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DTSTART;TZID=Europe/Stockholm:20240604T100500
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UID:submissions.pasc-conference.org_PASC24_sess158_posC112@linklings.com
SUMMARY:ACMP04 - Efficient Compression for Weather and Climate Data
DESCRIPTION:Poster\n\nLangwen Huang and Torsten Hoefler (ETH Zurich)\n\nWe
 ather and climate simulations produce petabytes of high-resolution data th
 at are later analyzed by researchers to understand climate change or sever
 e weather. We propose an efficient data compression method dedicated to we
 ather and climate data. It consists of two components: one base compressor
  utilizing the JPEG2000 image codec, and a residual compressor based on sp
 arse wavelets. With compression ratios ranging from 10x to more than 3,000
 x, our method can achieve better accuracy than existing methods. It can fa
 ithfully preserve important large-scale atmosphere structures and does not
  introduce significant artifacts. Due to the introduction of the residual 
 compressor, it can achieve error-bounded compression without sacrificing c
 ompression ratios.\n\nSession Chair: Iva Kavcic (Met Office)
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