Finding the Flow Field Need flow information! –ideal evolution of coronal B(x,y,z,t) determined entirely by B(x,y,z,0) and v(x,y,0) – get v wrong and get.

Slides:



Advertisements
Similar presentations
SPD June 16, 2003 Separators: Fault Lines in the Magnetic Field Dana Longcope Montana State University.
Advertisements

1 A New Model of Solar Flare Trigger Mechanism Kanya Kusano (Hiroshima University) Collaboration with T.Maeshiro (Hiroshima Univ.) T.Yokoyama (Univ. of.
Energy and Helicity Budget of Four Solar Flares and Associated Magnetic Clouds. Maria D. Kazachenko, Richard C. Canfield, Dana Longcope, Jiong Qiu Montana.
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.
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.
Photospheric Flows and Magnetic Fields, and Their Role in CME/Flare Initiation Brian T. Welsch Space Sciences Lab, UC-Berkeley Although CMEs and flares.
Quantitative Analysis of Observations of Flux Emergence by Brian Welsch 1, George Fisher 1, Yan Li 1, and Xudong Sun 2 1 Space Sciences Lab, 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.
Can We Determine Electric Fields and Poynting Fluxes from Vector Magnetograms and Doppler Shifts? by George Fisher, Brian Welsch, and Bill Abbett Space.
Evolution of Magnetic Helicity in the Corona During Flux Emergence Anna Malanushenko, Humed Yusuf, Dana Longcope.
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:
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.
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.
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.
Dec. 10, 2004RHESSI/SOHO/TRACE The Minimum Energy Fit Consistent with Induction at Minimum Possible Cost Dana Longcope Montana State University Work supported.
M3 Session AIA/HMI Science Meeting D-1 : M3-Magnetic Field Data Products Data Product Development Session Chairs: R. Larsen/Y. Liu Status: [draft]
HMI – Synoptic Data Sets HMI Team Meeting Jan. 26, 2005 Stanford, CA.
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.
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.
Modeling Active Region Magnetic Fields on the Sun W.P. Abbett Space Sciences Laboratory University of California, Berkeley.
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)
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,
Dec. 2, 2008 Bangalore, India Active region emergence and its effect on the solar corona Dana Longcope Montana State University, Bozeman, MT Isaac Klapper.
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)
A Comparison Between Magnetic Charge Topology and Local Correlation Tracking of Solar Active Regions Joanna Bridge Montana State University Solar Physics.
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.
Measuring, Understanding, and Using Flows and Electric Fields in the Solar Atmosphere to Improve Space Weather Prediction George H. Fisher Space Sciences.
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.
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.
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.
High Altitude Observatory (HAO) – National Center for Atmospheric Research (NCAR) The National Center for Atmospheric Research is operated by the University.
Data-Driven Simulations of AR8210 W.P. Abbett Space Sciences Laboratory, UC Berkeley SHINE Workshop 2004.
Jan. 27, 2005HMI team meeting The Minimum Energy Fit The Slowest Motion Required by Induction Dana Longcope Montana State University Work supported by.
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.
Active Region Flux Transport Observational Techniques, Results, & Implications B. T. Welsch G. H. Fisher
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.
Can the coronal field’s susceptibility to emergence-induced eruption be estimated? SSPVSE Discussion Group B, Wed., 19 Oct B. Welsch, Space Sciences.
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.
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.
1 What is the best way to use the chromospheric field information in coronal field extrapolation? Current state of art are nonlinear force-free extrapolations.
Helicity: where it comes from and what it tells us Dana Longcope, MSU Anna Malanushenko, MSU/LMSAL 8/11/10Canfield-fest Thanks: Graham Barnes, CoRA B.
Estimating Free Magnetic Energy from an HMI Magnetogram by Brian T. Welsch Space Sciences Lab, UC-Berkeley Several methods have been proposed to estimate.
Thomas Zurbuchen University of Michigan The Structure and Sources of the Solar Wind during the Solar Cycle.
Photospheric Flows & Flare Forecasting tentative plans for Welsch & Kazachenko.
3D simulations of solar emerging flux ISOBE Hiroaki Plasma seminar 2004/04/28.
SIMULATING SHOCKS IN SOLAR FLARES Matthew Thornton “If there is a solar flare or a nuclear war, a thousand cans of pickled turnips aren’t going to save.
Evolutionary Characteristics of Magnetic Helicity Injection in Active Regions Hyewon Jeong and Jongchul Chae Seoul National University, Korea 2. Data and.
From the Convection Zone to the Heliosphere
Presentation transcript:

Finding the Flow Field Need flow information! –ideal evolution of coronal B(x,y,z,t) determined entirely by B(x,y,z,0) and v(x,y,0) – get v wrong and get topology wrong! –energy flux into corona via Poynting flux: S = (v x B) x B Contending methods are: 1. Local Correlation Tracking (LCT) 2. Minimum Energy Functional (MEF)

Minimum Energy Functional We want v to solve induction eqn’s z-comp: Solution is underdetermined by data! Longcope: try minimizing “kinetic energy!”

Local Correlation Tracking Essentially, relate signal in “before” and “after” images to find the best shift. DISAD: no info about z-comp. of v! DISAD: v not necess. consistent w/physics!

Testing MEF & LCT: Use MHD simulations from Abbett et al. and Magara w/known v & B Compare inverted velocities with “truth.”

MEF

MEF zoom

Fisher’s LCT

November’s LCT

Preliminary results: MEF outperforms our LCT codes –marginally! All routines make notable mistakes! –LCT fails in regions of strong –MEF finds asymmetric solutions from symmetric data

Take-home points: –Problems exist with LCT! - our community needs to know its limits –MEF is just beginning to be understood -smoothings/thresholds alter results -still, might be our best bet for finding v -This work is still in progress!