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Upload ClimateSuite dataset

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  1. .gitattributes +60 -0
  2. README.md +101 -0
  3. grid.nc +0 -0
  4. inputs/decadal/all-fires_IB_sai_1p5.zarr.tar.zst +3 -0
  5. inputs/decadal/all-fires_historical.zarr.tar.zst +3 -0
  6. inputs/decadal/all-fires_ssp126.zarr.tar.zst +3 -0
  7. inputs/decadal/all-fires_ssp245.zarr.tar.zst +3 -0
  8. inputs/decadal/all-fires_ssp370.zarr.tar.zst +3 -0
  9. inputs/decadal/all-fires_ssp585.zarr.tar.zst +3 -0
  10. inputs/decadal/anthro-fires_IB_sai_1p5.zarr.tar.zst +3 -0
  11. inputs/decadal/anthro-fires_historical.zarr.tar.zst +3 -0
  12. inputs/decadal/anthro-fires_ssp126.zarr.tar.zst +3 -0
  13. inputs/decadal/anthro-fires_ssp245.zarr.tar.zst +3 -0
  14. inputs/decadal/anthro-fires_ssp370.zarr.tar.zst +3 -0
  15. inputs/decadal/anthro-fires_ssp585.zarr.tar.zst +3 -0
  16. inputs/decadal/no-fires_IB_MA-BASELINE.zarr.tar.zst +3 -0
  17. inputs/decadal/no-fires_IB_SINGLE-POINT-INJANN0N_12Tg.zarr.tar.zst +3 -0
  18. inputs/decadal/no-fires_IB_SINGLE-POINT-INJANN15N_12Tg.zarr.tar.zst +3 -0
  19. inputs/decadal/no-fires_IB_SINGLE-POINT-INJANN15S_12Tg.zarr.tar.zst +3 -0
  20. inputs/decadal/no-fires_IB_SINGLE-POINT-INJANN30N_12Tg.zarr.tar.zst +3 -0
  21. inputs/decadal/no-fires_IB_SINGLE-POINT-INJANN30S_12Tg.zarr.tar.zst +3 -0
  22. inputs/decadal/no-fires_IB_SINGLE-POINT-INJMAM60N_12Tg.zarr.tar.zst +3 -0
  23. inputs/decadal/no-fires_IB_SINGLE-POINT-INJSON60S_12Tg.zarr.tar.zst +3 -0
  24. inputs/decadal/no-fires_IB_SSP245-MA-5xPinatubo-2055.zarr.tar.zst +3 -0
  25. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-0N-LOWER-0.5.zarr.tar.zst +3 -0
  26. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-60N_60S-LOWER-0.5.zarr.tar.zst +3 -0
  27. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-5xPinatubo-2055.zarr.tar.zst +3 -0
  28. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-OFF-2055.zarr.tar.zst +3 -0
  29. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-PO-2055.zarr.tar.zst +3 -0
  30. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-Pinatubo-2055.zarr.tar.zst +3 -0
  31. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-Pinatubo-OFF-2055.zarr.tar.zst +3 -0
  32. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-RESTART-2055-1y.zarr.tar.zst +3 -0
  33. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT-RESTART-2055-2y.zarr.tar.zst +3 -0
  34. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-DEFAULT.zarr.tar.zst +3 -0
  35. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-LOWER-0.5.zarr.tar.zst +3 -0
  36. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS-LOWER-1.0.zarr.tar.zst +3 -0
  37. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS15N_15S-LOWER-0.5.zarr.tar.zst +3 -0
  38. inputs/decadal/no-fires_IB_SSP245-MA-GAUSS30N_30S-LOWER-0.5.zarr.tar.zst +3 -0
  39. inputs/decadal/no-fires_IB_SSP245-MA-Pinatubo-2055.zarr.tar.zst +3 -0
  40. inputs/decadal/no-fires_historical.zarr.tar.zst +3 -0
  41. inputs/decadal/no-fires_ssp126.zarr.tar.zst +3 -0
  42. inputs/decadal/no-fires_ssp245.zarr.tar.zst +3 -0
  43. inputs/decadal/no-fires_ssp370.zarr.tar.zst +3 -0
  44. inputs/decadal/no-fires_ssp585.zarr.tar.zst +3 -0
  45. inputs/monthly/all-fires_IB_sai_1p5.zarr.tar.zst +3 -0
  46. inputs/monthly/all-fires_historical.zarr.tar.zst +3 -0
  47. inputs/monthly/all-fires_ssp126.zarr.tar.zst +3 -0
  48. inputs/monthly/all-fires_ssp245.zarr.tar.zst +3 -0
  49. inputs/monthly/all-fires_ssp370.zarr.tar.zst +3 -0
  50. inputs/monthly/all-fires_ssp585.zarr.tar.zst +3 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.avro filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.webm filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ pretty_name: ClimateSuite
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+ tags:
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+ - climate
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+ - climate-emulation
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+ - earth-system-models
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+ - zarr
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+ - spatiotemporal
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+ ---
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+
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+ <h5 align="center">If you use ClimateSuite, please ❤️ like this dataset and ⭐ star <a href="https://github.com/stanfordmlgroup/spf">the SPF GitHub repository</a> for updates.</h5>
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+
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+ # ClimateSuite
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+
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+ ClimateSuite is a large collection of Earth system model simulations for climate emulation. It was curated for [Spatiotemporal Pyramid Flow Matching for Climate Emulation](https://arxiv.org/abs/2512.02268), which introduces Spatiotemporal Pyramid Flows (SPF) for efficient probabilistic climate emulation across temporal and spatial scales.
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+
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+ This repository stores ClimateSuite as archive-sharded Zarr data in the following format:
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+
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+ ```text
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+ grid.nc
