4 Year Inner Magnetosphere/Storms Campaign - 1st Draft Strategy |
Key Unanswered
Questions |
Needed Knowledge/
Modeling Tools |
Suggested Strategies |
Global Issues |
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How do the highly-structured and temporarlly-varying electric fields in the inner magnetosphere impact ring current development, thermal plasma heating and structuring, radiation belt dynamics and overall magnetic storm development? |
Need physical models of the electrodynamics of the IM driven by (and tested against) data to explore how the large-scale E field is established.
Need parameterized semi-empirical models that have been tested against physical models and data.
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Data Analysis:
Studies using particles as tracers
Studies of the temporally-varying potentials derived from ENA maps
Studies of patterns derived by mapping of observed ionospheric E fields
Studies of CRRES electric field data in the IM
Comparison with plasma flow measured at geosynchronous orbit
Modelling Studies:
Comparison of RCM runs with data
Parameterized electric field model development & testing
Event studies and test runs of other physical models with all available electric field models & comparison with data
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What are the key elements that distinguish storms (e.g., solar max versus solar min, CME vs. high-speed-stream driven, severe vs. minor in intensity)? How do preconditioning and initial state (non-linearity effects) figure into this? |
Improved representations of electric and magnetic fields, the low-altitude portion of the geocorona, composition, density & temperature variations in IM plasma source populations, etc. |
Comparison of carefully selected event studies representative of these types of storm events.
Statistical studies
Parametric modeling studies.
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What are the details of the global energy balance during storms? What portion of the energy is available to the IM? What is the nature of the coupling between storms and substorms? How does the energy balance vary among storms with different characteristics, different drivers, etc.? |
Better understanding of
- the physical meaning of the Dst index and local time asymmetries in the disturbance magnetic field
- how effective are predictive functions based on upstream solar wind conditions at representing the true energy balance?
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Comparative event studies (same as above)
MHD model estimates of the energy input for selected solar wind conditions or events
Comparison of outputs of physical models with predictive functions based on upstream solar wind inputs.
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How does the composition of IM source populations and the variability in this composition impact the storm development and recovery? |
How do we define and model in a time-dependent fashion:
SW, ionospheric, & plasmaspheric (?) sources for the near-Earth plasmasheet?
ionospheric plasma directly injected into the IM?
direct effects on the IM of the auroral zone when it moves to low L during storms?
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Coordinate activities in this area with the Magnetosphere-Ionosphere Coupling Campaign
Model the temporal changes in the composition of the inner plasma sheet using a parameterized ionospheric outflow lower BC (based on DE data) as input to a two-fluid (H+ and O+) MHD model. Use as outer BC for IM models
Further statistical and event studies of s/c observations (particularly useful would be analysis of low energy ion data from CRRES, POLAR, FREJA, AKEBONO for evidence of ionospheric injections directly into the IM)
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Ring Current Issues |
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What are the important ring current formation and loss processes? How do they vary between storms with different characteristics? What is the contribution of the electron ring current? |
Modeling & investigation
non-adiabatic effects on RC particles due to B field distortions
wave-particle interactions
effects of compressions
quantifying & understanding precipitation losses
understanding mechanisms that produce variations in the source population
electric and magnetic field models
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ENA measurements to follow global decay for selected events.
Statistical studies and event analysis of IM precipitation during storms
RC model tests of proposed convection field models, convection + induction field models
Event studies of WPI where detailed wave and particle distributions are available
Statistical studies of wave observations in the IM
Observational studies of ion losses at the magnetopause (esp., during compressions)
Event and statistical studies investigating the impacts of variations in the source
population
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Radiation Belt Issues |
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What are the sources, losses, acceleration and energization mechanisms that are responsible for the build-up and decay of the radiation belts? What are the solar wind drivers? |
Need to identify
source populations and their origins
waves responsible for diffusion
temporal variations in the diffusion coefficients (DLL, Daa, DEE, etc.)
effects of magnetopause losses
Need better electric and magnetic field models, thermal plasma models |
Observational tests of specific theories
Statistical studies of waves during RB formation
Studies of RB pitch angle distributions to test acceleration theories
Statistical studies to identify source distributions using space phase density
Observational studies of losses at compressed magnetopause (statistical and event)
Ion composition/charge state studies to investigate entry of SW or ionospheric ions
Event studies involving the measurement and modeling of the plasmapause profile relative to the RB location (possible unappreciated coupling)
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Thermal Plasma Issues |
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How do electrodynamic and energetic processes, operating on the thermal plasma in the IM, produce the observed structuring in temperature and density? ... how does this structuring impact coupling processes to the higher energy plasma? ... how does it impact storm development? ... the non-linearity of storms? ... what is the role of superthermal distributions in redistributing energy? |
Need to understand
- erosion,
- drainage plumes,
- where plasmaspheric plasma goes after encountering the magnetopause,
- impact of thermal temperature and structure on wave generation, propagation and damping,
- transfer of energy from the RC to the thermal plasma and its variability,
- effects of SAIDs,
- how superthermal distributions move energy through the system, etc.
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GPS observations to define the temporal behavior of the thermal plasma for selected events
ULF ground observations combined with other data to track the thermal plasma structure (due to erosion, refilling, substorm fields, ionospheric electric fields, etc.) during selected storm events
Coordinated campaigns involving multiple s/c & ULF studies of plasmaspheric structure combined with ground-based observations of the ionospheric electric field and models
Event studies to examine the coupling between the thermal structure and RC/RB dynamics
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