# Allen Institute releases HiRO-ACEv2 for high-resolution weather simulation

> **Key takeaway:** HiRO-ACEv2 generates 3 km resolution global climate data at approximately 1/300th the cost of traditional high-resolution atmospheric models.

**Published:** 2026-10-14T16:12:42+00:00 
**Source:** Hugging Face Blog & Announcements 
**Category:** ai-open-models 
**Canonical URL:** https://fosswire.org/news/allen-institute-releases-hiro-acev2-for-high-resolution-weat.html 

## Summary
The Allen Institute of AI has introduced HiRO-ACEv2, an updated climate emulation system designed to simulate extreme weather events. The system uses a two-part architecture: ACE, which operates at a 100 km resolution, and the new HiROv2 model, which downscales those outputs to 3 km detail. This approach allows for the reproduction of intense rain, wind, and pressure patterns with significantly lower computational requirements than models like X-SHiELD.

## Technical improvements in HiRO-ACEv2
- **HiROv2 downscaling model**: Predicts multiple high-resolution fields simultaneously (rain, wind, and pressure) rather than just rainfall.
- **Accuracy**: Matches high-resolution statistics of X-SHiELD within 3%, even for extremely rare events.
- **Extreme weather capability**: Accurately estimates tropical cyclone energy and generates realistic hurricane structures, including eyes and rain bands.
- **Efficiency**: Reduces global data production costs to roughly 1/300th of X-SHiELD, with even higher savings for regional simulations.
- **Architecture**: Combines a coarse 100 km ACE model with the fine-scale HiROv2 model.

## Why it matters
The release provides researchers with an inexpensive method to generate long-term, high-resolution climate data for studying extreme weather patterns.