Rainfall and Cloud Dynamics in the Andes: A Southern Ecuador Case Study

Rainfall and Cloud Dynamics in the Andes: A Southern Ecuador Case Study
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安第斯山脉的降雨和云动态:厄瓜多尔南部案例研究

DOI:
10.1155/2016/3192765
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发表时间:
2016
影响因子:
2.9
通讯作者:
E Samaniego
E Samaniego
中科院分区:
地球科学4区
文献类型:
--
作者:
Campozano;R. Celleri;K. Trachte;J. Bendix ;E Samaniego

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世界各地的山区提出了一个显着的时空降水变化,这增加了稀缺的监测网络限制了我们的了解所涉及的生成过程。为了提高我们对山区云和降水动力学以及跨尺度生成过程的理解,我们使用Paute盆地(900-4200 m a.s.l.)的卫星云产品(SCP)分析了时空降雨模式。和6481平方公里)的厄瓜多尔安第斯山脉。降水模型,使用SCP和GIS数据,揭示了三个制度的空间扩展:三模态(TM)制度存在于整个盆地,双峰(BM)制度,沿着庇护山谷,和单峰(UM)制度在东部山脉迎风坡。随后,使用天气信息的时空分析表明,在北方夏季的BM制度的旱季是由强烈的沉降抑制对流云的形成。同时,在UM地区,低平流浅帽云主要是造成降水,在北方夏季来自亚马逊和增强东风的水汽的影响。TM区域是从UM到BM的过渡区和西部山脉迎风坡上的区域。这些结果突出了卫星和GIS数据驱动的统计模型的适用性,以研究时空降雨季节性和复杂地形的生成过程,如安第斯山脉。
Mountain regions worldwide present a pronounced spatiotemporal precipitation variability, which added to scarce monitoring networks limits our understanding of the generation processes involved. To improve our understanding of clouds and precipitation dynamics and cross‐scale generation processes in mountain regions, we analyzed spatiotemporal rainfall patterns using satellite cloud products (SCP) in the Paute basin (900–4200 m a.s.l. and 6481 km2) in the Andes of Ecuador. Precipitation models, using SCP and GIS data, reveal the spatial extension of three regimes: a three‐modal (TM) regime present across the basin, a bimodal (BM) regime, along sheltered valleys, and a unimodal (UM) regime at windward slopes of the eastern cordillera. Subsequently, the spatiotemporal analysis using synoptic information shows that the dry season of the BM regime during boreal summer is caused by strong subsidence inhibiting convective clouds formation. Meanwhile, in UM regions, low advective shallow cap clouds mainly cause precipitation, influenced by water vapor from the Amazon and enhanced easterlies during boreal summer. TM regions are transition zones from UM to BM and zones on the windward slopes of the western cordillera. These results highlight the suitability of satellite and GIS data‐driven statistical models to study spatiotemporal rainfall seasonality and generation processes in complex terrain, as the Andes.
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