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Simulations of Emerging Magnetic Flux in Active Regions

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Interior Modeling: Evolution of flux ropes deep in the Convection Zone ... The Flux Tube Picture: Toroidal flux layer near the tachocline succumbs ... – PowerPoint PPT presentation

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Title: Simulations of Emerging Magnetic Flux in Active Regions


1
Simulations of Emerging Magnetic Flux in Active
Regions
  • W. P. Abbett
  • Space Sciences Laboratory
  • University of California, Berkeley

2
Toward a Global View of Emergence
  • Interior Modeling Evolution of flux ropes deep
    in the Convection Zone
  • Surface Layers Modeling the evolution of
    magnetic features at the solar surface
  • The Local Corona Evolution of the coronal
    field in response to magnetic flux emerging
    through the photosphere
  • Global models of the solar corona
  • Coupled models Can we achieve a more holistic
    picture?

3
Interior Modeling
The Flux Tube Picture Toroidal flux layer near
the tachocline succumbs to an instability, and
creates a buoyant flux rope that ascends through
the CZ as an Omega-loop. The loop emerges
through the photosphere, and is observed as a
magnetic bipole.
(Cauzzi et al. 1996)
4
  • Modeling the Interior
  • The Thin Flux Tube Approximation
  • Assumptions
  • Active region fields behave as distinct,
    tube-like entities
  • embedded in a field-free plasma. The flux
    tube diameter
  • is small compared with all other relevant
    length scales,
  • and pressure balance exists across the tube
    at all times.
  • Advantages
  • One can derive a simplified equation of
    motion for a 1D
  • tube moving within a 3D model of the solar
    interior.

5
  • Modeling the Interior
  • The Thin Flux Tube Approximation
  • Successes
  • Certain observational properties of active
    regions can
  • be addressed for example, distribution of
    active region
  • tilt angles (Longcope Fisher 1996), and
    asymmetric
  • spot motions and morphologies (Caligari et
    al. 1995,
  • Fan Fisher, 1996).

6
  • Modeling Flux Ropes in the CZ
  • 3D local MHD in the anelastic approximation
  • Assumptions
  • Approximation results from a scaled variable
    expansion of
  • the 3D MHD equations about a zero-th order,
    stratified
  • reference state. This approximation is valid in
    the high beta,
  • gravitationally stratified plasma of the solar
    convection zone
  • below the photosphere.
  • Advantages
  • Fast-moving acoustic waves are effectively
    filtered out of the
  • simulations. Time steps are less restrictive,
    and a large
  • amount of parameter space can be explored.

7
Modeling Flux Ropes in the interior
3D vs 2D axisymmetric (Abbett et al. 2000,2001)
8
Of interest Highly twisted, knotted
configurations (Linton, Fan, Fisher)
Kink unstable magnetic flux tube rising through a
stratified model CZ (LHS using ANMHD Fan et al.
1999) and evolving in a non-stratified domain
using the periodic spectral code, CRUNCH-3D (RHS
Linton et al. 1999).
9
Delta Spot Active Regions modeled as buoyant,
initially kink-unstable flux tubes that emerge
through CZ
Q Is emerging flux (especially in highly
sheared configurations) an important component of
the CME initiation process?
10
ANMHD Examples LHS --- magneto-convection and
the local solar dynamo RHS --- emerging
magnetic flux (Abbett, Fan Fisher 2002 in prep).
11
Surface Layers
  • A fully compressible treatment is required.
  • Two approaches for modeling magnetic fields at or
    near the solar surface
  • 1. Realistic radiative-magnetoconvection over
  • small spatial scales (Stein Nordlund
    2001,
  • Bercik 2002, Gudiksen et al. 2002)
  • 2. 3D MHD simulation of the local photosphere
    /
  • transition region / low corona employing
  • an approximate treatment of the energy
    equation
  • (Fan 2001, Magara Longcope 2001)

12
Surface Layers
  • Granular-scale surface magneto-convection
  • (Bercik 2002)
  • Computationally expensive calculation
  • thus, the domain size is restricted.

13
Surface Layers Modeling Large-scale Flux
Emergence into the Corona
  • Zeus3D fully-compressible
  • 3D ideal MHD (Fan 2001)
  • Calculations of this
  • type are important to
  • test theoretical models
  • of CME initiation.
  • Do flux ropes exist in
  • the corona, and can they
  • be formed self-consistently
  • through emergence of a
  • twisted magnetic structure
  • from below?
  • Are multipolar magnetic
  • configurations necessary
  • prerequisites for an
  • eruptive event?

14
Surface Layers Modeling Large-scale Flux
Emergence into the Corona
Fully-compressible 3D ideal MHD (Magara
Longcope 2001)
15
2.5-D simulation of how a layer of magnetic field
can spontaneously shear as a result of a
mixed-mode buoyancy instability (Manchester 2001).
16
Toward Coupled models of Flux Emergence
  • PARAMESH A domain decomposition, adaptive
    mesh refinement (AMR) framework developed by
    MacNeice et al. 2000 and distributed by GSFC
  • Zeus3D A staggered mesh finite-difference
    (non-relativistic) MHD code originally developed
    by Stone Norman 1992, and publicly distributed
    by NCSA
  • ZeusAMR A fully compressible 3D MHD code with
    AMR which resulted from a merge of PARAMESH with
    a modified version of Zeus3D

17
Toward Coupled Models of Flux Emergence
  • ANMHD Interior model
  • drives the lower boundary
  • of a Zeus3D model
  • corona (Abbett in prep
  • 2002).
  • Code coupling Does
  • the corona significantly
  • affect the sub-surface
  • calculation (Welsch
  • Longcope 2000)
  • How important are
  • treatments of the
  • energy equation in
  • the transition layers
  • and corona (Mikic,
  • Linker, Lionello, Mok
  • 2002)?

18
Example of driving a ZeusAMR coronal simulation
with an ANMHD generated lower boundary. True
code coupling can be achieved using the
PARAMESH framework.
19
Toward Coupled Models of Flux Emergence Summary
  • Existing code coupling frameworks have the
    potential to provide a straightforward way to
    self-consistently connect existing numerical
    treatments of local flux emergence into
    large-scale models of global phenomena.
  • Though, the devil is in the details
  • -- Different numerical algorithms,
    boundary treatments, and physical conditions
    between individual models of different regimes
    make the task of transferring information back
    and forth between codes in a suitably efficient,
    yet physically consistent manner, a non-trivial
    task.
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