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Local indices for the South American monsoon system and its impacts on Southeast Brazilian precipitation patterns

机译:南美季风系统的当地指数及其对巴西东南部降水模式的影响

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摘要

The South American monsoon system (SAMS) plays a fundamental role in the precipitation regime of the most populous and economically important regions in Brazil. The South Atlantic Convergence Zone (SACZ) is a main component of the SAMS, characterizing its active phase, and is often associated with intense rainfall events: Strong and persistent episodes cause severe floods and landslides, while weak and sparse episodes are associated with droughts. The variability of the convergence zone caused great natural disasters in Southeast Brazil, associated with extreme precipitation conditions: 3562 landslides killed 947 people in Rio de Janeiro state in 2011, while a shortage of water in So Paulo affected around 20 million people between 2014 and 2015. In the present study, we build SACZ configuration series for the period between January 2000 and June 2014 and use them as indicators for the SAMS to quantify its influence on several atmospheric variables. Based on a principal component analysis, we present indices that identify the configuration of the SACZ in a local scale. The indices reached strong accuracy rates, especially for identifying days of extreme rainfall events associated with the SAMS and may, thus, serve as decision-making tools to help prepare for their impacts. Furthermore, the indices are composed by common variables simulated by numerical weather and climate models, other than precipitation, which is often a not very reliable output. The applied methodology is easily reproducible and different variables may be used to compose indices for different regions-an advantage of this local-scale approach.
机译:南美季风系统(SAMS)在巴西人口最多和经济上重要的地区的降水机制中起着重要作用。南大西洋收敛区(SACZ)是SAMS的主要组成部分,具有活跃阶段的特征,通常与强降雨事件有关:强而持续的事件导致严重的洪水和山体滑坡,而弱而稀疏的事件则与干旱有关。收敛带的多变性在巴西东南部造成了巨大的自然灾害,并伴有极端降雨条件:2011年,里约热内卢州3562处山体滑坡导致947人丧生,而2014年至2015年间,圣保罗缺水影响了约2000万人在本研究中,我们建立了2000年1月至2014年6月期间的SACZ配置系列,并将其用作SAMS的指标以量化其对几个大气变量的影响。在主成分分析的基础上,我们提出了一些指标,这些指标在本地范围内标识了SACZ的配置。该指数达到了很高的准确率,尤其是在识别与SAMS相关的极端降雨事件的日子时,因此可以用作决策工具,以帮助准备其影响。此外,指数是由数字天气和气候模型模拟的公共变量组成的,而不是降水,而降水通常不是很可靠。所应用的方法易于重现,并且可以使用不同的变量来组成不同区域的索引,这是该局部方法的优势。

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