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Morning Edition · Wednesday, October 21, 2026Published at 2:08 AM EDT · New York
Ai2's HiRO-ACEv2 Generates 3-Kilometer Global Extreme-Weather Data at About 1/300th the Cost of the Physics Model It Emulates
The upgraded downscaler predicts rain, wind and pressure together and, according to Ai2, matches the target model's statistics within 3% even for events that occur once in a million data points.
The Allen Institute for AI (Ai2) released HiRO-ACEv2, a new version of its climate emulator. The Russian-language channel AI ML Big Data reported that it reproduces heavy rain, hurricane-force wind and pressure swings at 3-kilometer detail.…
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Part of a tracked trend
AI Emulators Replace Expensive Physical Simulation
Machine-learning emulators trained on costly physics simulations will keep replacing those simulations for downstream uses at orders-of-magnitude lower cost, moving climate and engineering risk modeling away from whoever controls supercomputer time.
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