Active Region Flux Transport Observational Techniques, Results, & Implications B. T. Welsch G. H. Fisher

Slides:



Advertisements
Similar presentations
Estimating the magnetic energy in solar magnetic configurations Stéphane Régnier Reconnection seminar on Thursday 15 December 2005.
Advertisements

Study of Magnetic Helicity Injection in the Active Region NOAA Associated with the X-class Flare of 2011 February 15 Sung-Hong Park 1, K. Cho 1,
Estimating Surface Flows from HMI Magnetograms Brian Welsch, SSL UC-Berkeley GOAL: Consider techniques available to estimate flows from HMI vector magnetograms,
Time Series of Magnetograms: Evolution, Interpretations, Inferring Flows G. Fisher, Y. Li, B. Welsch.
Energy and Helicity in Emerging Active Regions Yang Liu, Peter Schuck, and HMI vector field data team.
Inductive Flow Estimation for HMI Brian Welsch, Dave Bercik, and George Fisher, SSL UC-Berkeley.
The Magnetic & Energetic Connection Between the Photosphere & Corona Brian Welsch, Bill Abbett, George Fisher, Yan Li, Jim McTiernan, et al. Why do we.
Using HMI to Understand Flux Cancellation by Brian Welsch 1, George Fisher 1, Yan Li 1, and Xudong Sun 2 1 Space Sciences Lab, UC-Berkeley, 2 Stanford.
Can We Determine Electric Fields and Poynting Fluxes from Vector Magnetograms and Doppler Shifts? by George Fisher, Brian Welsch, and Bill Abbett Space.
Photospheric Flows and Solar Flares Brian T. Welsch 1, Yan Li 1, Peter W. Schuck 2, & George H. Fisher 1 1 Space Sciences Lab, UC-Berkeley 2 Naval Research.
SHINE Campaign Event: 1-2 May 1998 Brian Welsch (& Yan Li) Space Sciences Laboratory, UC Berkeley Introduction: Data, Context, etc. Work: Completed & Ongoing.
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.
How are photospheric flows related to solar flares? Brian T. Welsch 1, Yan Li 1, Peter W. Schuck 2, & George H. Fisher 1 1 SSL, UC-Berkeley 2 NASA-GSFC.
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.
HMI, Photospheric Flows and ILCT Brian Welsch, George Fisher, Yan Li, & the UCB/SSL MURI & CISM Teams HMI Team Mtg., 2006M3: Mag Data Products Correlation.
Estimating Electric Fields from Sequences of Vector Magnetograms George H. Fisher, Brian T. Welsch, William P. Abbett, and David J. Bercik University of.
HMI & Photospheric Flows 1.Review of methods to determine surface plasma flow; 2.Comparisons between methods; 3.Data requirements; 4.Necessary computational.
HMI – Synoptic Data Sets HMI Team Meeting Jan. 26, 2005 Stanford, CA.
Free Magnetic Energy: Crude Estimates by Brian Welsch, Space Sciences Lab, UC-Berkeley.
MSU Team: R. C. Canfield, D. W. Longcope, P. C. H. Martens, S. Régnier Evolution on the photosphere: magnetic and velocity fields 3D coronal magnetic fields.
1 SDO/HMI Products From Vector Magnetograms Yang Liu – Stanford University
Estimating Electric Fields from Vector Magnetogram Sequences G. H. Fisher, B. T. Welsch, W. P. Abbett, D. J. Bercik University of California, Berkeley.
How are photospheric flows related to solar flares? Brian T. Welsch 1, Yan Li 1, Peter W. Schuck 2, & George H. Fisher 1 1 SSL, UC-Berkeley 2 NASA-GSFC.
Magnetic Field Extrapolations And Current Sheets B. T. Welsch, 1 I. De Moortel, 2 and J. M. McTiernan 1 1 Space Sciences Lab, UC Berkeley 2 School of Mathematics.
Free Energies via Velocity Estimates B.T. Welsch & G.H. Fisher, Space Sciences Lab, 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,
Determining flows from magnetic field evolution An outline of the approach we’ve adopted at UCB (Welsch, Fisher, Abbett, Regnier)
Magnetic Helicity • Magnetic helicity measures
Inductive Local Correlation Tracking or, Getting from One Magnetogram to the Next Goal (MURI grant): Realistically simulate coronal magnetic field in eruptive.
UCB-SSL Progress Report for the Joint CCHM/CWMM Workshop W.P. Abbett, G.H. Fisher, and B.T. Welsch.
Understanding the Connection Between Magnetic Fields in the Solar Interior and the Solar Corona George H. Fisher Space Sciences Laboratory UC Berkeley.
Finding Photospheric Flows with I+LCT or,“Everything you always wanted to know about velocity at the photosphere, but were afraid to ask.” B. T. Welsch,
Summary of workshop on AR May One of the MURI candidate active regions selected for detailed study and modeling.
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)
