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.