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Título : The coastal El Niño event of 2017 in Ecuador and Peru: a weather radar analysis.
Otros títulos : 
Autor: Orellana Alvear, Johanna Marlene
Guallpa, Mario
Bendix, Jorg
Célleri Alvear, Rolando Enrique
Fries, Andreas
Rollenbeck, Rütger
Pucha Cofrep, Franz
Rodriguez, Rodolfo
Correspondencia: Rollenbeck, Rütger, enbeck@lcrs.de
Palabras clave : Precipitation climatology
Weather radar
Precipitation extremes
La Niña-modoki
Área de conocimiento FRASCATI amplio: 1. Ciencias Naturales y Exactas
Área de conocimiento FRASCATI detallado: 1.5.10 Recursos Hídricos
Área de conocimiento FRASCATI específico: 1.5 Ciencias de la Tierra y el Ambiente
Área de conocimiento UNESCO amplio: 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas
ÁArea de conocimiento UNESCO detallado: 0521 - Ciencias Ambientales
Área de conocimiento UNESCO específico: 052 - Medio Ambiente
Fecha de publicación : 2022
Volumen: Volumen 14, número 4
Fuente: Remote Sensing
metadata.dc.identifier.doi: 10.3390/rs14040824
Tipo: ARTÍCULO
Abstract: 
The coastal regions of South Ecuador and Peru belong to the areas experiencing the strongest impact of the El Niño Southern Oscillation phenomenon. However, the impact and dynamic development of weather patterns during those events are not well understood, due to the sparse observational networks. In spite of neutral to cold conditions after the decaying 2015/16 El Niño in the central Pacific, the coastal region was hit by torrential rainfall in 2017 causing floods, erosion and landslides with many fatalities and significant damages to infrastructure. A new network of X-band weather radar systems in South Ecuador and North Peru allowed, for the first time, the spatio-temporally high-resolution monitoring of rainfall dynamics, also covering the 2017 event. Here, we compare this episode to the period 2014–2018 to point out the specific atmospheric process dynamics of this event. We found that isolated warming of the Niño 1 and 2 region sea surface temperature was the initial driver of the strong rainfall, but local weather patterns were modified by topography interacting with the synoptic situation. The high resolution radar data, for the first time, allowed to monitor previously unknown local spots of heavy rainfall during ENSO-related extreme events, associated with dynamic flow convergence initiated by low-level thermal breezes. Altogether, the coastal El Niño of 2017, at the same time, caused positive rainfall anomalies in the coastal plain and on the eastern slopes of the Andes, the latter normally associated only with La Niña events. Thus, the 2017 event must be attributed to the La Niña Modoki type.
URI : http://dspace.ucuenca.edu.ec/handle/123456789/40276
https://www.scopus.com/record/display.uri?eid=2-s2.0-85124684928&origin=resultslist&sort=plf-f&src=s&st1=Event+of+2017+in+Ecuador+and+Peru%3a+A+Weather+Radar+Analysis&sid=0f608e08af2c3c3dff83dc75006feace&sot=b&sdt=b&sl=74&s=TITLE-ABS-KEY%28Event+of+2017+in+Ecuador+and+Peru%3a+A+Weather+Radar+Analysis%29&relpos=0&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1,FEATURE_EXPORT_REDESIGN:1
URI Fuente: https://www.mdpi.com/journal/remotesensing
ISSN : 2072-4292
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