Forecasting High-Flow Discharges in a Flashy Catchment Using Multiple Precipitation Estimates as Predictors in Machine Learning Models
The use of machine learning (ML) for predicting high river flow events is gaining prominence and among its non-trivial design decisions is the definition of the quantitative precipitation estimate (QPE) product included in the input dataset. This study proposes and evaluates the use of multiple conc...
Main Authors: | Andre D. L. Zanchetta, Paulin Coulibaly, Vincent Fortin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Hydrology |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5338/9/12/216 |
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