license: apache-2.0
language:
- en
pretty_name: ClimateSuite
tags:
- climate
- climate-emulation
- earth-system-models
- zarr
- spatiotemporal
If you use ClimateSuite, please ❤️ like this dataset and ⭐ star the SPF GitHub repository for updates.
ClimateSuite
ClimateSuite is a large collection of Earth system model simulations for climate emulation. It was curated for Spatiotemporal Pyramid Flow Matching for Climate Emulation, which introduces Spatiotemporal Pyramid Flows (SPF) for efficient probabilistic climate emulation across temporal and spatial scales.
This repository stores ClimateSuite as archive-sharded Zarr data in the following format:
grid.nc
inputs/<timescale>/*.zarr
outputs/<climate_model>/<timescale>/*.zarr
The current release includes decadal, yearly, and monthly data for ten climate models: BCC-CSM2-MR, CESM2, CESM2-WACCM, CMCC-CM2-SR5, CMCC-ESM2, GFDL-ESM4, IPSL-CM6A-LR, MRI-ESM2-0, NorESM2-LM, and UKESM1-0-LL.
Downloading the data
The recommended path for SPF users is the repository helper, which downloads matching archive shards and extracts them automatically:
from emulator.src.data.huggingface import download_climate_dataset
cache_dir = "/path/to/fast/cache"
# Download and extract the full dataset.
data_dir = download_climate_dataset(
"jirvin16/ClimateSuite",
cache_dir=cache_dir,
)
# Download and extract a specific model/timescale subset.
data_dir = download_climate_dataset(
"jirvin16/ClimateSuite",
cache_dir=cache_dir,
climate_models=["NorESM2-LM"],
timescales=["yearly"],
)
You can also download raw archive shards directly with huggingface_hub:
from huggingface_hub import snapshot_download
cache_dir = "/path/to/fast/cache"
# Full archive download.
snapshot_download(
repo_id="jirvin16/ClimateSuite",
repo_type="dataset",
cache_dir=cache_dir,
)
# Specific subset: shared yearly inputs and yearly NorESM2-LM outputs.
snapshot_download(
repo_id="jirvin16/ClimateSuite",
repo_type="dataset",
cache_dir=cache_dir,
allow_patterns=[
"README.md",
"manifest.json",
"grid.nc",
"inputs/yearly/*.zarr.tar.zst",
"outputs/NorESM2-LM/yearly/*.zarr.tar.zst",
],
)
Relevant Links
Citation
@inproceedings{irvin2026spatiotemporal,
title={Spatiotemporal Pyramid Flow Matching for Climate Emulation},
author={Irvin, Jeremy Andrew and Han, Jiaqi and Wang, Zikui and Alharbi, Abdulaziz and Zhao, Yufei and Bayarsaikhan, Nomin-Erdene and Visioni, Daniele and Ng, Andrew Y. and Watson-Parris, Duncan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2026}
}