青藏高原与三大洋和南北极气候系统的相互作用

Interaction between the Qinghai-Tibet Plateau and the Climate Systems of the Three Oceans and the North and South Poles

  • 摘要: 青藏高原因其巨大的范围,高耸的地形和独特的地理位置,导致冬季副热带西风急流扰流分叉。夏季强烈的太阳短波辐射,地表感热加热以及降水产生的凝结潜热释放共同作用,使得青藏高原成为抬升至对流层中层的巨大热源。高原地形和热力作用对于局地天气系统,大尺度环流,以及周边天气气候的影响自上世纪中叶以来已有大量研究。近年来,随着资料的丰富和模式性能的逐步提升,再加之全球变暖背景下地球气候系统多圈层相互作用日益受到重视,青藏高原的全球气候效应逐渐受到关注。本文旨在总结和回顾国内外关于青藏高原与三大洋和南北极气候系统相互作用的研究进展,首先介绍表征青藏高原地形和热力作用内在统一性的地表位涡,然后总结和梳理青藏高原与三大洋和极地气候系统相互作用的途径和机理,主要包括大尺度定常波、大气-海洋桥的接力作用、对流层-平流层耦合、以及局地经圈环流。关于未来该领域的深入拓展,本文强调除了多圈层、多尺度相互作用的全球视角,还需要在传统的研究范式基础上,引入具有物理过程约束的人工智能等新方法的应用,从而构建更有效的气候预测模型。

     

    Abstract: Due to its vast area, towering terrain and unique geographical location, the Qinghai-Tibet Plateau induces bifurcation of the winter subtropical westerly jet stream. In summer, the intense solar shortwave radiation and land surface sensible heating, together with condensation latent heat release from precipitation, jointly make the Qinghai-Tibet Plateau as a huge heat source lifted to the middle layer of the troposphere. The topography and thermal effects of the plateau have been widely investigated for their influence on local weather systems, large-scale circulation, and surrounding weather and climate since the middle of the last century. In recent years, with the accumulation of data and the gradual improvement of model performance, and in the context of global warming, the interactions between the Qinghai-Tibet Plateau and the three major oceans and polar regions have received increasing attention. This paper aims to review the research progress on the interactions between the Qinghai-Tibet Plateau and the climate systems of the three major oceans and the polar regions. Firstly, it introduces the surface potential vorticity that characterizes the intrinsic unity of the topography and thermal effects of the Qinghai-Tibet Plateau. Then, it summarizes and sorts out the pathways and mechanisms of the interactions between the Qinghai-Tibet Plateau and the three major oceans and polar regions, mainly including large-scale stationary waves, the relay effect of the atmosphere-ocean bridge, troposphere-stratosphere coupling, and local zonal circulation. Regarding the in-depth expansion of this field in the future, this paper emphasizes that in addition to the global perspective of multi-layer and multi-scale interactions, new methods such as artificial intelligence with physical process constraints need to be introduced on the basis of the traditional research paradigm to build more effective climate prediction models.

     

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