Surface magnetic fields predict solar cycles when poloidal flux is efficiently transported back into the dynamo or when the surface field represents the radial component of the interior poloidal field.
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Empirical scaling relations for solar active region area, pole separation, and tilt with flux and latitude are derived from ARISE data for cycles 23-25 and recommended for space climate modeling.
citing papers explorer
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Understanding mechanisms underlying solar cycle predictability with a general framework
Surface magnetic fields predict solar cycles when poloidal flux is efficiently transported back into the dynamo or when the surface field represents the radial component of the interior poloidal field.
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Solar active region scaling laws revisited
Empirical scaling relations for solar active region area, pole separation, and tilt with flux and latitude are derived from ARISE data for cycles 23-25 and recommended for space climate modeling.