Compress · Weather & climate
Petabytes of model output in a fraction of the space.
Weather and climate centres produce petabytes of model output and reanalysis every year, and keep it for decades. Compress shrinks NetCDF, GRIB and Zarr with error bounds per variable, so archives cost less and stay readable by the tools scientists already use.
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Smaller storage bills
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Faster reads for analysis
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Error bounds scientists accept
What it compresses.
- NetCDF, GRIB and Zarr
- Reanalysis and ensembles
- Observations and radar
Features used
The parts of Compress that do the work.
Related articles
- Scientific data
What an error bound actually guarantees
· 6 min read
- Codecs
Learned codecs against zstd, SZ and ZFP
· 9 min read
- News
GRIB2 and Zarr v3 support in the Compress SDK
· 2 min read
- Storage & cost
The real cost of keeping a petabyte
· 5 min read
- News
Research partnership on compressing climate model output
· 2 min read
Industries
Other industries.
We’ll cover
- Compress run on a sample of your data
- Size, speed and error compared with what you use now
- Fitting it into your pipeline
- Deployment: cloud, on-premises or edge