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+ inputs/<timescale>/*.zarr
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+ outputs/<climate_model>/<timescale>/*.zarr
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+ ```
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+
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+ 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`.
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+
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+ ### Downloading the data
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+
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+ The recommended path for SPF users is the repository helper, which downloads matching archive shards and extracts them automatically:
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+
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+ ```python
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+ from emulator.src.data.huggingface import download_climate_dataset
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+
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+ cache_dir = "/path/to/fast/cache"
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+
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+ # Download and extract the full dataset.
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+ data_dir = download_climate_dataset(
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+ "jirvin16/ClimateSuite",
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+ cache_dir=cache_dir,
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+ )
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+
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+ # Download and extract a specific model/timescale subset.
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+ data_dir = download_climate_dataset(
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+ "jirvin16/ClimateSuite",
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+ cache_dir=cache_dir,
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+ climate_models=["NorESM2-LM"],
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+ timescales=["yearly"],
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+ )
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+ ```
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+
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+ You can also download raw archive shards directly with `huggingface_hub`:
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+
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+ cache_dir = "/path/to/fast/cache"
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+
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+ # Full archive download.
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+ snapshot_download(
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+ repo_id="jirvin16/ClimateSuite",
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+ repo_type="dataset",
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+ cache_dir=cache_dir,
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+ )
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+
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+ # Specific subset: shared yearly inputs and yearly NorESM2-LM outputs.
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+ snapshot_download(
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+ repo_id="jirvin16/ClimateSuite",
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+ repo_type="dataset",
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+ cache_dir=cache_dir,
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+ allow_patterns=[
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+ "README.md",
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+ "manifest.json",
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+ "grid.nc",
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+ "inputs/yearly/*.zarr.tar.zst",
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+ "outputs/NorESM2-LM/yearly/*.zarr.tar.zst",
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+ ],
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+ )
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+ ```
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+
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+ ### Relevant Links
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+
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+ - **Paper:** https://arxiv.org/abs/2512.02268
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+ - **Code:** https://github.com/stanfordmlgroup/spf
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+
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+ ### Citation
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+
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+ ```bibtex
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+ @inproceedings{irvin2026spatiotemporal,
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+ title={Spatiotemporal Pyramid Flow Matching for Climate Emulation},
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+ 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},
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+ booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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+ year={2026}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ jirvin16@cs.stanford.edu
grid.nc ADDED
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