Role of observable nonlinearities in solar cycle modulation
arXiv:2112.14465 · doi:10.1051/0004-6361/202142572
Abstract
Context. Two candidate mechanisms have recently been considered for the nonlinear modulation of solar cycle amplitudes. Tilt quenching (TQ) is a negative feedback between cycle amplitude and the mean tilt angle of bipolar active regions relative to the azimuthal direction; latitude quenching (LQ) consists in a positive correlation between cycle amplitude and average emergence latitude of active regions. Aims. Here we explore the relative importance of and the determining factors behind the LQ and TQ effects. Methods. The degree of nonlinearity induced by TQ, LQ and their combination is systematically probed in a grid of surface flux transport (SFT) models. The role of TQ and LQ is also explored in the successful 2x2D dynamo model optimized to reproduce the statistical behaviour of real solar cycles. Results. The relative importance of LQ vs TQ is found to correlate with the ratio u 0 /η in the SFT model grid, where u 0 is the meridional flow amplitude and η is diffusivity. An analytical interpretation of this result is given, further showing that the main underlying parameter is the dynamo effectivity range λ R which in turn is determined by the ratio of equatorial flow divergence to diffusivity. The relative importance of LQ vs TQ is shown to scale as C 1 +C 2 /λ 2 R . The presence of a latitude quenching is demonstrated in the 2x2D dynamo, contributing to the nonlinear modulation by an amount comparable to TQ. For other dynamo and SFT models considered in the literature the contribution of LQ to the modulation covers a broad range from being insignificant to being the dominant form of feedback. On the other hand, the contribution of a TQ effect (with the usually assumed amplitude) is never negligible.
arXiv comment9 pages, 10 figures; Astronomy and Astrophysics, Accepted: 03 January 2022
References in corpus (25)
- Solar cycle prediction
- Sunspot group tilt angles and the strength of the solar cycle
- Prediction of the strength and timing of sunspot cycle 25 reveal decadal-scale space environmental conditions
- Solar cycle prediction using precursors and flux transport models
- Progress in Solar Cycle Predictions: Sunspot Cycles 24-25 in Perspective
- Magnetic Flux Transport at the Solar Surface
- Surface flux transport modeling for solar cycles 15--21: effects of cycle-dependent tilt angles of sunspot groups
- The solar magnetic field since 1700: I. Characteristics of sunspot group emergence and reconstruction of the butterfly diagram
- Predictability of the solar cycle over one cycle
- A Double-Ring Algorithm for Modeling Solar Active Regions: Unifying Kinematic Dynamo Models and Surface Flux-Transport Simulations
- A coupled D Babcock-Leighton solar dynamo model. II. Reference dynamo solutions
- Nonlinear mechanisms that regulate the solar cycle amplitude
- A coupled 22D Babcock-Leighton solar dynamo model. I. Surface magnetic flux evolution
- Magnetic field dependence of bipolar magnetic region tilts on the Sun: Indication of tilt quenching
- Towards an algebraic method of solar cycle prediction I. Calculating the ultimate dipole contributions of individual active regions
- Predicting solar surface large-scale magnetic field of Cycle 24
- The polar precursor method for solar cycle prediction: comparison of predictors and their temporal range
- The turbulent diffusion of toroidal magnetic flux as inferred from properties of the sunspot butterfly diagram
- Using the Dipolar and Quadrupolar Moments to Improve Solar-Cycle Predictions Based on the Polar Magnetic Fields
- How many active regions are necessary to predict the solar dipole moment?
- Parameter optimization for surface flux transport models
- Dynamo saturation through the latitudinal variation of bipolar magnetic regions in the Sun
- Sunspot tilt angles revisited: Dependence on the solar cycle strength
- Oscillator models of the solar cycle: Towards the development of inversion methods
- Optimization of surface flux transport models for the solar polar magnetic field
Cited by in corpus (15)
- Models for the long-term variations of solar activity
- Surface Flux Transport on the Sun
- Long-term modulation of solar cycles
- Evolution of solar and stellar dynamo theory
- Physical Models for Solar Cycle Predictions
- Modeling effects of starspots on stellar magnetic cycles
- Minimal Roles of Solar Subsurface Meridional Flow in the distributed-shear Babcock-Leighton Dynamo
- Role of sunspot latitude versus tilt in determining the polar field and amplitude of the next cycle: Cause of the weak Solar Cycle 20
- Observation-Based Iterative Map for Solar Cycles. I. Nature of Solar Cycle Variability
- Active regions and the large-scale magnetic field of solar cycle 24
- The rush to the poles and the role of magnetic buoyancy in the solar dynamo
- Solar Cycle Prediction: Challenges, Progress, and Future Perspectives
- Effect of Nonlinear Surface Inflows into Activity Belts on Solar Cycle Modulation
- Ultra-fast simulations of the solar dipole and open flux
- Narrowing the solar surface flux transport parameter space through nonlinear feedbacks