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Assessment 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:googlescopusApplication of LS-SVMs to ozone forecasting in Belgium
OtherAbstract: Very few circumstances in my life have made me feel so challenged. This experience studying abroad hPalabras claves:Autores:Johanna Orellana-AlvearFuentes:googleApplication of a machine learning technique for developing short-term flood and drought forecasting models in tropical mountainous catchments
OtherAbstract: Floods and droughts are among the most common natural hazards worldwide. They produce major impactsPalabras claves:Autores:Johanna Orellana-Alvear, Rolando Enrique Célleri AlvearFuentes:googleExploitation of X-band Weather Radar Data in the Andes High Mountains and Its Application in Hydrology: a Machine Learning Approach
OtherAbstract:Palabras claves:Autores:Johanna Orellana-AlvearFuentes:googleExploring a machine learning model as radar rainfall retrieval of the highest X-band radar in the world.
OtherAbstract: Quantitative precipitation estimation (QPE) from weather radar data is crucial for hydrological applPalabras claves:Autores:Johanna Orellana-Alvear, Rolando Enrique Célleri AlvearFuentes:googleFlash-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:googlescopusInfluence of random forest hyperparameterization on short-term runoff forecasting in an andean mountain catchment
ArticleAbstract: The Random Forest (RF) algorithm, a decision-tree-based technique, has become a promising approach fPalabras claves:Machine learning, Optimal hyperparameters, random forest, Runoff forecasting, Tropical AndesAutores:Bendix J., Contreras P., Johanna Orellana-Alvear, Paul Muñoz, Rolando Enrique Célleri AlvearFuentes:googlescopus