Machine Learning in Climate Downscaling: A Critical Review of Methodologies, Physical Consistency, and Operational Applications Article

Najafi, Hamed, Lagerwall, Gareth Lynton, Obeysekera, Jayantha et al. (2026). Machine Learning in Climate Downscaling: A Critical Review of Methodologies, Physical Consistency, and Operational Applications . WATER, 18(2), 10.3390/w18020271

Open Access

cited authors

  • Najafi, Hamed; Lagerwall, Gareth Lynton; Obeysekera, Jayantha; Liu, Jason

sustainable development goals

authors

publication date

  • January 21, 2026

published in

keywords

  • DECOMPOSITION
  • DRY SPELLS
  • EARTH SYSTEM
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FRAMEWORK
  • Life Sciences & Biomedicine
  • MODEL
  • NEURAL-NETWORKS
  • OBJECT-BASED VERIFICATION
  • PRECIPITATION FORECASTS
  • Physical Sciences
  • Science & Technology
  • TEMPERATURE
  • VALIDATION
  • Water Resources
  • climate downscaling
  • deep learning
  • explainable AI
  • machine learning
  • physical consistency
  • transferability
  • uncertainty quantification

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 18

issue

  • 2