data,and station ovservation data ) will be used to interview the spacial distribution and time variation of the deep convection system. Its spacial distribution, frequency, multi-scale change and main outflow height will be studied in detail. Then the transportation fluxes will be calculated through direct calculation and Wei method to discuss its effect on the species in the stratosphere. At the same time, the HYSPLIT trace model will be used to study the transport path and process of the species such as the water vapor, aerosol and O3. Besides these, the coupled atmospheric chemistry-climate model WRF-Chem will be used to perform the daily weather process so that we can reveal the transport process and internal mechanism of the deep convection.The study relsults will play a significant contribute to study the effect of the Tibetan Plateau on the regional/global energy and water cycle .The research may improve the climate prediction and weather forecasting.