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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Bibliographic Details
Main Authors: Lenin Campozano, Leandro Robaina, Luis Felipe Gualco, Luis Maisincho, Marcos Villacís, Thomas Condom, Daniela Ballari, Carlos Páez
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Water
Subjects:
precipitation phase
Andes precipitation
random forest
logistic models
automatic discovery
Online Access:https://www.mdpi.com/2073-4441/13/21/3022

Internet

https://www.mdpi.com/2073-4441/13/21/3022

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