Questions for Working Group 4:
Forecasting Magnetic Storms
Probabilistic Methods
Geometric properties of magnetic storms
- How do
we define the occurrence of a magnetic storm?
- How
does the probability of observing a magnetic storm change with season
regardless of phase of solar cycle?
- How
does the probability of observing a magnetic storm change with solar cycle
regardless of season?
- What
is the joint dependence of magnetic storm occurrence on both season and
solar cycle?
- What
is the probability of observing a magnetic storm as a function of strength
and location of solar flares?
- What
is the probability as a function of halo CMEs?
- What
is the probability as a function of observing solar proton events?
- Are
some solar cycles more likely to have geoeffective
IMF
Relation to CIRs
- How
does the CDF for Dst (Sym-H) change with time
relative to CIR?
- How
does this time dependent CDF change with B and V in solar wind?
Relation to CMEs
- Is
there a “typical” CME magnetic storm profile in Dst?
- Do solar limb CMEs ever cause
storms?
- What
is the CDF of Dst for all halo CMEs?
- Is
there an observable property of halo CMEs that
correlates with the associated CDF of Dst? (e.g. initial velocity at Sun)
- For CMEs with shocks how do the CDFs
for sheath and flux rope (bubble) compare?
Deterministic Methods
- What
features of the Temerin-Li (TI) forecasting
algorithm make it so effective?
- Does
this algorithm really do as well for large events as it does for all data?
- What
are the physical implications of the 34 terms in the TI algorithm?
- Can a
simpler algorithm do nearly as well as TI?
- How
well would small but adaptive ARMA filters do in the prediction?
- How
can we model the two phase recovery of most storms?
- Does
the Chapman-Ferraro correction change with intensity of storms as
suggested by Siscoe?
- Why is
there no evidence of polar cap potential saturation in the relation of the
rate of ring current injection to solar wind electric field?
- What
is the relative importance of the Russell-McPherron effect (tilt of dipole
orthogonal to Earth-Sun line relative to solar equator) as compared to the
equinoctial effect (tilt of the dipole in GSM x-z plane relative to the
Earth-Sun line)?
- Does
magnetospheric coupling depend on solar wind dynamic pressure, density, Alfven Mach number? Such dependence could greatly
change the amount of energy input to the magnetosphere and hence the
strength of Dst in particular storms?
- Can
the polar cap index (or its raw data) be used to infer the solar wind
input to the magnetosphere?
General Questions the group might consider
- Who
cares if we do a good job of forecasting Dst 30 minutes in advance?
- Why is
the ring current so asymmetric during the storm main phase?
- Is
there ever a storm main phase without substorms?
- What
causes the two-stage storm recovery?
My emphasis on CDF is because they provide a means for
specifying the probability that a measure of activity will exceed a specific
value of the measure. Probabilistic forecasting is based on the idea that
various properties of the solar wind are determined by the location of the
measurement relative to some fiducial time in the
wind such as a shock, flux rope, CIR, etc. As a consequence of such
organization the coupling of the solar wind to the Earth is changed in a
systematic manner and we can expect measures of internal activity to also be
organized by the fiducial time. The goal then becomes
the identification of control parameters in the solar wind and the
determination of means of remote sensing these parameters.