Data Processing in Space Weather Physics Models in the Meridian Project

In the Meridian Project, two space weather physics models, L1-magnetosphere-ionosphere causal chain(L1 model), and numerical magnetosphere database service, are provided as e-Science application services through the space weather computation grid environment, which provides a web-based portal for space weather studies users. We call the computation grid environment as a computing gateway. The computing gateway integrates space weather applications, space weather data, and tools. For user to use the computing gateway, the first thing that user will up against is where the input files will be located to complete the computation. Whether they are just come from user local machine, and how can I use the uploaded input data files again in the following new computing tasks? In this paper, we introduce a data space concept-the user data view space, within which the space weather data files shared between the resource entities in the space weather computation grid environment. As the size of computation data results is massive and they are raw data about magnetosphere and ionosphere, for intuitivism to show the physics meaning of the magnetosphere and ionosphere data, the raw computation result data will be post-processed by visualization software. Then how to draw graphics on the visualization node inside a parallel job? And more in numerical magnetosphere database service physics model, according to task´s designated parameters we should choose a proximate data as the initial condition from numerical magnetosphere database, and then do the computation simulation by using the L1 model.