How are photospheric flows related to solar flares? Brian T. Welsch 1, Yan Li 1, Peter W. Schuck 2, & George H. Fisher 1 1 SSL, UC-Berkeley 2 NASA-GSFC.
Magnetogram Evolution Near Polarity Inversion Lines Brian Welsch and Yan Li Space Sciences Lab, UC-Berkeley, 7 Gauss Way, Berkeley, CA , USA.
Measuring, Understanding, and Using Flows and Electric Fields in the Solar Atmosphere to Improve Space Weather Prediction George H. Fisher Space Sciences.
The May 1,1998 and May 12, 1997 MURI events George H. Fisher UC Berkeley.
Flows in NOAA AR 8210: An overview of MURI progress to thru Feb.’04 Modelers prescribe fields and flows (B, v) to drive eruptions in MHD simulations MURI.
Tests and Comparisons of Photospheric Velocity Estimation Techniques Brian Welsch, George Fisher, Bill Abbett, & Yan Li Space Sciences Laboratory, UC-Berkeley.
Using HMI to Understand Flux Cancellation by Brian Welsch 1, George Fisher 1, Yan Li 1, and Xudong Sun 2 1 Space Sciences Lab, UC-Berkeley, 2 Stanford.
On the Origin of Strong Gradients in Photospheric Magnetic Fields Brian Welsch and Yan Li Space Sciences Lab, UC-Berkeley, 7 Gauss Way, Berkeley, CA ,
Surface Flows From Magnetograms Brian Welsch, George Fisher, Bill Abbett, & Yan Li Space Sciences Laboratory, UC-Berkeley Marc DeRosa Lockheed-Martin Advanced.
Flows and the Photospheric Magnetic Field Dynamics at Interior – Corona Interface Brian Welsch, George Fisher, Yan Li, & the UCB/SSL MURI & CISM Teams.
Data-Driven Simulations of AR8210 W.P. Abbett Space Sciences Laboratory, UC Berkeley SHINE Workshop 2004.
Study of magnetic helicity in solar active regions: For a better understanding of solar flares Sung-Hong Park Center for Solar-Terrestrial Research New.
How Does Free Magnetic Energy Enter the Corona? Brian Welsch, Space Sciences Lab, UC Berkeley Free magnetic energy, equivalent to departures of the coronal.
Space Weather Forecast With HMI Magnetograms: Proposed data products Yang Liu, J. T. Hoeksema, and HMI Team.
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.
Surface Flows From Magnetograms Brian Welsch, George Fisher, Bill Abbett, & Yan Li Space Sciences Laboratory, UC-Berkeley M.K. Georgoulis Applied Physics.
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.
B. T. Welsch Space Sciences Lab, Univ. of California, Berkeley, CA J. M. McTiernan Space Sciences.
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.
UCB MURI Team Introduction An overview of ongoing work to understand a well observed, eruptive active region, along with closely related studies…..
2002 May 1MURI VMG mini-workshop1` Solar MURI Vector Magnetogram Mini-Workshop Using Vector Magnetograms in Theoretical Models: Plan of Action.
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.
The May 1997 and May 1998 MURI events George H. Fisher UC Berkeley.
SH31C-08: The Photospheric Poynting Flux and Coronal Heating Some models of coronal heating suppose that convective motions at the photosphere shuffle.
Estimating Free Magnetic Energy from an HMI Magnetogram by Brian T. Welsch Space Sciences Lab, UC-Berkeley Several methods have been proposed to estimate.
Photospheric Flows & Flare Forecasting tentative plans for Welsch & Kazachenko.
Practical Calculation of Magnetic Energy and Relative Magnetic Helicity Budgets in Solar Active Regions Manolis K. Georgoulis Research Center for Astronomy.
Is there any relationship between photospheric flows & flares? Coupling between magnetic fields in the solar photosphere and corona implies that flows.
Evolutionary Characteristics of Magnetic Helicity Injection in Active Regions Hyewon Jeong and Jongchul Chae Seoul National University, Korea 2. Data and.
1 Yongliang Song & Mei Zhang (National Astronomical Observatory of China) The effect of non-radial magnetic field on measuring helicity transfer rate.
Global Forces in Eruptive Solar Flares: The Role of the Lorentz Force George H. Fisher, Benjamin J. Lynch, David J. Bercik, Brian T. Welsch, & Hugh S.
What we can learn from active region flux emergence David Alexander Rice University Collaborators: Lirong Tian (Rice) Yuhong Fan (HAO)
2. Method outline2. Method outline Equation of relative helicity (Berger 1985): - : the fourier transform of normal component of magnetic field on the.
Magnetic Helicity in Emerging Active Regions: A Statistical Study
Magnetic Topology of the 29 October 2003 X10 Flare
Presentation transcript:

