Compressing scientific data is essential to save on storage space, but doing so effectively while ensuring that the conclusions from the data are not affected remains a challenging task. A recent paper proposes a new method to identify numerical noise from floating-point atmospheric data, which can lead to a more effective compression.
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The authors declare no competing interests.
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Hammerling, D.M., Baker, A.H. Advancing data compression via noise detection. Nat Comput Sci 1, 711–712 (2021). https://doi.org/10.1038/s43588-021-00167-z