ai weather models 1climate modeling 1computational efficiency 1el niño response 1interdisciplinary methods 1machine learning emulators 1model intercomparison 1model reliability 1out-of-sample evaluation 1reanalysis training 1
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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…
physics.ao-ph2026
Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
Renu Singh, Robert Brunstein, Antonia Jost +5
We evaluate the climate simulation capabilities of ArchesWeather and ArchesWeatherGen, two machine learning models originally trained for weather forecasting and evaluated up to a…