19th Conference on IIPS

4.8

Experiment of a wavelet-based data compression technique with precision control

Ning Wang, NOAA/ERL/FSL, Boulder, CO; and R. Brummer

For a given precision requirement, a wavelet-based data compression technique was applied to the temperature and relative humidity fields of the Eta-12 model. With the maximum allowable error less than 2-3 degrees Kelvin, the wavelet compression procedure achieved an average compression factor of 45:1 for the quasi-stationary temperature field. The same procedure was applied to the relative humidity field, which is non-stationary compared to the temperature field. For this field the maximum error was set at less than 1%. With this pre-defined precision, the data compression procedure achieved an average compression factor of 30:1.

In this paper, details of the compression procedure and some preliminary test results are presented.

Some aspects related to the practical use of the technique are also discussed.

extended abstract  Extended Abstract (164K)

Session 4, AWIPS
Tuesday, 11 February 2003, 8:30 AM-1:30 PM

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