xbitinfo: Retrieve information content and compress accordingly#

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This is an xarray-wrapper around BitInformation.jl to retrieve and apply bitrounding from within python. The package intends to present an easy pipeline to compress (climate) datasets based on the real information content.

How the science works#

Paper#

Klöwer, M., Razinger, M., Dominguez, J. J., Düben, P. D., & Palmer, T. N. (2021). Compressing atmospheric data into its real information content. Nature Computational Science, 1(11), 713–724. doi: 10/gnm4jj

Video#

https://img.youtube.com/vi/kcbOdwfskmY/0.jpg

Julia Repository#

BitInformation.jl

How to install#

Preferred installation#

conda install -c conda-forge xbitinfo

Alternative installation#

pip install xbitinfo # ensure to install julia manually

How to use#

import xarray as xr
import xbitinfo as xb

example_dataset = 'eraint_uvz'
ds = xr.tutorial.load_dataset(example_dataset)
bitinfo = xb.get_bitinformation(ds, dim="longitude")  # calling bitinformation.jl.bitinformation
keepbits = xb.get_keepbits(bitinfo, inflevel=0.99)  # get number of mantissa bits to keep for 99% real information
ds_bitrounded = xb.xr_bitround(ds, keepbits)  # bitrounding keeping only keepbits mantissa bits
ds_bitrounded.to_compressed_netcdf(outpath)  # save to netcdf with compression

Credits#

Getting Started

Quick start

User Guide

Chunking
artificialinformation

Help & Reference

xbitinfo: Retrieve information content and compress accordingly

Contents