Active Region Flux Transport Observational Techniques, Results, & Implications B. T. Welsch G. H. Fisher Space Sciences Lab, Univ. of California, Berkeley, CA Fourier local correlation tracking (FLCT) was applied to time series of the normal magnetic field in vector magnetograms of NOAA AR 8210, from 17: :29 UT on 1998 May 1, to derive photospheric flows. These flows, combined with both the observed horizontal magnetic field and an inferred horizontal potential magnetic field, can be used to derive the flux of free magnetic energy across the photosphere. Here, we present the formalism used, as well as a map of the time- averaged free energy flux. Over the time interval covered by the magnetograms, ~10 31 erg of free magnetic energy flowed upward across the photosphere, a significant fraction of the energy typically released in large flares coronal mass ejections (CMEs). A flare and CME began at 22:30 UT. We acknowledge the kind support of AFOSR's MURI program.

We derived flows from vector magnetograms of AR 8210, on 01 May 1998, from 17:13 – 21:29 UT. IVM spectra were summed in time to generate magnetograms We tracked the initial & final magnetograms, so  t = 4 hr., 16 min. 1 Pix ~ 1280 km ~ 1.8” M flare & CME occur- red near 22:30 UT

Fourier local correlation tracking (FLCT, Welsch et al. 2004) finds u(x 1,x 2 ) by correlating subregions. 1) for ea. (x i, y i ) above |B| threshold … 2) apply Gaussian mask at (x i, y i ) … 3) truncate and cross-correlate… * 4) u(x i, y i ) is inter- polated max. of correlation funct = = =

Demoulin & Berger (2003) argued that LCT applied to magnetograms does not necessarily give plasma velocities. u f  v n B h -v h B n is the flux transport velocity u f is the apparent velocity (2 components) v  is the actual plasma velocity (3 comps) The apparent motion of flux on the photosphere, u f, is a combination of horizontal flows and vertical flows acting on non-vertical fields.

Aside: Doppler shifts (  v n ) can’t distinguish between flows that are parallel to B, perpendicular to B, or neither. “Inductive flow” methods derive flows from observed normal magnetic field changes,  B n /  t. Since  B n /  t =  x (v x B), flows v || along B do not affect  B n /  t, so inductive methods can only determine v . Once v  is known, the measured Doppler shift allows determination of v ||.

