收稿日期: 2011-08-22
修回日期: 2012-03-15
网络出版日期: 2012-04-10
基金资助
国家自然科学基金项目“热带气旋螺旋带波动性质的研究”(编号：40905021)资助.
An Application of LWT to Lossless Compression of Meteorological Grid Data
Received date: 2011-08-22
Revised date: 2012-03-15
Online published: 2012-04-10
罗坚,姜勇强,戴彩悌 . 提升小波变换在气象格点数据无损压缩中的应用[J]. 地球科学进展, 2012 , 27(4) : 460 -465 . DOI: 10.11867/j.issn.1001-8166.2012.04.0460
Lift-Wavelet Transformation (LWT) provided a method to transform integer into integer preserving the orthogonality. A lossless compression scheme for meteorological grid data is performed by use of LWT based on the two-dimensional prediction coding, shuffle method and entropy coding. The entropy of geopotential height, meridional wind, zonal wind and temperature by coding and decoding is compared with that of original fields. The comparisons of four compression experiments show that the LWT is available to eliminate the pertinency and redundancy of data, and then to decrease the entropy. LWT and two-dimensional prediction coding method can take the advantages of each other. The combination of these two methods could improve the compression efficiency, and the compressed data are completely lossless within available precision. The new method can promote the storage and exchange efficiency of mass meteorological data, supporting the rapid response of meteorological data and forecast services.
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