Application of coupling Machine learning techniques and linear bias scaling for optimizing streamflow simulations, Swat River basin, Pakistan

Published: 31 October 2022| Version 1 | DOI: 10.17632/d4bvcf5n5k.1
Contributor:
Zain Syed

Description

Dataset is associated with recent research addressing streamflow prediction using machine learning. It basically consists of three types of variables, climate variables (training sets), simulations(results), and flow variables (target). More details are provided in the file.

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Categories

Machine Learning, Hydrological Modeling

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