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Favorable Circulation Patterns and Moisture Sources for Wintertime Extreme Precipitation Events Over the Balkhash‐Junggar Region
Journal of Geophysical Research: Atmospheres ( IF 3.8 ) Pub Date : 2020-07-29 , DOI: 10.1029/2019jd032275
Xinsheng He 1 , Wenyu Huang 1 , Zifan Yang 1 , Jonathon S. Wright 1 , Bin Wang 2 , Zuowei Xie 3 , Tianpei Qiu 1 , Wenhao Dong 4, 5 , Hui Lu 1 , Xiang Li 6 , Jie Liao 7
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The Balkhash‐Junggar (B‐J) region is a typical dryland region with strong sensitivity to climate change. The snowstorms of the year 2009 caused financial damage worth of 2,516 million RMB. This study examines the dynamical features and the moisture sources associated with wintertime extreme precipitation over the B‐J region. The analyses are based primarily on the data set from ERA‐Interim during DJF 1979–2017. Both Lagrangian and Eulerian approaches are used to examine the moisture sources. An upper‐tropospheric Rossby wave train that extends from the North Atlantic Ocean to the B‐J region is found to play a leading role in the formation of 127 wintertime extreme precipitation events in the B‐J region. This Rossby wave train deepens a cyclonic anomaly in the lower troposphere over the B‐J region, which favors the development of strong southwesterly moisture transport and strong updrafts there. These conditions are favorable for the occurrence of extreme precipitation events over the B‐J region. Lagrangian moisture source analysis indicates that most of the moisture for precipitation during these events comes from terrestrial sources, with central Asia the key moisture source region. The Eulerian moisture budget analysis further shows that most of the moisture for extreme precipitation enters the B‐J region through its western boundary via enhanced southwesterly flow. These dynamical and moisture source analyses establish a set of valuable precursor conditions for predicting wintertime extreme precipitation events over the B‐J region.

中文翻译:

巴尔喀什-准gar尔地区冬季极端降水事件的有利环流模式和湿气源

巴尔喀什-准gar尔(BJ)地区是典型的干旱地区,对气候变化敏感。2009年的暴风雪造成的经济损失为25.16亿元人民币。本研究考察了BJ地区冬季极端降水的动力特征和水分源。这些分析主要基于1979-2017年DJF期间ERA-Interim的数据集。拉格朗日方法和欧拉方法均用于检查水分来源。发现从北大西洋到BJ区的对流层上的Rossby波列在BJ区127次冬季极端降水事件的形成中起着主导作用。Rossby波列加深了BJ区对流层下部的气旋异常,这有利于西南向强劲的水汽输送和那里强劲的向上气流的发展。这些条件有利于在B-J地区发生极端降水事件。拉格朗日河水源分析表明,在这些事件中,用于降水的大部分水都来自陆源,中亚是主要的水源区。欧拉水汽收支预算分析进一步表明,极端降水的大部分水汽通过其西南边界通过增加的西南风进入BJ地区。这些动力和水分源分析为预测BJ地区冬季的极端降水事件建立了一组有价值的前兆条件。这些条件有利于在B-J地区发生极端降水事件。拉格朗日河水源分析表明,在这些事件中,用于降水的大部分水都来自陆源,中亚是主要的水源区。欧拉水汽收支预算分析进一步表明,大多数极端降水的水汽通过增强的西南气流通过其西边界进入BJ地区。这些动力和水分源分析为预测BJ地区冬季的极端降水事件建立了一组有价值的前兆条件。这些条件有利于在B-J地区发生极端降水事件。拉格朗日河水源分析表明,在这些事件中,用于降水的大部分水都来自陆源,中亚是主要的水源区。欧拉水汽收支预算分析进一步表明,大多数极端降水的水汽通过增强的西南气流通过其西边界进入BJ地区。这些动力和水分源分析为预测BJ地区冬季极端降水事件建立了一组有价值的前兆条件。中亚是主要的水分来源地区。欧拉水汽收支预算分析进一步表明,大多数极端降水的水汽通过增强的西南气流通过其西边界进入BJ地区。这些动力和水分源分析为预测BJ地区冬季极端降水事件建立了一组有价值的前兆条件。中亚是主要的水分来源地区。欧拉水汽收支预算分析进一步表明,大多数极端降水的水汽通过增强的西南气流通过其西边界进入BJ地区。这些动力和水分源分析为预测BJ地区冬季极端降水事件建立了一组有价值的前兆条件。
更新日期:2020-08-18
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