Supergranule Scale Convection Simulations

Slides:



Advertisements
Similar presentations
Turbulent Convection in Stars Kwing Lam Chan Hong Kong University of Science and Technology “A Birthday Celebration of the Contribution of Bernard Jones.
Advertisements

Numerical Simulations of Supergranulation and Solar Oscillations Åke Nordlund Niels Bohr Institute, Univ. of Copenhagen with Bob Stein (MSU) David Benson,
1 The Sun as a whole: Rotation, Meridional circulation, and Convection Michael Thompson High Altitude Observatory, National Center for Atmospheric Research.
Helioseismic data from Emerging Flux & proto Active Region Simulations Bob Stein – Michigan State U. A.Lagerfjärd – Copenhagen U. Å. Nordlund – Niels Bohr.
The Sun’s Dynamic Atmosphere Lecture 15. Guiding Questions 1.What is the temperature and density structure of the Sun’s atmosphere? Does the atmosphere.
Atmospheric Motion ENVI 1400: Lecture 3.
Emerging Flux Simulations Bob Stein A.Lagerfjard Å. Nordlund D. Benson D. Georgobiani 1.
Åke Nordlund & Anders Lagerfjärd Niels Bohr Institute, Copenhagen Bob Stein Dept. of Physics & Astronomy, MSU, East Lansing.
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,
Initial Analysis of the Large-Scale Stein-Nordlund Simulations Dali Georgobiani Formerly at: Center for Turbulence Research Stanford University/ NASA Presenting.
Solar Convection: What it is & How to Calculate it. Bob Stein.
Solar Convection Simulations Bob Stein David Benson.
Supergranulation-Scale Solar Convection Simulations David Benson, Michigan State University, USA Robert Stein, Michigan State University, USA Aake Nordlund,
Atmospheric phase correction for ALMA Alison Stirling John Richer Richard Hills University of Cambridge Mark Holdaway NRAO Tucson.
TIME-DISTANCE ANALYSIS OF REALISTIC SIMULATIONS OF SOLAR CONVECTION Dali Georgobiani, Junwei Zhao 1, David Benson 2, Robert Stein 2, Alexander Kosovichev.
Solar Turbulence Friedrich Busse Dali Georgobiani Nagi Mansour Mark Miesch Aake Nordlund Mike Rogers Robert Stein Alan Wray.
Data for Helioseismology Testing: Large-Scale Stein-Nordlund Simulations Dali Georgobiani Michigan State University Presenting the results of Bob Stein.
Convection Simulations Robert Stein Ake Nordlund Dali Georgobiani David Benson Werner Schafenberger.
Supergranulation Scale Solar Surface Convection Simulations Dali Georgobiani Michigan State University Presenting the results of Bob Stein (MSU) & Åke.
Solar Magneto-Convection: Structure & Dynamics Robert Stein - Mich. State Univ. Aake Nordlund - NBIfAFG.
Excitation of Oscillations in the Sun and Stars Bob Stein - MSU Dali Georgobiani - MSU Regner Trampedach - MSU Martin Asplund - ANU Hans-Gunther Ludwig.
Super-granulation Scale Convection Simulations Robert Stein, David Benson - Mich. State Univ. Aake Nordlund - Niels Bohr Institute.
Stokes profiles Swedish 1m Solar Telescope, perfect seeing.
R. Komm & Friends NSO, Tucson R. Komm & Friends NSO, Tucson Solar Subsurface Flows from Ring-Diagram Analysis.
Supergranulation-Scale Simulations of Solar Convection Robert Stein, Michigan State University, USA Aake Nordlund, Astronomical Observatory, NBIfAFG, Denmark.
Data for Helioseismology Testing Dali Georgobiani Michigan State University Presenting the results of Bob Stein (MSU) & Åke Nordlund (NBI, Denmark) with.
Convection Simulation of an A-star By Regner Trampedach Mt. Stromlo Observatory, Australian National University 8/19/04.
Solar Surface Dynamics convection & waves Bob Stein - MSU Dali Georgobiani - MSU Dave Bercik - MSU Regner Trampedach - MSU Aake Nordlund - Copenhagen Mats.
ob/data.html 1. Emerging Flux Simulations & proto Active Regions Bob Stein – Michigan State U. A.Lagerfjärd – Copenhagen U.
Asymmetry Reversal in Solar Acoustic Modes Dali Georgobiani (1), Robert F. Stein (1), Aake Nordlund (2) 1. Physics & Astronomy Department, Michigan State.
Simulating Solar Convection Bob Stein - MSU David Benson - MSU Aake Nordlund - Copenhagen Univ. Mats Carlsson - Oslo Univ. Simulated Emergent Intensity.
Modeling and Data Analysis Associated With Supergranulation Walter Allen.
HWRF ERROR ANALYSIS T N Krishnamurti A.Thomas A. Simon Florida State University.
