[KongchangAI]
Model

HiRO-ACEv2

An AI weather model capable of simulating extreme weather events at a 3-kilometer convection-permitting scale. It learns the mapping of atmospheric evolution in a data-driven manner instead of traditional numerical integration, substantially reducing the computational cost of high-resolution climate simulation.

Timeline (last 90 days)

Oct 14

HiRO-ACEv2 reproduces extreme rainfall, wind speed, and pressure events at 3-kilometer resolution, at a cost of about 1/300 that of the traditional high-resolution physical model X-SHiELD.

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Oct 14

The information released so far about HiRO-ACEv2 centers on two dimensions, capability and cost, while the specific validation results, open-source status, and comparative performance against observational data still need a more complete technical report to support judgment.

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