RETRACTED: A Physics‐Aware Machine Learning‐Based Framework for Minimizing Prediction Uncertainty of Hydrological Models

Modeling hydrological processes for managing the available water resources effectively is often complex due to the existence of high nonlinearity, and the associated prediction uncertainty mainly arising from model inputs, parameters, and structure. Despite several attempts to quantify the model pre...

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Bibliographic Details

Published in:	Water resources research Vol. 59; no. 6
Main Authors:	Roy, Abhinanda, Kasiviswanathan, K. S., Patidar, Sandhya, Adeloye, Adebayo J., Soundharajan, Bankaru‐Swamy, Ojha, Chandra Shekhar P.
Format:	Journal Article
Language:	English
Published:	Washington John Wiley & Sons, Inc 01.06.2023 Wiley
Subjects:	HBV model particle filter technique random forest algorithm streamflow prediction interval uncertainty quantification
ISSN:	0043-1397, 1944-7973
Online Access:	Get full text
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