Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models

Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models

The precipitation phase (PP) affects the hydrologic cycle which in turn affects the climate system. A lower ratio of snow to rain due to climate change affects timing and duration of the stream flow. Thus, more knowledge about the PP occurrence and drivers is necessary and especially important in ci...

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Autores principales: Lenin Campozano, Leandro Robaina, Luis Felipe Gualco, Luis Maisincho, Marcos Villacís, Thomas Condom, Daniela Ballari, Carlos Páez
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
precipitation phase
Andes precipitation
random forest
logistic models
automatic discovery
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Acceso en línea:https://doaj.org/article/77c87c05d30c48fbb321f6d3132007bd
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https://doaj.org/article/77c87c05d30c48fbb321f6d3132007bd

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