Astronomical data analysis depends on the accumulation of data, including integrity of data in observing location, time, and diversity of data. We are now developing a reorganization project of solar physics history data of China. There are 90 years, 44 kinds of solar observing data in China. In the project, we will finish imagination, digitalization and standardization of these data. This article introduces the project framework, data, data processing, and how to share.
KEYWORDS: Magnetism, Solar processes, Autoregressive models, Image processing, Solar radiation models, Solar energy, Data processing, Curium, Astronomy, Spatial resolution
Intense solar active events have made significant impacts on the modern high technology system and living environment
of human being, therefore solar activities forecast and space weather forecast are getting more and more attention.
Meanwhile, data volume acquisitioned by solar monitor facility is growing larger and larger due to the requirement of
multiple dimensions observation and high temporal and spatial resolution. As staffs of a solar monitor data producer, we
are encouraged to adopt new techniques and methods to provide valuable information to solar activities forecast
organization and the other related users, and provide convenient products and tools to the users. In the previous paper “A
complete solar eruption activities processing tool with robotization and real time (I)”, we presented a fully automatic and
real time detecting architecture for different solar erupt activities. In this paper, we present new components of new data
sets in the architecture design, latest progresses on automatic recognition of solar flare, filament and magnetic field, and
a newly introduced method with which solar photospheric magnetic nonpotentiality parameters are processed in real
time, then its result directly can be used in solar active forecast.
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