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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/34266
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dc.contributor.authorFigueroa Tauquino, Rafael-
dc.contributor.authorSeidel, Jochen-
dc.contributor.authorHuggel, Christian-
dc.contributor.authorFernandez Rosales, Ciro Walter-
dc.contributor.authorBendix, Jorg-
dc.contributor.authorTrachte, Katja-
dc.contributor.authorCelleri Alvear, Rolando Enrique-
dc.contributor.authorOrellana Alvear, Johanna Marlene-
dc.date.accessioned2020-05-11T23:58:29Z-
dc.date.available2020-05-11T23:58:29Z-
dc.date.issued2019-
dc.identifier.issn20724292-
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/34266-
dc.identifier.urihttps://api.elsevier.com/content/abstract/scopus_id/85077901648-
dc.description© 2019 by the authors. In remote areas with steep topography, such as the Tropical Andes, reliable precipitation data with a high temporal resolution are scarce. Therefore, studies focusing on the diurnal properties of precipitation are hampered. In this paper, we investigated two years of data from Micro-Rain Radars (MRR) in Cuenca, Ecuador, and Huaraz, Peru, from February 2017 to January 2019. This data allowed for a detailed study on the temporal precipitation characteristics, such as event occurrences and durations at these two locations. Our results showed that the majority of precipitation events had durations of less than 3 h. In Huaraz, precipitation has a distinct annual and diurnal cycle where precipitation in the rainy season occurred predominantly in the afternoon. These annual and diurnal cycles were less pronounced at the site in Cuenca, especially due to increased nocturnal precipitation events compared to Huaraz. Furthermore, we used a fuzzy logic classification of fall velocities and rainfall intensities to distinguish different precipitation types. This classification showed that nightly precipitation at both locations was predominantly stratiform, whereas (thermally induced) convection occurred almost exclusively during the daytime hours.-
dc.description.abstract© 2019 by the authors. In remote areas with steep topography, such as the Tropical Andes, reliable precipitation data with a high temporal resolution are scarce. Therefore, studies focusing on the diurnal properties of precipitation are hampered. In this paper, we investigated two years of data from Micro-Rain Radars (MRR) in Cuenca, Ecuador, and Huaraz, Peru, from February 2017 to January 2019. This data allowed for a detailed study on the temporal precipitation characteristics, such as event occurrences and durations at these two locations. Our results showed that the majority of precipitation events had durations of less than 3 h. In Huaraz, precipitation has a distinct annual and diurnal cycle where precipitation in the rainy season occurred predominantly in the afternoon. These annual and diurnal cycles were less pronounced at the site in Cuenca, especially due to increased nocturnal precipitation events compared to Huaraz. Furthermore, we used a fuzzy logic classification of fall velocities and rainfall intensities to distinguish different precipitation types. This classification showed that nightly precipitation at both locations was predominantly stratiform, whereas (thermally induced) convection occurred almost exclusively during the daytime hours.-
dc.language.isoes_ES-
dc.sourceRemote Sensing-
dc.subjectDiurnal precipitation characteristics-
dc.subjectTropical Andes-
dc.subjectMicro-rain radar-
dc.titlePrecipitation characteristics at two locations in the tropical andes by means of vertically pointing micro-rain radar observations-
dc.typeARTÍCULO-
dc.ucuenca.idautorSgrp-2894-4-
dc.ucuenca.idautorSgrp-2894-1-
dc.ucuenca.idautorSgrp-2894-2-
dc.ucuenca.idautor0104162268-
dc.ucuenca.idautor0602794406-
dc.ucuenca.idautorSgrp-2894-6-
dc.ucuenca.idautorSgrp-2894-7-
dc.ucuenca.idautorSgrp-25894-8-
dc.identifier.doi10.3390/rs11242985-
dc.ucuenca.versionVersión publicada-
dc.ucuenca.areaconocimientounescoamplio05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas-
dc.ucuenca.afiliacionOrellana, J., University of Marburg, Marburg, Alemania; Orellana, J., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador-
dc.ucuenca.afiliacionSeidel, J., University of Stuttgart, Stuttgart, Alemania-
dc.ucuenca.afiliacionTrachte, K., Brandenburg University of Technology (BTU) Cottbus, Cottbus, Alemania-
dc.ucuenca.afiliacionFigueroa, R., Universidad Nacional Santiago Antúnez de Mayolo, Huaraz, Peru-
dc.ucuenca.afiliacionCelleri, R., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador-
dc.ucuenca.afiliacionBendix, J., Universitat Marburg, Marburg, Alemania-
dc.ucuenca.afiliacionFernandez, C., Universidad Nacional Santiago Antúnez de Mayolo, Huaraz, Peru-
dc.ucuenca.afiliacionHuggel, C., University of Zurich, Zurich Switzerland, Suiza-
dc.ucuenca.correspondenciaSeidel, Jochen, jochen.seidel@iws.uni-stuttgart.de-
dc.ucuenca.volumenVolumen 11, Número 24-
dc.ucuenca.indicebibliograficoSCOPUS-
dc.ucuenca.factorimpacto1.43-
dc.ucuenca.cuartilQ1-
dc.ucuenca.numerocitaciones14687-
dc.ucuenca.areaconocimientofrascatiamplio1. Ciencias Naturales y Exactas-
dc.ucuenca.areaconocimientofrascatiespecifico1.5 Ciencias de la Tierra y el Ambiente-
dc.ucuenca.areaconocimientofrascatidetallado1.5.10 Recursos Hídricos-
dc.ucuenca.areaconocimientounescoespecifico052 - Medio Ambiente-
dc.ucuenca.areaconocimientounescodetallado0522 - Medio Ambiente y Vida Silvestre-
dc.ucuenca.urifuentehttps://www.mdpi.com/journal/remotesensing-
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