A Model of Data Processing Pipeline for Space Weather Analysis and Forecastстатья
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Аннотация:Space weather is a branch of space physics that studies var- ious factors in the near-Earth space such as solar wind, magnetosphere disturbance, solar proton events, and others, which make a massive im- pact on the Earth. In practice, data measured by different satellite in- struments need to be gathered and appropriately transformed before use in space weather analysis and forecast. The data processing pipeline involves a large number of various programs. It also requires in-depth technical knowledge of both satellite instruments and programming tools so that data will be processed correctly. Building such a data pipeline is time-consuming and error-prone. The correctness of the output data produced by the processing pipeline is one of the critical factors that define the success of an analysis or a forecast model. This work proposes a model that describes how the data processing pipeline might be orga- nized and how to build a distributed data processing system based on the proposed model.