Modeling Emerging Magnetic Flux W.P. Abbett, G.H. Fisher & Y. Fan.

Slides:



Advertisements
Similar presentations
The Vertical Structure of Radiation Dominated Accretion Disks Omer Blaes with Shigenobu Hirose and Julian Krolik.
Advertisements

Chapter 8 The Sun – Our Star.
Session: Computational Wave Propagation: Basic Theory Igel H., Fichtner A., Käser M., Virieux J., Seriani G., Capdeville Y., Moczo P.  The finite-difference.
Chip Manchester, Fang Fang, Bill Abbett, Bart van der Holst Patterns of Large- Scale Flux Emegence Patterns of Large- Scale Flux Emegence.
TOWARDS A REALISTIC, DATA-DRIVEN THERMODYNAMIC MHD MODEL OF THE GLOBAL SOLAR CORONA Cooper Downs, Ilia I. Roussev, Bart van der Holst, Noe Lugaz, Igor.
Modeling the Magnetic Field Evolution of the December Eruptive Flare Yuhong Fan High Altitude Observatory, National Center for Atmospheric Research.
Simulation of Flux Emergence from the Convection Zone Fang Fang 1, Ward Manchester IV 1, William Abbett 2 and Bart van der Holst 1 1 Department of Atmospheric,
Chip Manchester 1, Fang Fang 1, Bart van der Holst 1, Bill Abbett 2 (1)University of Michigan (2)University of California Berkeley Study of Flux Emergence:
“Assimilating” Solar Data into MHD Models of the Solar Atmosphere W.P. Abbett SSL UC Berkeley HMI Team Meeting, Jan 2005.
Using Photospheric Flows Estimated from Vector Magnetogram Sequences to Drive MHD Simulations B.T. Welsch, G.H. Fisher, W.P. Abbett, D.J. Bercik, Space.
1 A New Technique for Deriving Electric Fields from Sequences of Vector Magnetograms George H. Fisher Brian T. Welsch William P. Abbett David J. Bercik.
Solar Convection Simulations Bob Stein David Benson.
Reducing the Divergence of Optimization-Generated Magnetic Fields J.M. McTiernan, B.T. Welsch, G.H. Fisher, D.J. Bercik, W.P. Abbett Space Sciences Lab.
Simulations of Emerging Magnetic Flux in Active Regions W. P. Abbett Space Sciences Laboratory University of California, Berkeley.
Update: Incorporating Vector Magnetograms into Dynamic Models of the Solar Atmosphere CISM-AG Meeting: March 2006 Bill Abbett, Brian Welsch, George Fisher.
Local Data-driven MHD Simulations of Active Regions W.P. Abbett MURI 8210 Workshop Mar 2004.
UCB-SSL Plans for Next Year Joint CCHM/CWMM Workshop, July 2007 W.P. Abbett, G.H. Fisher, and B.T. Welsch.
Coupled Models for the Emergence of Magnetic Flux into the Solar Corona W. P. Abbett UC Berkeley SSL G. H. Fisher, Y. Fan, S. A. Ledvina, Y. Li, and D.
Understanding Magnetic Eruptions on the Sun and their Interplanetary Consequences A Solar and Heliospheric Research grant funded by the DoD MURI program.
Modeling Active Region Magnetic Fields on the Sun W.P. Abbett Space Sciences Laboratory University of California, Berkeley.
New Opportunities: Flux Emergence Modeling George H. Fisher Space Sciences Laboratory UC Berkeley.
Incorporating Vector Magnetic Field Measurements into MHD models of the Solar Atmosphere W.P. Abbett Space Sciences Laboratory, UC Berkeley and B.T. Welsch,
Understanding Magnetic Eruptions on the Sun and their Interplanetary Consequences A Solar and Heliospheric Research grant funded by the DoD MURI program.
From detailed magneto- convection simulations to modelling the convection zone-corona system Mats Carlsson Institute of Theoretical Astrophysics, University.
UCB-SSL Progress Report for the Joint CCHM/CWMM Workshop W.P. Abbett, G.H. Fisher, and B.T. Welsch.
Discussion Summary: Group B –Solar Active Regions And Their Production of Flares and Coronal Mass Ejections Discussion Leaders: George Fisher Hugh Hudson.
Reconstructing Active Region Thermodynamics Loraine Lundquist Joint MURI Meeting Dec. 5, 2002.
Subsurface Evolution of Emerging Magnetic Fields Yuhong Fan (HAO/NCAR) High Altitude Observatory (HAO) – National Center for Atmospheric Research (NCAR)
SSL (UC Berkeley): Prospective Codes to Transfer to the CCMC Developers: W.P. Abbett, D.J. Bercik, G.H. Fisher, B.T. Welsch, and Y. Fan (HAO/NCAR)
Judy Karpen, Spiro Antiochos, Rick DeVore, and Mark Linton MHD Simulations of Flux Cancellation on the Sun* *Work supported by ONR and NASA.
Chamber Dynamic Response Modeling Zoran Dragojlovic.
Ward Manchester University of Michigan Coupling of the Coronal and Subphotospheric Magnetic Field in Active Regions by Shear Flows Driven by The Lorentz.
Toward More Realistic 3D MHD Simulations of Magnetic Flux Emergence (and Decay) in Active Regions W. P. Abbett Space Sciences Laboratory University of.