Simulating Supercell Thunderstorms in a Horizontally-Heterogeneous Convective Boundary Layer Christopher Nowotarski, Paul Markowski, Yvette Richardson.
Decay of a simulated bipolar field in the solar surface layers Alexander Vögler Robert H. Cameron Christoph U. Keller Manfred Schüssler Max-Planck-Institute.
Imaging Solar Tachocline Using Numerical Simulations and SOHO/MDI Data Junwei Zhao 1, Thomas Hartlep 2, Alexander G. Kosovichev 1, Nagi N. Mansour 2 1.W.W.Hansen.
The Linear and Non-linear Evolution Mechanism of Mesoscale Vortex Disturbances in Winter Over Western Japan Sea Yasumitsu MAEJIMA and Keita IGA (Ocean.
Using Realistic MHD Simulations for Modeling and Interpretation of Quiet Sun Observations with HMI/SDO I. Kitiashvili 1,2, S. Couvidat 2 1 NASA Ames Research.
Flows in the Solar Convection Zone David Hathaway NASA/MSFC National Space Science and Technology Center 2004 July 21 David Hathaway NASA/MSFC National.
台灣清華大學, 物理系 Helioseismology (II) Global and Local Helioseismology ( , 北京 ) 周定一 Dean-Yi Chou.
Magneto-Hydrodynamic Equations Mass conservation /t = − ∇ · (u) Momentum conservation (u)/t =− ∇ ·(uu)− ∇ −g+J×B−2Ω×u− ∇ · visc Energy conservation /t.
Photospheric MHD simulation of solar pores Robert Cameron Alexander Vögler Vasily Zakharov Manfred Schüssler Max-Planck-Institut für Sonnensystemforschung.
Acoustic wave propagation in the solar subphotosphere S. Shelyag, R. Erdélyi, M.J. Thompson Solar Physics and upper Atmosphere Research Group, Department.
Emerging Flux Simulations & proto Active Regions Bob Stein – Michigan State U. A.Lagerfjärd – Copenhagen U. Å. Nordlund – Niels Bohr Inst. D. Georgobiani.
Emerging Flux Simulations & semi-Sunspots Bob Stein A.Lagerfjärd Å. Nordlund D. Georgobiani 1.
Physics 681: Solar Physics and Instrumentation – Lecture 22 Carsten Denker NJIT Physics Department Center for Solar–Terrestrial Research.
A105 Stars and Galaxies  Homework 6 due today  Next Week: Rooftop Session on Oct. 11 at 9 PM  Reading: 54.4, 55, 56.1, 57.3, 58, 59 Today’s APODAPOD.
Photospheric Flows and Structures Mark Rast Laboratory for Atmospheric and Space Physics Department of Astrophysical and Planetary Sciences University.
What we can learn from active region flux emergence David Alexander Rice University Collaborators: Lirong Tian (Rice) Yuhong Fan (HAO)
Solar Convection Simulations Robert Stein, David Benson - Mich. State Univ. Aake Nordlund - Niels Bohr Institute.
Horizontal Flows in the Photosphere and the Subphotosphere in Two Active Regions Yang Liu, Junwei Zhao, Peter W. Schuck.
Simulated Solar Plages Robert Stein, David Benson - Mich. State Univ. USA Mats Carlsson - University of Oslo, NO Bart De Pontieu - Lockheed Martin Solar.
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
THE DYNAMIC EVOLUTION OF TWISTED MAGNETIC FLUX TUBES IN A THREE-DIMENSIONALCONVECTING FLOW. II. TURBULENT PUMPING AND THE COHESION OF Ω-LOOPS.
Planning for Helioseismology with SO/PHI Birch, Gizon, & Hirzberger Max Planck Institute for Solar System Physics.
Radiative Transfer in 3D Numerical Simulations Robert Stein Department of Physics and Astronomy Michigan State University Åke Nordlund Niels Bohr Institute.
Estimation of acoustic travel-time systematic variations due to observational height difference across the solar disk. Shukur Kholikov 1 and Aleksander.
An update on convection zone modeling with the ASH code
Numerical Simulations of Solar Magneto-Convection
Solar Surface Magneto-Convection and Dynamo Action
Unit 10: Measuring the Properties of Stars
The Marine System Modelling group (MSM) at the UK's National Oceanography Centre (NOC) maintains and runs various NEMO configurations. Global, ocean-only,
Grid Point Models Surface Data.
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
Wave heating of the partially-ionised solar atmosphere
SUN COURSE - SLIDE SHOW 7 Today: waves.
Helioseismic data from Emerging Flux & proto Active Region Simulations
The Subtropical Sea Breeze
Multi-fluid modeling of ion-neutral interactions in the solar chromosphere with ionization and recombination effects.
Atmospheric phase correction for ALMA
Presentation transcript:

