It is a difficult task to parallelize the existing sequential algorithm. A distributed parallelized algorithm is described by means of static data distribution after researching into the sequential algorithm of the global atmospheric data objective analysis system. We have achieved the parallelization by extracting the analysis boxes and model grid point latitude rows with leaped step and distributing data to different processors. The parallelization algorithm has a good load balance, a highly parallelization efficiency and a lower parallelization cost. Good scalability can be got from the algorithm.