27 citations · 34 across the 4 of their papers we have counts for
4 papers
CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview
Neelesh Rampal, José González-Abad, Henry Addison +34
Machine learning (ML) has emerged as a cost-effective approach to complement dynamical downscaling for producing high-resolution regional climate projections. However, the absence…
Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model
Henry Addison, Elizabeth Kendon, Suman Ravuri +2
High-resolution climate simulations are valuable for understanding climate change impacts. This has motivated use of regional convection-permitting climate models (CPMs), but these…
Machine learning emulation of a local-scale UK climate model
Henry Addison, Elizabeth Kendon, Suman Ravuri +2
Climate change is causing the intensification of rainfall extremes. Precipitation projections with high spatial resolution are important for society to prepare for these changes, e…
Machine learning applications for weather and climate need greater focus on extremes
Peter AG Watson
Multiple studies have now demonstrated that machine learning (ML) can give improved skill for predicting or simulating fairly typical weather events, for tasks such as short-term a…