Subsurface Flows from SDO, SOHO, and GONG (Invited)

Astronomy and Astrophysics – Astrophysics

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[7522] Solar Physics, Astrophysics, And Astronomy / Helioseismology, [7524] Solar Physics, Astrophysics, And Astronomy / Magnetic Fields, [7536] Solar Physics, Astrophysics, And Astronomy / Solar Activity Cycle

Scientific paper

Active regions (magnetic fields, in general) provide a point of contact between helioseismic studies of the upper convection zone and studies of the solar atmosphere as well as the whole heliophysics system. Helioseismic observations allow us to derive subsurface flows and sound-speed structures associated with active regions. For example, recent helioseismic studies have shown that the emergence and decay of active regions can be observed as changes in subsurface flow patterns and sound-speed variations on time scales of days. SDO will allow us to study these phenomena in unprecedented detail and the comparison with GONG and SOHO data sets will provide cross-calibration. On time scales of years, the intercomparison of the SDO, SOHO, and GONG data sets will allow us to study large-scale subsurface flows and their variation during two (or more) solar cycles. The cycle-related patterns of the zonal and the meridional flow appeared before magnetic activity of cycle 24 was present at the solar surface. With SDO and GONG, we will be able to observe these patterns during the current cycle and compare them with the patterns of the previous one observed by GONG and SOHO. Subsurface flows of active regions are also highly twisted and this appears to be related to the flare production of active regions. Helicity-loaded fields are very probably responsible for the most geoeffective solar phenomena such as coronal mass ejections and flares. It is thus of interest, for example, to find out how the kinetic helicity of subsurface flows derived from SDO and GONG Dopplergrams relates to the magnetic helicity of flux tubes derived from SDO vector magnetograms. I will discuss some of the plans for intercomparison of SDO data sets with SOHO and GONG data.

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