The impact of altering emission data precision on compression efficiency and accuracy of simulations of the community multiscale air quality model
Michael S. Waltersand David C. Wong
Michael S. Walters
Atmospheric and Environmental Systems Modeling Division,
Center for Environmental Measurement and Modeling, Office of Research and
Development, US Environmental Protection Agency, Research Triangle Park,
NC, USA
Oak Ridge Associated Universities, Oak Ridge, TN, USA
Atmospheric and Environmental Systems Modeling Division,
Center for Environmental Measurement and Modeling, Office of Research and
Development, US Environmental Protection Agency, Research Triangle Park,
NC, USA
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Total article views: 3,896 (including HTML, PDF, and XML)
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Total article views: 2,736 (including HTML, PDF, and XML)
Thereof 2,679 with geography defined
and 57 with unknown origin.
Total article views: 1,160 (including HTML, PDF, and XML)
Thereof 1,103 with geography defined
and 57 with unknown origin.
A typical numerical simulation that associates with a large amount of input and output data, applying popular compression software, gzip or bzip2, on data is one good way to mitigate data storage burden. This article proposes a simple technique to alter input, output, or input and output by keeping a specific number of significant digits in data and demonstrates an enhancement in compression efficiency on the altered data but maintains similar statistical performance of the numerical simulation.
A typical numerical simulation that associates with a large amount of input and output data,...
