ai weather models 1el niño response 1model intercomparison 1out-of-sample evaluation 1reanalysis training 1
From the 1 of 2 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations
Guillaume Couairon, Alexis Jacq, Yu-Han Wu +4
Machine learning offers a promising avenue to accelerate physical simulations by replacing computationally expensive traditional Partial Differential Equation (PDE) solvers with fa…
physics.ao-ph2026★ 1 cited
AIMIP Phase 1: systematic evaluations of AI weather and climate models
Brian Henn, Christopher S. Bretherton, Nikolay Koldunov +18
The paper introduces AIMIP Phase 1, an intercomparison framework for AI‑based weather and climate models that evaluates their ability to simulate historical atmospheric conditions…