Interactive Collaboration Space Weather Modeling Framework And Visualization Research

The state and changes of space weather directly affects communications, military, technology and people's daily live. Therefore, it has become an urgent need for human sustainable development to study and master the law of solar activity, monitor severe space weather effectively, diagnosis and predict severe space weather accurately in order to reduce or avoid its harm to human activities. Space weather modeling visualization and simulation is one of current space science research priorities, which is used to directly display or reproduce the state and changes of space weather environment with visualization technology. It is also an important means of revealing the physical mechanism of space weather happenings and helping researchers to clear interactive relationships between each physical layer in the terrestrial space environment. Based on the basic theory of distributed collaborative visualization, this paper proposes the interactive collaboration framework of numerical space weather modeling visualization. Meanwhile, under the analysis of current domestic and international research situation in space weather modeling visualization, in view of current problems and challenges in high-performance computing, the organization manner of massive space weather data, model integration, visual expression methods and multi-dimensional interactive operation environment, the paper presents the design and implementation of a numerical space weather modeling visualization and simulation platform SWIM (Space Weather Integrated Modeling). The main research results of this paper are included:(1) We propose the interactive collaboration infrastructure of space weather modeling visulization ICI-SWIM. The infrastructure provides a reference framework design for SWIM. We design SWIM architecture that is composed of the data access infrastructure, the model integration infrastructure, the visualization infrastructure, the parallel infrastructure, GUI and its integration framework as an integral part of the SWIM system architecture. Meanwhile, SWIM system uses Python as the platform development language, standard data format HDF5 as its space weather scientific data exchange and storage format, SciPy and NumPy modules as data analysis tools, Matplotlib and VTK (The Visualization Toolkit) as the two-dimensional and multidimensional data visualization components, asynchronous event-based triggering mechanism Twisted-Python to build space weather visualization services.(2) We propose the space weather visualization service infrastructure SWIM-VSI, which is in the master-slave way. The service infrastructure includes the control scheduling services and visualization services. They are responsible for the scheduling and allocation of service requests and the specific implementation of visualization respectively.(3) We propose the parallel architecture of space weather modeling simulation visualization based on MPI, CUDA, and Chromium. And we also use the coronal polarization brightness computation model as our experimental model to verify the feasibility of the parallel architecture and its improvement in computing performance.(4) Based on HDF5, we design and complement the standard data format GeoHDF5 and the data access infrastructure SWIM-DI.