Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean‐Climate Watersheds

Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean‐Climate Watersheds

Abstract Accurate streamflow predictions are essential for water resources management. Recent studies have examined the use of hybrid models that integrate machine learning models with process‐based (PB) hydrologic models to improve streamflow predictions. Yet, there are many open questions regardin...

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Bibliographic Details
Main Authors: S. Adera, D. Bellugi, A. Dhakal, L. Larsen
Format: Article
Language:English
Published: Wiley 2024-07-01
Series:Water Resources Research
Subjects:
streamflow
post‐processing
prediction
benchmarking
physics‐informed machine learning
hybrid model
Online Access:https://doi.org/10.1029/2023WR035790
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https://doi.org/10.1029/2023WR035790

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