Supergranule Scale Convection Simulations Robert Stein, David Benson, Dali Georgobiani Michigan State University, USA Aake Nordlund, Copenhagen University, DK

Supergranulation Simulation 48 Mm wide x 20 Mm deep 65 hours (1.3 turnover time) f-plane rotation (surface shear layer) No magnetic field (yet) Low resolution: 100 km horizontal, 12-70 km vertical

Mean Atmosphere Temperature, Density and Pressure (K) (105 dynes/cm2) (10-7 gm/cm2)

Mean Atmosphere Ionization of He, He I and He II

Surface Shear Layer f-plane rotation latitude of 30 degrees imposed rotation through the coriolis force --- not an imposed profile +/- signs --- directions ???? plot is an hour average --- after how long? -- recent ---> just beginning to study this significant fluctuations -- particularly near the surface extent is larger than observed --- likely due to the viscous flux in the numerical viscosity

Velocity in vertical plane -- 6.5 hr sequence (out of 50 hrs). single slice -- 48Mm by 20 Mm deep downflows merge and swept to sides by the diverging upflows some are merging -- some are getting halted by colliding with upflows in total ---> 46 hours solar -- 1 turnover time --- here 6 hours

vertical velocity on horizontal planes (48 Mm wide) l to r --> top to bottom surface, 2, 4, 8, 12, 16 Mm scale of features gradually (continually) gets larger with depth note: bottom has not relaxed yet no special thing for mesogranulation -- no special thing for supergranulation -- why so apparent is still not clear l to r --> top to bottom :: surface, 2Mm, 4Mm, 8Mm, 12Mm, 16Mm Continuous scale change: granulates -> supergranules

Scan of temperature with depth

Time evolution at various depths

How to calculate the spectrum? Average power spectra (correct) or Average time sequence (incorrect) Noisy Artificial feature,

P-mode power (red), convective power (black) – time average (blue) Note that it matters very much for smoothness how one computes power spectra Hi-res MDI

Velocity spectrum only distinct scale is granulation - - - - convection Vhoriz (sim) …. oscillations Vz(sim) V MDI

Horizontal Velocity Spectrum -200 km 0 Mm 2 Mm 4 Mm 8 Mm 16 Mm

Upflows at surface come from small area at bottom (left) Downflows at surface converge to supergranule boundaries (right) seeded at regular intervals at bottom --- 1 Mm intervals upflows -- most turns over before it gets to the surface most of the upflows diverging -- see them coming back down at the edges of the supergranules color -- just shading -- yellow at bottom and red at top catch basin for the downflows merging of downflows thanks to Chris Henze at NASA Ames

Stream lines seeded at bottom

Wave propagation Courtesy Junwei Zhao

k-w Diagram simulation MDI

Time-Distance Inversions Depth 1-2 Mm Simulation Inversion Time-Distance Inversions Depth 1-2 Mm

Time-Distance Inversions Depth 2-3 Mm Simulation Inversion Time-Distance Inversions Depth 2-3 Mm

Time-Distance Inversions Depth 4-5 Mm Simulation Inversion Time-Distance Inversions Depth 4-5 Mm

Initialization Snapshot Doubled + Stretched = bootstraped initial state Snapshots of methods + composite (?)