Measuring, Understanding, and Using Flows and Electric Fields in the Solar Atmosphere to Improve Space Weather Prediction George H. Fisher Space Sciences.
Active Region Magnetic Fields in the Solar Interior W.P. Abbett UC Berkeley SSL.
M1-H2: Magnetic Activity Science Goals and Approaches DRAFT! Chair(s): Abbett/Hoeksema/Komm.
Flows and the Photospheric Magnetic Field Dynamics at Interior – Corona Interface Brian Welsch, George Fisher, Yan Li, & the UCB/SSL MURI & CISM Teams.
High Altitude Observatory (HAO) – National Center for Atmospheric Research (NCAR) The National Center for Atmospheric Research is operated by the University.
Understanding Magnetic Eruptions on the Sun and their Interplanetary Consequences A Solar and Heliospheric Research grant funded by the DoD MURI program.
Data-Driven Simulations of AR8210 W.P. Abbett Space Sciences Laboratory, UC Berkeley SHINE Workshop 2004.
Turbulent Dynamos and Small-Scale Activity in the Sun and Stars George H. Fisher Dave Bercik Chris Johns-Krull Lauren Alsberg Bill Abbett.
Modeling the Dynamic Evolution of the Solar Atmosphere: C4: HMI-AIA Team Meeting: Bill Abbett SSL, UC Berkeley.
Merging of coronal and heliospheric numerical two-dimensional MHD models D. Odstrcil, et al., J. Geophys. Res., 107, 年 10 月 14 日 太陽雑誌会 ( 速報.
Using Photospheric Flows Estimated from Vector Magnetogram Sequences to Drive MHD Simulations B.T. Welsch, G.H. Fisher, W.P. Abbett, D.J. Bercik, Space.
The Effect of Sub-surface Fields on the Dynamic Evolution of a Model Corona Goals :  To predict the onset of a CME based upon reliable measurements of.
1 A New Technique for Deriving Electric Fields from Sequences of Vector Magnetograms George H. Fisher Brian T. Welsch William P. Abbett David J. Bercik.
Using Simulations to Test Methods for Measuring Photospheric Velocity Fields W. P. Abbett, B. T. Welsch, & G. H. Fisher W. P. Abbett, B. T. Welsch, & G.
MHD Modeling of the Large Scale Solar Corona & Progress Toward Coupling with the Heliospheric Model.
Summary of UCB MURI workshop on vector magnetograms Have picked 2 observed events for targeted study and modeling: AR8210 (May 1, 1998), and AR8038 (May.
New Coupled Models of Emerging Magnetic Flux in Active Regions W. P. Abbett, S. A. Ledvina, and G.H. Fisher.
Data-Driven MHD Modeling of CME Events
Solar Applications of the Space Weather Modeling Framework R. M. Evans 1,2, J. A. Klimchuk 1 1 NASA GSFC, 2 GMU February 2014 SDO AIA 171 Å.
Solar Physics Course Lecture Art Poland Modeling MHD equations And Spectroscopy.
Numerical simulations are used to explore the interaction between solar coronal mass ejections (CMEs) and the structured, ambient global solar wind flow.
The Dynamic Evolution of Twisted Omega-loops in a 3D Convective Flow W.P. Abbett 1, Y. Fan 2, & G. H. Fisher 1 W.P. Abbett 1, Y. Fan 2, & G. H. Fisher.
Understanding the Photospheric and Near-Photospheric Magnetic Field A View of the Past, Present, and Future of First-Principles Magnetic Field Modeling.
3D simulations of solar emerging flux ISOBE Hiroaki Plasma seminar 2004/04/28.
1 SPD Meeting, July 8, 2013 Coronal Mass Ejection Plasma Heating by Alfvén Wave Dissipation Rebekah M. Evans 1,2, Merav Opher 3, and Bart van der Holst.
3D Spherical Shell Simulations of Rising Flux Tubes in the Solar Convective Envelope Yuhong Fan (HAO/NCAR) High Altitude Observatory (HAO) – National Center.
II. MAGNETOHYDRODYNAMICS (Space Climate School, Lapland, March, 2009) Eric Priest (St Andrews)
Team Report on integration of FSAM to SWMF and on FSAM simulations of convective dynamo and emerging flux in the solar convective envelope Yuhong Fan and.
SHINE 2006 David Alexander Rice University Exploring the dynamics of flux-emergence in magnetically-complex solar active regions David Alexander and Lirong.
Data-constrained Simulation of CME Initiation and Propagation Antonia Savcheva ESPM 2014 September 11, 2014 Collaborators: R. Evans, B. van der Holst,
Simulations of Solar Convection Zone Nagi N. Mansour.
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
Ward Manchester University of Michigan
WG1 – Sub-surface magnetic connections
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
D. Odstrcil1,2, V.J. Pizzo2, C.N. Arge3, B.V.Jackson4, P.P. Hick4
Abstract We simulate the twisting of an initially potential coronal flux tube by photospheric vortex motions. The flux tube starts to evolve slowly(quasi-statically)
Presentation transcript:

