
We're excited to present ACE (AI2 Climate Emulator), a long-term (at least 10 yr) stable ML emulator of a comprehensive 100-km resolution global atmospheric model: arxiv.org/abs/2310.02074
Oliver Watt-Meyer
93 posts

@oliwm
Lead Research Scientist for Climate Modeling @allen_ai | Associate Editor @theAGU JAMES | Opinions my own

We're excited to present ACE (AI2 Climate Emulator), a long-term (at least 10 yr) stable ML emulator of a comprehensive 100-km resolution global atmospheric model: arxiv.org/abs/2310.02074



Researchers @UCSanDiego @ucsd_cse & @allen_ai combined #generativeAI and physics-based data to improve #climate models: today.ucsd.edu/story/accelera… @yuqirose





🌍We've developed the first conditional generative model for accurate & efficient ensemble climate simulations! 📄Read the full paper: arxiv.org/abs/2406.14798 🎉Excited to share that a preliminary version was accepted as an oral presentation @ml4esmworkshop at #ICML2024! 🧵






See another newly published article, led by @brianmhenn1, where we machine-learn cloud properties (from a 3 km reference simulation) needed for unbiased radiative fluxes in coarse-resolution FV3GFS (200 km). ⛅ doi.org/10.1029/2023MS…

A new published article, led by @oliwm, investigates direct learning of heating/moistening rates from a coarsened 3 km (realistic topography!) storm-resolving simulation for use in a 200 km global climate model. 🌡🌧🌐 agupubs.onlinelibrary.wiley.com/doi/10.1029/20…






We're excited to present ACE (AI2 Climate Emulator), a long-term (at least 10 yr) stable ML emulator of a comprehensive 100-km resolution global atmospheric model: arxiv.org/abs/2310.02074



The updated ACE arxiv paper is available, now with code release arxiv.org/abs/2310.02074 . We're excited to get to share these results with the community! 6/

