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Simulations of Solar Convection Zone

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Simulations of Solar Convection Zone Nagi N. Mansour Goals Provide numerical simulation models for interpretation of SDO data Develop understanding of physical ... – PowerPoint PPT presentation

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Title: Simulations of Solar Convection Zone


1
Simulations of Solar Convection Zone
  • Nagi N. Mansour

2
Goals
  • Provide numerical simulation models for
    interpretation of SDO data
  • Develop understanding of physical mechanisms in
    the convection zone and links to the atmosphere
  • Provide simulation data for testing and
    developing data analyses tools

3
Targets
  • Solar turbulent convection
  • Tachocline
  • Upper convective boundary layer
  • Supergranulation
  • Granulation and wave excitation
  • Wave propagation
  • Magnetoconvection

4
HMI Science Analysis Plan
Data Product
Processing
HMI Data
Science Objective
Tachocline
Global Helioseismology Processing
Internal rotation O(r,T) (0ltrltR)
Meridional Circulation
Filtergrams
Internal sound speed, cs(r,T) (0ltrltR)
Differential Rotation
Near-Surface Shear Layer
Full-disk velocity, v(r,T,F), And sound speed,
cs(r,T,F), Maps (0-30Mm)
Local Helioseismology Processing
Activity Complexes
Active Regions
Carrington synoptic v and cs maps (0-30Mm)
Sunspots
Irradiance Variations
High-resolution v and cs maps (0-30Mm)
Observables
Magnetic Shear
Deep-focus v and cs maps (0-200Mm)
Flare Magnetic Configuration
Flux Emergence
Far-side activity index
Magnetic Carpet
Line-of-Sight Magnetic Field Maps
Coronal energetics
Large-scale Coronal Fields
Vector Magnetic Field Maps
Solar Wind
Coronal magnetic Field Extrapolations
Far-side Activity Evolution
Predicting A-R Emergence
Coronal and Solar wind models
IMF Bs Events
Version 1.0w
Brightness Images
5
Approach
  • Large-scale 3D simulations
  • Fully compressible MHD equations
  • Inelastic approximation
  • Realistic thermodynamics
  • Radiative energy transport
  • Data assimilation and Inverse Modeling

6
Tools
  • Fully compressible MHD equations
  • Three-Dimensional code (TVD scheme) with
    realistic equation of state (S. Ustyugov)
  • High order finite difference LES code with MHD,
    real gas, radiation and subgrid scale models (A.
    Wray)
  • Initiated contact with R. Stein (MSU)

7
Tools
  • Inelastic approximation
  • Slab geometry with SGS model (M. Kirkpatrick)
  • Initiated collaboration with
  • Colorado Research Ass./UC Boulder/Stanford U./ARC
  • Spherical CodeLES

8
Resources
  • NASA Supercomputing facility
  • SGI 1,024-processor Origin 3000
  • SGI 512-processor Origin 3000
  • SGI 256-processor Origin
  • 32-processor Cray SV1e
  • SGI and Sun workstations
  • 600 terabytes online/nearline data storage
  • Stanford SDO/HMI group

9
Development plan
  • Compressible MHD
  • Implement SGS and radiation models into the
    Stein/Nordland code
  • Data Assimilation
  • Name the Code and make it available as a
    Community code under CCMC (Community Coordinated
    Modeling Center)

10
Development plan
  • Inelastic Code
  • (ASH HYPE) SGS
  • Data Assimilation
  • Make codes available under CCMC

11
Development plan
  • Using data to develop understanding/models
  • Inverse Modeling

?
UiUj
12
Collaborations
  • Sasha Kosovichev (SDO/HMI) GURU
  • Center for Turbulence Research
  • Alan Wray
  • Michael Rogers
  • Sergey Ustyugov
  • Robert Stein (MSU)
  • Colorado Research Ass.
  • M. Miesch
  • J. Werne
  • T. Lund
  • K. Julien ( U. Colorado Boulder)

13
Requirements
  • Support for the scientific teams
  • CS under full cost accounting
  • University/Industry science
  • Support of High-End Computing by NASA
  • Compute cycles
  • Formulate IT requirements
  • Grid
  • Viz. tools
  • Analyses tools
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