Many techniques exist to determine velocities from time series of vector magnetograms, e.g., LCT (Démoulin & Berger 2003); ILCT, Inductive LCT (Welsch et al. 2004); MEF, Minimum Energy Fit (Longcope 2004); DLCT & DAVE, Differential LCT & Diff’l Affine Velocity Estimator (Schuck 2006). A paper comparing these methods’ accuracy, using synthetic magnetograms generated by an MHD simulation, is currently in preparation.

Aside: Free magnetic energy is the difference in energies of the actual field B and the potential field B (P). The actual magnetic energy is U   dV (B · B)/8 . The lowest possible magnetic energy matching the observed B n is U (P)   dV (B (P) · B (P) )/8 . –B (P) is current-free (curl-free); –Equivalently, B (P) is “potential:” B (P) = - , with  2  = 0. Free energy is the difference U (F) = U – U (P) This is the energy available to power flares and CMEs!

Photospheric velocities determine the flux of energy across the photosphere “into” B & B (P). The Poynting flux, S z, is the change in actual magnetic energy, equal to c(E x B)/4 , with E = -(v x B)/c. 4  S n = [(v x B) x B] n = (B h · B h )v n – (v h ·B h )B n = – (B n v h – v n B h ) · B h = – (u f B n ) · B h A “Poynting-like” flux can also be derived for the potential magnetic field, B (P) (Welsch, 2006): 4  S n (P) = – (B n v h – v n B h ) ·B h (P) = – (u f B n ) · B h (P) B evolves via the induction equation & preserves field lines’ connections, but B (P) does not – so connections in B (P) change.

The “free energy flux (FEF) density” is the difference between energy fluxes into B and B (P). Depends on photospheric (B x, B y, B z ), (u x,u y ), and (B x (P), B y (P) ). From vector magnetograms. Computed* from B z. Derived via FLCT. S n (F) = (S n - S n (P) )/4  = – (u f B n ) · (B h - B h (P) ) The free energy flux is U (F) =  dxdy S n (F) Large  dt (  t U (F) ) could predict flares/CMEs. * B (P) was computed using a both a Green’s function method.

Measured B h (red) and potential B h (P) (blue) photospheric magnetic vectors, superimposed on a grayscale image of B n. Measured values shown are averaged from two magnetograms at 17:13 & 21:29 UT.

Grayscale image of S n (F), the flux of free energy across the photosphere; white & black correspond to upward & downward (resp.) fluxes. Black vectors are measured B h, and white vectors are derived flows, u (LCT). Black & white contours are 100 G level curves of negative & positive (resp.) regions of B n. (For clarity, only contours up to 500 G in |B n | are shown.)

Using flows u f derived by FLCT, combined with the measured vector magnetic field B h and a potential extrapolation B h (P), we computed a net upward flux of S n (F) ~10 31 ergs of free magnetic energy across the photosphere in NOAA AR 8210 from 17:13 – 21:29 UT on 01 May 1998, a significant fraction of the energy released in typical flares & CMEs. Similar studies using next generation vector magnetographs (SOLIS, FPP on Solar B, HMI on SDO) could show a correlation between free energy flux and flares & CMEs. References Démoulin & Berger, 2003: Magnetic Energy and Helicity Fluxes at the Photospheric Level, Démoulin, P., and Berger, M. A. Sol. Phys., v. 215, # 2, p Longcope, 2004: Inferring a Photospheric Velocity Field from a Sequence of Vector Magnetograms: The Minimum Energy Fit, ApJ, v. 612, # 2, p Schuck, 2006: Tracking Magnetic Footpoints with the Magnetic Induction Equation, ApJ (submitted, 2006) Welsch et al., 2004: ILCT: Recovering Photospheric Velocities from Magnetograms by Combining the Induction Equation with Local Correlation Tracking, Welsch, B. T., Fisher, G. H., Abbett, W.P., and Regnier, S., ApJ, v. 610, #2, p Welsch, 2006: Magnetic Flux Cancellation and Coronal Magnetic Energy, ApJ, v. 638, #2, p CONCLUSIONS