Meteorological data are multisource, multidimensional, large-scaled and multi-scaled. As a result, it is hard to display a complicated 3d scene in meteorology using traditional visualization methods. This paper presents a visualization system, called AVIS for global scale meteorological data. AVIS employs several standard methods for visualizing density fields, vector fields and tensor fields, as well as non-spatial data. AVIS implements spherical volume rendering and hybrid rendering to support the study of internal structures. AVIS also utilizes a cross-platform and parallel framework to support the visualization both in browsers and on other platforms. The framework benefits from a back-end computing cluster and can accelerate the efficiency of computation and rendering. Use cases verify that the presented system can show meteorological data from many aspects and help users analyze multiple types of data comprehensively.