Characterization of Subsurface Flow Dynamics for Forecasting of Solar ActivityEvolution of large-scale magnetic field structures in the solar photosphere and corona is controlled by motions beneath the visible surface of the Sun. Subsurface plasma flows play a critical role in formation and evolution of active regions and their activity. We analyze subsurface flow maps provided by the local helioseismology pipeline from the Helioseismic and Magnetic Imager (HMI) data on board the Solar Dynamics Observatory, and investigate links between flow characteristics and magnetic activity. The primary goal is to determine flow descriptors, which can improve solar activity forecasts. In particular, by employing machine learning classifiers, we test how the flow helicity and velocity shear descriptors can improve the prediction of initiation of flares and CME eruptions.
Document ID
20200000425
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
Kosovichev, Alexander (New Jersey Institute of Technology Newark, NJ, United States)
Sadykov, Viacheslav (Bay Area Environmental Research Institute (BAERI) Moffett Field, CA, United States)