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Advancing data compression via noise detection
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DOI：10.1038/s43588-021-00167-z.png)
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Abstract
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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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