The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensuring the simulations are comparable across different high-performance computing (HPC) systems, and with the physical performance of base configurations over the historical period. With improved physical and dynamic features, new Earth system model (ESM) components, community tools, and largely improved physical performance compare...
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Apr 08, 2022 |
| Journal | Geoscientific model development |
| Authors | Ralf Döscher, Mario Acosta, Andrea Alessandri, Peter Anthoni, Thomas Arsouze |
| DOI | 10.5194/gmd-15-2973-2022 |
| Citations | 692 |
| Source | OpenAlex |