Zhiyuan Ding, Yao Ha, Yijia Hu, Yimin Zhu, Haixia Dai, Zhong Zhong
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引用次数: 0
Abstract
The Inner Tibetan Plateau (ITP), serving as a critical component of the Asian hydrological circulation, has witnessed an increase in summer extreme precipitation events under global warming. However, the spatiotemporal characteristics and underlying mechanisms of the events remain insufficiently understood. This study identifies two distinct synoptic patterns that govern summer regional extreme precipitation events (REPEs) over the ITP from 1979 to 2020. The first pattern (REPE1, constituting 50.5% of the events) is characterized by a Rossby wave train inducing a negative-positive-negative geopotential height anomaly, accompanied by moisture convergence via southwesterlies and convective updrafts over the southeastern ITP. Conversely, the second pattern (REPE2, 49.5%) features a persistent positive-negative-positive geopotential height anomaly associated with mid-to-high latitude circulation, along with moisture convergence driven by southeasterlies and ascending motions over the southwestern ITP. Moreover, both REPE1 and REPE2 have exhibited increased frequencies post-2010, with REPE2 showing a more pronounced upward trend. The rising frequencies of REPE1 and REPE2 have contributed significantly to the increase in extreme precipitation over the ITP in recent decades.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.