Research On Key Technologies For Organizing And Visualizing Global Meteorological & Marine Scalar Field Data

Changes in the meteorological and marine environment significantly impact human activities and have been widely concerned and a hot spot for scientific research.With the development of sensor technology and spatial information technology,globally monitored meteorological and marine environmental data is growing exponentially.Among them,the scalar field data represented by atmospheric temperature and ocean’temperature and salt density’ are widely distributed above the earth’s surface and below the sea level,characterized by a wide variety,large amounts of data,and various data resolutions.Visualizing such data is an effective means for researchers to discover global climate patterns and weather patterns.Although many research scholars have conducted massive studies on the visualization of meteorological and ocean scalar data,these studies mainly focus on the analysis of data in specific scenarios.It isn’t easy to take into account the management and visualization of scalar data in global large-scale and local high-precision areas at the same time to meet the needs of the application in general scenarios.In this paper,the organization of meteorological and oceanic scalar data based on spatial grid technology and the visualization of scalar field data on a global scale are investigated in terms of data organization and data visualization methods.The main work accomplished in this paper is as follows.1.For the characteristics of multi-scale,large data volume and wide spatial distribution of atmospheric and oceanic scalar data,this paper proposes a 3D scalar field data organization and management method based on GeoSOT-3D grid,which organizes meteorological and oceanic scalar data according to the GeoSOT-3D grid model and solves the interpolation error problem of the anomalous hierarchical uneven grid under the dissection framework.A column database manages the encoded scalar data,and the server realizes the real-time indexing of precise location points and fast querying of the spatial extent of meteorological and oceanic scalar data by building a data transfer service.The experiments show that this data organization method’s query efficiency is higher than the original latitude and longitude data organization.2.To solve the problems of low rendering efficiency,the difficulty of spherical texture sampling,and sampling distortion of multi-resolution data in 3D scalar field mapping that needs to consider the curvature of the earth,this paper proposes a spherical ray projection method for 3D atmospheric and oceanic scalar data based on the data organized with GeoSOT-3D grid model.The method constructs the proxy geometry with the GeoSOT-3D grid,calculates the starting and ending points of light sampling in advance,deals with the case of early light termination in the presence of occlusion,calculates the texture sampling in the sphere space by GeoSOT-3D grid,and uses the adaptive data resolution method for sampling.The experiments show that the drawing efficiency of the method improves significantly as the amount of data becomes larger.At the same time,the method proposed in this paper can better guarantee the quality of the output image when visualizing data at different scales compared with the sampling method with a fixed step size.3.To further analyze the meteorological patterns and validate the method in this paper by overlaying images,a prototype system based on Unreal Engine for rapid query and 3D visualization of meteorological ocean scalar fields is designed and developed in this paper.The system builds virtual earth to load and browse the global multi-resolution remote sensing images and topographic data.Then,the system integrates the data organization,and management methods studied in this paper and builds a backend data service to realize the fast indexing of spatial location scalar data values.Finally,the system uses the spherical light projection method proposed in this paper to render the queried data on the client-side and visualize and display them on the 3D virtual earth,which verifies the feasibility of the organization and visualization method proposed in this paper.