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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:googlescopusNear-real-time satellite precipitation data ingestion into peak runoff forecasting models
ArticleAbstract: Extreme peak runoff forecasting is still a challenge in hydrology. In fact, the use of traditional pPalabras claves:Baseflow separation, Extreme runoff, Feature engineering, forecasting, IMERG, PERSIANN, Tropical AndesAutores:Corzo G., Jan Jozef Albert Feyen, Paul Muñoz, Rolando Enrique Célleri Alvear, Solomatine D.Fuentes: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