CRA5 a high-fidelity compressed reanalysis atmospheric dataset for weather and climate research

The ERA5 reanalysis dataset, developed by the European Centre for Medium-Range Weather Forecasts (ECMWF), provides high-resolution, hourly global climate and weather data from 1950 to the present. However, its massive volume poses substantial storage and distribution challenges. To address this, we introduce CRA5, a highly compressed version of ERA5 generated by the neural network framework Aeolus. CRA5 reduces the 400 TB uncompressed float32 dataset to just 0.85 TB, achieving a 470× compression ratio. Notably, it offers over 100 times higher compression than the lossless GRIB files from the Copernicus Climate Data Store (CDS). Extensive experiments validate its numerical accuracy: CRA5 maintains consistent climatology and comparable power spectral density, yielding a mean absolute error of only 0.17 K for temperature across 37 vertical levels. Furthermore, it faithfully reconstructs extreme weather events and large-scale climatological patterns. By significantly lowering infrastructure barriers, CRA5 accelerates data access and facilitates broader collaboration in large-scale atmospheric research.

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Publication Details

Journal
Scientific Data
Published
2026-05-18
DOI
https://doi.org/10.1038/s41597-026-07381-2
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

CRA5 a high-fidelity compressed reanalysis atmospheric dataset for weather and climate research

Dazhao Du, Z Chen, Tao Han, Song Guo et al.
Scientific Data
Meteorological Phenomena and Simulations
article

CRA5 a high-fidelity compressed reanalysis atmospheric dataset for weather and climate research

Dazhao Du, Z Chen, Tao Han, Song Guo, Lei Bai, Wanli Ouyang
article en

Abstract

The ERA5 reanalysis dataset, developed by the European Centre for Medium-Range Weather Forecasts (ECMWF), provides high-resolution, hourly global climate and weather data from 1950 to the present. However, its massive volume poses substantial storage and distribution challenges. To address this, we introduce CRA5, a highly compressed version of ERA5 generated by the neural network framework Aeolus. CRA5 reduces the 400 TB uncompressed float32 dataset to just 0.85 TB, achieving a 470× compression ratio. Notably, it offers over 100 times higher compression than the lossless GRIB files from the Copernicus Climate Data Store (CDS). Extensive experiments validate its numerical accuracy: CRA5 maintains consistent climatology and comparable power spectral density, yielding a mean absolute error of only 0.17 K for temperature across 37 vertical levels. Furthermore, it faithfully reconstructs extreme weather events and large-scale climatological patterns. By significantly lowering infrastructure barriers, CRA5 accelerates data access and facilitates broader collaboration in large-scale atmospheric research.

Scientific Data
Hong Kong University of Science and Technology (HK), Shanghai Xuhui Central Hospital (CN), University of Newcastle Australia (AU), University of Hong Kong (HK)
Climate action
Openalex Percentile: Top 5%
Meteorological Phenomena and Simulations
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