Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model

Understand

High-resolution climate simulations are valuable for understanding climate change impacts.

• This has motivated use of regional convection-permitting climate models (CPMs), but these are very computationally expensive.
• We present a convection-permitting model generative emulator (CPMGEM), to skilfully emulate precipitation simulations by a 2.2km-resolution regional CPM at much lower cost.
• This utilises a generative machine learning approach, a diffusion model.