Inner Magnetospheric Modeling with the Rice Convection Model - PowerPoint PPT Presentation

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Inner Magnetospheric Modeling with the Rice Convection Model

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Frank Toffoletto, Rice University (with thanks to: Stan Sazykin, Dick Wolf, Bob Spiro, Tom Hill, John Lyon, Mike Wiltberger and Slava Merkin) Outline Motivation ... – PowerPoint PPT presentation

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Title: Inner Magnetospheric Modeling with the Rice Convection Model


1
Inner Magnetospheric Modeling with the Rice
Convection Model
  • Frank Toffoletto, Rice University
  • (with thanks to Stan Sazykin, Dick Wolf, Bob
    Spiro, Tom Hill, John Lyon, Mike Wiltberger and
    Slava Merkin)

2
Outline
  • Motivation
  • Importance of the inner magnetosphere
  • The tool of choice is the Rice Convection Model
    (RCM)
  • Code Descriptions
  • RCM
  • Coupled LFM RCM
  • Physics Examples
  • Issues
  • Discussion and Conclusion

3
Why is the Inner Magnetosphere so important?
  • Basic Physical understanding of plasmaspheric and
    ring-current dynamics.
  • We wont understand ring current injection until
    we understand the associated electric and
    magnetic fields self consistently.
  • Space Weather
  • Many Earth orbiting spacecraft are inner
    magnetosphere.
  • Radiation belts Many space weather effects are
    related to to understanding and predicting highly
    energetic particles.
  • For that we need a model of the electric and
    magnetic fields.
  • The low- and mid-latitude ionosphere Disruptions
    of the mid- and low-latitude ionosphere seem to
    be the most important aspects of space weather at
    present, particularly for the military.
  • Inner magnetospheric electric fields appear to be
    the most unknown element in ionospheric modeling
    of the subauroral ionosphere.

4
What can an Inner magnetospheric model (such as
the RCM) provide?
  • Missing physics Global MHD does not include
    energy dependent particle drifts, which become
    important in the Inner Magnetosphere.
  • An accurate and reasonable representation of the
    Inner Magnetosphere should be able to compute
    both Electric and Magnetic fields.
  • Inputs to ionosphere/thermosphere models, such as
    electric fields and particle information.

5
RCM Modeling Region
  • In the ionosphere, the modeling region includes
    the diffuse auroral oval (the boundary lies in
    the middle of the auroral oval, shifted somewhat
    equatorward from the open-closed field line
    boundary).
  • The modeling region includes the inner/central
    plasma sheet, the ring current, and the
    plasmasphere.
  • Region-2 Field-Aligned currents (FAC) connect
    magnetosphere and ionosphere.

6
RCM Physics Model
  • Three pieces
  • Drift physics Inner magnetospheric hot plasma
    population on closed magnetic field with flow
    speeds much slower than thermal and sonic speeds
    while maintaining isotropic pitch-angle
    distribution function.
  • Ionospheric coupling perpendicular electrical
    currents and electric fields in the
    current-conservation approximation.
  • Field-aligned currents connecting the
    magnetosphere and ionosphere assuming charge
    neutrality.
  • Plasma population and magnetic fields are in
    quasi-static equilibrium

7
RCM Transport Equations
  • Take a distribution function and slice it into
    invariant energy channels
  • For each channel, transport is via an advection
    equation
  • where the equations are in non-conservative form,
    and in the (?,?) parameter space these fluids
    are incompressible
  • Ionospheric grid, where B-field is assumed
    dipolar, Euler potentials can be easily defined
    that are (essentially) colatitude and local-time
    angle.
  • (Equations are solved using the CLAWPAK package)

8
Equation of Magnetosphere-Ionosphere coupling
  • Current conservation equation at ionospheric
    hemispheric shell (assumes BisBin)
  • Vasyliunas Equation (assumes BisBin)
  • Combine two together
  • High-latitude boundary condition Dirichlet
  • Low-latitude boundary condition mixed
    with2nd-order spatial derivatives (simple model
    of equatorial. electrojet)
  • Equatorial plane mapping changes in time, grid
    there is non-orthogonal.
  • Equatorial boundary is a circle of constant MLT.
    Polar boundary does not coincide with a grid line
    and moves in time.

