Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+)

Research article (Geoscientific model development, 2016) · cited 42× · AI/ML
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Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+) is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+). Retrieved October 16, 2026, from https://4ort.xyz/entity/bit-grooming-statistically-accurate-precision-preserving-quantization-with-compression-evaluated-in-the-netcdf-operators
MLA “Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+).” 4ort.xyz Knowledge Graph, 4ort.xyz, 16 Oct. 2026, https://4ort.xyz/entity/bit-grooming-statistically-accurate-precision-preserving-quantization-with-compression-evaluated-in-the-netcdf-operators.
BibTeX @misc{4ortxyz_bit-grooming-statistically-accurate-precision-preserving-quantization-with-compression-evaluated-in-the-netcdf-operators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+)}}, year = {2026}, url = {https://4ort.xyz/entity/bit-grooming-statistically-accurate-precision-preserving-quantization-with-compression-evaluated-in-the-netcdf-operators}, note = {Accessed: 2026-10-16}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+) — https://4ort.xyz/entity/bit-grooming-statistically-accurate-precision-preserving-quantization-with-compression-evaluated-in-the-netcdf-operators (retrieved 2026-10-16)

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