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title: HiRO-ACEv2: Simulating extreme weather at 3 km...
description: Ai2 released HiRO-ACEv2, an updated version of its High Resolution Output Ai2 Climate Emulator that generates global 3 km resolution weather simulations. The...
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og:description: Ai2 released HiRO-ACEv2, an updated version of its High Resolution Output Ai2 Climate Emulator that generates global 3 km resolution weather simulations. The...
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# HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost

**[Hugging Face](https://daily.dev/sources/huggingface)** · 4 min read · 0 upvotes · 0 comments

## Summary

Ai2 released HiRO-ACEv2, an updated version of its High Resolution Output Ai2 Climate Emulator that generates global 3 km resolution weather simulations. The new HiROv2 downscaling model predicts multiple high-resolution fields simultaneously (rain, wind, pressure) rather than just rainfall, and better reproduces rare extreme events, matching X-SHiELD's high-resolution statistics within 3% even for one-in-a-million occurrences. The combined system produces global 3 km climate data at roughly 1/300th the cost of running X-SHiELD directly, with regional runs saving even more. Limitations remain: the system only works with the ACE variant tuned to X-SHiELD and can't yet simulate other climates like a warmer future or historical datasets such as ERA5. Future plans include training on a 4°C-warmer world dataset and adding temperature, snow, and ice outputs. Models, a paper, tutorial notebooks, and a web demo comparing HiROv1, HiROv2, and X-SHiELD outputs are available.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/allenai/hiro-acev2>

## Questions this post answers

### What is HiRO-ACEv2 and how does it improve on the previous version?

HiRO-ACEv2 is an updated AI climate emulator from Ai2 that downscales coarse 100 km ACE simulations into 3 km resolution weather data. Unlike the prior HiROv1, which only predicted rainfall, HiROv2 predicts rain, wind, and pressure fields simultaneously and better reproduces extremely rare events, matching X-SHiELD's high-resolution statistics within 3% even for one-in-a-million occurrences.

_Teams evaluating AI climate emulators can track releases like HiRO-ACEv2 on daily.dev._

### How much cheaper is HiRO-ACEv2 than running X-SHiELD for generating high-resolution climate data?

HiRO-ACEv2 generates global 3 km climate data at roughly 1/300th the cost of running X-SHiELD, a high-resolution atmospheric model that explicitly simulates storms. For single-region simulations, the cost savings can exceed a hundred times more than the global figure, depending on the area size, and a faster streamlined version of HiROv2 is in development.

_Researchers weighing simulation cost tradeoffs can follow cost-efficiency benchmarks like this on daily.dev._

### What are the current limitations of the HiRO-ACEv2 climate emulator?

HiRO-ACEv2 only works with the version of ACE tuned to match X-SHiELD, so it cannot yet produce high-resolution data for other climates, such as a warmer future scenario or historical datasets like ERA5. Planned future work includes training on new X-SHiELD datasets simulating a 4°C warmer world and adding outputs like near-surface temperature, snow, and ice.

_Developers building on emerging climate models can keep up with evolving capabilities via daily.dev._

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning)

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