Modeling Emerging Magnetic Flux W.P. Abbett, G.H. Fisher & Y. Fan

Sub-surface Modeling  ANMHD --- 3D MHD in the anelastic approximation  Pseudo-spectral technique  Code is mature --- optimized for use on both shared and distributed memory machines (eg. IBM SP, SGI Origin 3800), as well as single-processor workstations  Numerical algorithm allows for extensive exploration of parameter space exploration of parameter space

ANMHD Examples: LHS --- magneto-convection and the local solar dynamo; RHS --- emerging magnetic flux.

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.) and evolving in a non-stratified domain using a periodic spectral code (RHS -- Linton).

Delta Spot Active Regions modeled as buoyant, initially kink-unstable flux tubes that emerge through CZ (Linton et al.) Q: Is emerging flux (especially in highly sheared configurations) an important component of the CME initiation process?

ANMHD --- Summary  Provides numerous, simulated active region datasets that can be used to provide self-consistent, depth dependent sub-photospheric velocity and magnetic fields for input into global coronal models  Future development plans: SANMHD (3D spherical ANMHD --- Bercik)

Modeling the Corona  PARAMESH: A domain decomposition, adaptive mesh refinement (AMR) framework developed by MacNeice et al. and distributed by GSFC  Zeus3D: A staggered mesh finite-difference (non-relativistic) MHD code originally developed by Stone, Norman, and Clarke 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

Local Zeus3D (no AMR) flux emergence calculation

Example of driving a ZeusAMR coronal simulation with an ANMHD generated lower boundary. True “code coupling” can be achieved using the PARAMESH framework.

ZeusAMR Progress: Tasks Completed  Merged Zeus3D with PARAMESH v2.x (decomposition technique optimized for SGI shared memory architectures)  ZeusAMR transport step no longer directionally split (Fan)  ZeusAMR written to enhance portability: the NCSA editor and input decks are eliminated in favor of more modern, portable preprocessors and I/0.  Incorporated boundary conditions and refinement criteria appropriate for simulating flux emergence into the low corona  Added option to include the “Boris Correction”  Incorporated an approximate treatment of transition region heating and cooling terms

ZeusAMR: Tasks Nearly Complete  Implement and test the polar and lower radial boundary conditions when running 3D MHD simulations in spherical coordinates  Incorporate explicit resistivity into the code  Develop a user-friendly means of incorporating an initial global coronal atmosphere into a pre- defined, ZeusAMR block structure

ZeusAMR: Future development  Upgrade PARAMESH routines to v3.0 (more efficient mpi treatment for distributed memory architectures)  Add optically thin radiative cooling and conduction along fieldlines to the equation of internal energy  Incorporate the improved MoC algorithm, and the two temperature treatment of Clarke

Summary: ANMHD can provide a variety of simple (to more complicated) datasets to incorporate into the boundaries of global (or local) simulations of the corona. Different configurations can Be readily generated; the Images on the left were Calculated on a 1.2GHz Athlon PC in ~8 hours