Streaming near-real-time space weather data to online forecasting services

Forecasting space weather factors such as solar wind, the Earth's magnetosphere disturbance, solar proton events, etc. and their impact on the Earth is a critical mission for the space weather industry. This work describes the process of streaming near-real-time data from the data provider to several online forecasting services at the department of space research of SINP MSU. The detailed design of components involved in the process (data access standard, API, event schedule, etc.) is also considered.