collaborators

1 paper

cs.LG2025

The impact of internal variability on benchmarking deep learning climate emulators

Björn Lütjens, Raffaele Ferrari, Duncan Watson-Parris +1

Full-complexity Earth system models (ESMs) are computationally very expensive, limiting their use in exploring the climate outcomes of multiple emission pathways. More efficient em…