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Clustering of rainfall types using micro rain radar and laser disdrometer observations in the tropical andes
ArticleAbstract: Lack of rainfall information at high temporal resolution in areas with a complex topography as the TPalabras claves:K-Means, Laser disdrometer, Micro rain radar, Rainfall characteristics, Rainfall types, Tropical AndesAutores:Bendix J., Gabriela Urgilés, Johanna Orellana-Alvear, Rolando Enrique Célleri Alvear, Trachte K.Fuentes:scopusAssessment of native radar reflectivity and radar rainfall estimates for discharge forecasting in mountain catchments with a random forest model
ArticleAbstract: Discharge forecasting is a key component for early warning systems and extremely useful for decisionPalabras claves:Andes, Discharge forecasting, Machine learning, Mountain region, Native radar data, Radar rainfall, Radar reflectivity, X-bandAutores:Bendix J., Contreras P., Johanna Orellana-Alvear, Paul Muñoz, Rolando Enrique Célleri Alvear, Rollenbeck R.Fuentes:googlescopusAssessment of satellite-based rainfall products using a x-band rain radar network in the complex terrain of the ecuadorian andes
ArticleAbstract: Ground based rainfall information is hardly available in most high mountain areas of the world due tPalabras claves:complex terrain, ECUADOR, GPM IMERG, Radar network, rainfall, Satellite retrievalAutores:Andreas Fries, Bendix J., Franz Pucha-Cofrep, Johanna Orellana-Alvear, Natalia Horna, Rollenbeck R., Thies B., Turini N.Fuentes:googlescopusAtmosphere-surface fluxes modeling for the high Andes: The case of páramo catchments of Ecuador
ArticleAbstract: Interest in atmosphere-surface flux modeling over the mountainous regions of the globe has increasedPalabras claves:CLM, Eddy covariance, Evapotranspiration, Metric, Paramo, Tropical AndesAutores:Ana Ochoa-Sánchez, Bendix J., Galo José Carrillo Rojas, Johanna Orellana-Alvear, Rolando Enrique Célleri Alvear, Schulz H.M., Trachte K.Fuentes:googlescopusAnalysis of rain types and their Z-R relationships at different locations in the high andes of southern Ecuador
ArticleAbstract: Information on the spatiotemporal rainfall occurrence, its microphysical characteristics, and its rePalabras claves:complex terrain, Drop size distribution, In situ atmospheric observations, Local effects, Mountain meteorology, rainfallAutores:Bendix J., Johanna Orellana-Alvear, Rolando Enrique Célleri Alvear, Rollenbeck R.Fuentes:googlescopusDetermination of climatic conditions related to precipitation anomalies in the Tropical Andes by means of the random forest algorithm and novel climate indices
ArticleAbstract: Understanding precipitation and its relation with atmospheric and oceanic conditions is vital in thePalabras claves:Andes, climate anomalies, K-Means, large-scale climate oscillations, Machine learning, rainfall, SOUTH AMERICA, tropicsAutores:Johanna Orellana-Alvear, Mario Guallpa, Rolando Enrique Célleri Alvear, Rollenbeck R.Fuentes:googlescopusCalibration of X-band radar for extreme events in a spatially complex precipitation region in north peru: Machine learning vs. empirical approach
ArticleAbstract: Cost-efficient single-polarized X-band radars are a feasible alternative due to their high sensitiviPalabras claves:extreme events, Machine learning, Quantitative precipitation estimate, random forest, Tropical desert, Tropical mountains, weather radarAutores:Johanna Orellana-Alvear, Macalupu S., Nolasco P., Rodriguez R., Rollenbeck R.Fuentes:googlescopusFlash-flood forecasting in an andean mountain catchment-development of a step-wise methodology based on the random forest algorithm
ArticleAbstract: Flash-flood forecasting has emerged worldwide due to the catastrophic socio-economic impacts this haPalabras claves:Flash-flood, forecasting, Lag analysis, Machine learning, Precipitation-runoff, random forestAutores:Johanna Orellana-Alvear, Patrick Willems, Paul Muñoz, Rolando Enrique Célleri AlvearFuentes:googlescopusFlood early warning systems using machine learning techniques: The case of the tomebamba catchment at the southern Andes of Ecuador
ArticleAbstract: Worldwide, machine learning (ML) is increasingly being used for developing flood early warning systePalabras claves:Andes, Flood early warning, forecasting, hydrological extremes, Machine learningAutores:Bendix J., Jan Jozef Albert Feyen, Johanna Orellana-Alvear, Paul Muñoz, Rolando Enrique Célleri AlvearFuentes:googlescopusNear-surface air temperature lapse rate over complex terrain in the Southern Ecuadorian Andes: Implications for temperature mapping
ArticleAbstract: Near-surface air temperature variation with altitude (Tlr) is important for several applications incPalabras claves:Autores:Abril Andrés Orellana Olmedo, Andrés Abril, Galo José Carrillo Rojas, J Orellana-Alvear, Johanna Orellana-Alvear, Mário Andrés Cordova Mora, Mario Guallpa, Rolando Enrique Célleri Alvear, Shellito C.Fuentes:googlerraaescopus