9
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10
Basic RCM Physics
Electrons
Ions
For each species and invariant energy l, h is
conserved along a drift path. Specific Entropy
11
Basic RCM Physics- Electric Fields
Inner magnetospheric electric field shielding
Formation of region-2 field-aligned currents
12
Limitations to the Conventional RCM Approach to
Calculating Inner-Magnetospheric Electric Field
  • The change in magnetic field configuration due to
    a northward or southward turning has a large
    effect on the inner magnetospheric electric
    field.
  • Hilmer-Voigt or Tsyganenko magnetic field models
    cant give a good picture of the time response to
    a turning of the IMF.
  • The potential distribution around the RCMs
    high-L boundary must evolve in a complicated way
    just after a northward or southward turning hits
    the dayside magnetopause.
  • The time changes in the polar-cap potential
    distribution occur simultaneously with the
    changes in magnetic configuration.
  • Magnetic field model is input and not in MHD
    force balance with the RCM computed pressures.
  • A fully coupled MHD/RCM code is an obvious choice
    to address these limitations.

13
Coupled Modeling Scheme
14
Coupled Modeling Scheme
15
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16
Coupling Scheme
LFM
RCM
Coupling exchange time is 1 minute
LFM is nudged by the RCM
17
AsideCoupling approach
  • In order to minimize code changes, we plan to use
    the InterComm library coupling software developed
    by Alan Sussman at the University of Maryland
  • InterComm allows codes to exchange data using
    MPI-like calls
  • It can also handle data exchanges between
    parallel codes
  • For now, the data exchange is done with data and
    lock files
  • The plan is to replace the read/write statements
    with InterComm calls
  • Data is exchanged via a rectilinear intermediate
    grid - this allows for relatively fast and simple
    field line tracing

18
Inner Magnetospheric Shielding
  • The inner edge of the plasma sheet tends to
    shield the inner magnetosphere from the main
    Electric convection field.
  • This is accomplished by the inner edge of the
    plasma sheet coming closer to Earth on the night
    side than on the day side.
  • Causes region-2 currents, which generate a
    dusk-to-dawn E field in the inner magnetosphere.
  • When convection changes suddenly, there is a
    temporary imbalance.
  • For a southward turning, part of the convection
    field penetrates to the inner magnetosphere,
    until the nightside inner edge moves earthward
    enough to re-establish shielding.

19
Example of shielding - Standalone RCM
(RCM Runs courtesy of Stan Sazykin)
20
RCM LFM Run Setup
  • Steady solar wind speed of 400 m/s, particle
    density of 5 /cc
  • Uniform Pederson conductance of 5 Siemens (0 Hall
    conductance)
  • LFM run for 50 minutes without an IMF (from 310
    - 400)
  • IMF turns southward at t 400 hours and
    coupling is started

21
IMF and Cross polar cap potential for RCM LFM run
22
Example of shielding - RCM-LFM run
Region 2 currents
High pVg Blob
23
Example of shielding - RCM-LFM run
Low pVg Channels
24
Example of undershielding - Standalone RCM
25
Example of undershielding - LFM-RCM run
26
Example of Overshielding- RCM-LFM run
27
Example of Overshielding - Standalone RCM
28
Electric fields and pVg
  • RCM -LFM exhibits many of the same
    characteristics as the standalone RCM, albeit
    much noisier
  • Caveat In order achieve reasonable shielding,
    the density coming from the LFM was floored.
    Otherwise the LFM plasma temperature in the run
    becomes very high as the run progresses, which
    effectively destroys shielding.
  • LFM ionospheric electric field is not the same as
    the RCMs, this could be corrected by using a
    unified potential solver.
  • However, the LFM is missing the corotation
    electric field
  • Initially, the LFMs pVg is typically lower than
    empirical estimates, later it becomes higher as
    the x-line moves tailward.

