Limitation of super-resolution machine learning approach to precipitation downscaling

Abstract The present study explores the potential of super-resolution machine learning (ML) models for precipitation downscaling from 100 to 12.5 km at hourly timescale using the Conformal Cubic Atmospheric Model (CCAM) data over the Australian domain. Two approaches were examined: the perfect appro...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	P. Jyoteeshkumar Reddy, Richard Matear, John Taylor, Marcus Thatcher
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-08-01
Online Access:	https://doi.org/10.1038/s41598-025-05880-7