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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/29136
Title: Rainfall and Cloud Dynamics in the Andes: A Southern Ecuador Case Study
Authors: Campozano Parra, Lenin Vladimir
Celleri Alvear, Rolando Enrique
Samaniego Alvarado, Esteban Patricio
metadata.dc.ucuenca.correspondencia: Campozano, L.; Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de CuencaEcuador; email: lenin.campozano@ucuenca.edu.ec
Issue Date: 1-Jan-2016
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.ucuenca.volumen: 2016
metadata.dc.source: Advances in Meteorology
metadata.dc.identifier.doi: 10.1155/2016/3192765
Publisher: HINDAWI PUBLISHING CORPORATION
metadata.dc.type: Article
Abstract: 
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.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958231077&doi=10.1155%2f2016%2f3192765&partnerID=40&md5=62a471cc97dd89e29cf572d4a81f315e
http://dspace.ucuenca.edu.ec/handle/123456789/29136
ISSN: 16879309
Appears in Collections:Artículos

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