Related Experiment Video
Updated: Jul 12, 2026

Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
New horizons in statistical downscaling and AI approaches for sustainable km-scale climate simulations
Kwok Pan Chun1, Leonardo Aragão2, Matías Ezequiel Olmo3
1University of the West of England, Bristol, UK.
Abstract:
Statistical downscaling translates coarse-resolution climate model output into locally relevant information for climate services and impact assessment. Recent advances in artificial intelligence (AI) enable high-resolution, probabilistic, and computationally efficient approaches. This paper provides a perspective on the evolution from classical to AI-driven and hybrid downscaling approaches, assesses key challenges related to interpretability, uncertainty, data availability, and computational requirements, and outlines physically constrained and generative frameworks that support decision-making across sectors.
Related Concept Videos
What is Climate?
Global Climate Change
Precipitation Processes
Microbes and Climate Change
Application of Linearization and Approximation
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by