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Article

Clustering of Rainfall Types Using Micro Rain Radar and Laser Disdrometer Observations in the Tropical Andes

1
Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca EC010207, Ecuador
2
Facultad de Ingeniería, Universidad de Cuenca, Cuenca EC010207, Ecuador
3
Institute for Environmental Sciences, Brandenburg University of Technology (BTU), Cottbus-Senftenberg, D-03046 Cottbus, Germany
4
Laboratory for Climatology and Remote Sensing, Philipps-University Marburg, D-35032 Marburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Luca Brocca
Remote Sens. 2021, 13(5), 991; https://doi.org/10.3390/rs13050991
Received: 28 January 2021 / Revised: 27 February 2021 / Accepted: 1 March 2021 / Published: 5 March 2021
(This article belongs to the Special Issue Remote Sensing of the Water Cycle in Mountain Regions)
Lack of rainfall information at high temporal resolution in areas with a complex topography as the Tropical Andes is one of the main obstacles to study its rainfall dynamics. Furthermore, rainfall types (e.g., stratiform, convective) are usually defined by using thresholds of some rainfall characteristics such as intensity and velocity. However, these thresholds highly depend on the local climate and the study area. In consequence, these thresholds are a constraining factor for the rainfall class definitions because they cannot be generalized. Thus, this study aims to analyze rainfall-event types by using a data-driven clustering approach based on the k-means algorithm that allows accounting for the similarities of rainfall characteristics of each rainfall type. It was carried out using three years of data retrieved from a vertically pointing Micro Rain Radar (MRR) and a laser disdrometer. The results show two main rainfall types (convective and stratiform) in the area which highly differ in their rainfall features. In addition, a mixed type was found as a subgroup of the stratiform type. The stratiform type was found more frequently throughout the year. Furthermore, rainfall events of short duration (less than 70 min) were prevalent in the study area. This study will contribute to analyze the rainfall formation processes and the vertical profile. View Full-Text
Keywords: rainfall types; k-means; micro rain radar; laser disdrometer; rainfall characteristics; tropical Andes rainfall types; k-means; micro rain radar; laser disdrometer; rainfall characteristics; tropical Andes
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MDPI and ACS Style

Urgilés, G.; Célleri, R.; Trachte, K.; Bendix, J.; Orellana-Alvear, J. Clustering of Rainfall Types Using Micro Rain Radar and Laser Disdrometer Observations in the Tropical Andes. Remote Sens. 2021, 13, 991. https://doi.org/10.3390/rs13050991

AMA Style

Urgilés G, Célleri R, Trachte K, Bendix J, Orellana-Alvear J. Clustering of Rainfall Types Using Micro Rain Radar and Laser Disdrometer Observations in the Tropical Andes. Remote Sensing. 2021; 13(5):991. https://doi.org/10.3390/rs13050991

Chicago/Turabian Style

Urgilés, Gabriela, Rolando Célleri, Katja Trachte, Jörg Bendix, and Johanna Orellana-Alvear. 2021. "Clustering of Rainfall Types Using Micro Rain Radar and Laser Disdrometer Observations in the Tropical Andes" Remote Sensing 13, no. 5: 991. https://doi.org/10.3390/rs13050991

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