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Climate change impacts on biomes and aridity in Peru
(European Geosciences Union, 2020-06-12)
The preliminary results showed that random forest worked best for the PB imbalanced data, having a 0.84 weighted average in precision and recall metric. The model reproduces 9 of the PB with low error 4.5% and overestimates ...
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ANDES: The first system for flash flood monitoring and forecasting in Peru
(European Geosciences Union, 2020)
Hydrological hazards related to flash floods (FF) in Peru have caused many economic and human life losses in recent years. In this context, developing complete early warning systems against FF is necessary to cope impacts. ...
Acceso abierto