29
Comparisons of Log10(pVg)
LFM
Empirical
Figure courtesy of Xiaoyan Xing and Dick Wolf,
based on Tsyganenko 1996 magnetic field model and
Tsyganenko and Mukai 2003 plasma sheet model.
(IMF BxBy5 nT, Bz -5nT, vsw 400 km/s, nsw5
/cc)
30
Comparisons of Log10(pVg)
LFM
Empirical
Figure courtesy of Xiaoyan Xing and Dick Wolf,
based on Tsyganenko 1996 magnetic field model and
Tsyganenko and Mukai 2003 plasma sheet model.
(IMF BxBy5 nT, Bz -5nT, vsw 400 km/s, nsw5
/cc)
31
Comparisons of Log10(pVg)
LFM
Empirical
Figure courtesy of Xiaoyan Xing and Dick Wolf,
based on Tsyganenko 1996 magnetic field model and
Tsyganenko and Mukai 2003 plasma sheet model.
(IMF BxBy5 nT, Bz -5nT, vsw 400 km/s, nsw5
/cc)
32
Ring Current Injection The effect of the
magnetic field
  • Lemon et al (2004 GRL) used a coupled RCM
    equilibrium code (RCM-E) to model a ring current
    injection.
  • A long period of adiabatic convection causes a
    flow-choking, in which the inner plasma sheet
    contains high-pV?, highly stretched flux tubes.
  • Nothing like an expansion phase or ring-current
    injection occurs.
  • In order to study the inner-magnetospheric
    consequences of a non-adiabatic process, Lemon
    did an RCM-E run which started from a stretched
    configuration, but then moved the nightside RCM
    model boundary in to ?10 RE and reduced the
    boundary-condition value of pV5/3 along this
    boundary within 2 hr of local midnight.
  • The result was rapid injection of a very strong
    ring current. Low content flux tubes filled a
    large part of the inner magnetosphere, forming a
    new ring current.

33
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34
Do we see similar behavior in the coupled RCM LFM?
35
Channels of Low pVg
36
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37
What about the LFM?
  • Should produce a more reasonable representation
    of the inner magnetospheric pressures, densities
    and (hopefully) the magnetic field.
  • Trapped Ring Current
  • The presence of a ring current should encourage
    the formation of Region-2 currents
  • Ideal MHD should produce region-2 currents.
  • It is not clear why the global MHD models do not.
  • (Actually, higher resolution LFM runs show the
    beginnings of region-2 currents.)

38
Pressure comparisons at midnight
(RCM values computed along a constant LT in the
ionosphere and then mapped to the equatorial
plane.)
39
Weak Region-2 currents form in the LFM
40
Effect on the LFM magnetic field
41
Problems
42
High speed flows do not seem to happen in the
standalone LFM
RCM LFM
Standalone LFM
Log of past runs http//rocco.rice.edu/toffo/lfm
/
43
Adding a cold plasmasphere to the RCM did not
help
With plasmasphere
Without plasmasphere
44
Density Fix helps some
With fix
45
Resolution seems to help - but need longer runs
Low resolution
High resolution
(but with no density fix)
46
Summary
  • Coupled code runs
  • From an RCM viewpoint, results dont look
    unreasonable
  • Inner magnetospheric shielding
  • Inner magnetospheric pressures
  • Ring current injection
  • Although LFM computed pVg are low compared to
    empirically computed values

47
Summary - 2
  • From an LFM viewpoint
  • Magnetic field responds, to first order, as one
    would expect
  • Get weak region-2 currents
  • But get spectacular outflows from the inner
    magnetosphere
  • Decoupled from the ionosphere
  • May be a resolution issue, for a given
    resolution, perhaps the code is unable to find
    equilibrium solutions that match computed
    pressures
  • Turning off the coupling results in disappearance
    of the ring current in 15 minutes
  • High speed flows seem to be associated with high
    plasma betas
  • It seems we are pushing the MHD in a way that it
    was not designed for

48
Outlook
  • Ultimately we hope to couple to TING/TIEGCM in a
    3-way mode
  • Ionospheric outflow could also be incorporated
  • A version of the RCM that includes a non-spin
    aligned non-dipolar field is in testing phase

49
Extra Slides
50
RCM Inputs and Assumptions
  • Inputs
  • Magnetic field model
  • Usually an empirical model
  • Initial condition and boundary particle fluxes
  • Usually an empirical model
  • Loss rates and ionospheric conductivities
  • Parameterized empirically-based models
  • Electric field model is computed
    self-consistently
  • Ionosphere is a thin conducting (anisotropic)
    shell
  • Electric field in the ionosphere is potential
  • Assumptions
  • Plasma flows are adiabatic and slow compared to
    thermal speeds.
  • Inertial currents are neglected
  • Magnetic field lines are equipotentials
  • Pitch-angle distribution of magnetospheric
    particles is isotropic
  • The formalism allows the main calculations to be
    done on an 2D ionospheric grid.

51
RCM-MHD comparison
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