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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:googlescopusBridging the gap from hydrological to biogeochemical processes using tracer-aided hydrological models in a tropical montane ecosystem
ArticleAbstract: How simple or complex catchment models need to be is still unclear particularly for tracer-aided modPalabras claves:Andes, Doc, Paramo, Stable isotopes, STORAGE, tracers, Transit timesAutores:Birkel C., Contreras P., Giovanny Mosquera, Irene Cárdenas, Juan Pesántez, Patricio Javier Crespo-Sánchez, 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