Transcript Slide 1

Evaluating the Diffusive Equilibrium
Models: Comparison with the IMAGE
RPI Field-aligned Electron Density
Measurements
Introduction
Pavel Ozhogin, Paul Song, Jiannan Tu,
and Bodo W. Reinisch
Center for Atmospheric Research,
University of Massachusetts Lowell, MA 01854
Variations of Diffusive Equilibrium Models
Since it was proposed by Angerami and Thomas in
1964, the diffusive equilibrium model and its
variations have been extensively used by the
scientific community to determine the plasma
densities in the Earth’s plasmasphere, particularly
for ray tracing of wave propagation and wave
particle interaction. However, up until the IMAGE
mission in 2000, all the measurements, by which
these models could be evaluated, were made either
in situ or from ground whistler wave measurements.
As a result, they could not provide independent
validation of the field-aligned distribution of plasma.
The data from the Radio Plasma Imager (RPI)
instrument onboard the IMAGE satellite allowed us
to determine almost instantaneous plasma
density distribution along a magnetic field line
[Huang et al., 2003]. Using more than 700
measurements obtained between June 2000 and
July 2005, we developed an empirical model (RPI
model) of the plasmaspheric densities, which
determined the electron density as a function of
L-shell and magnetic latitude [Ozhogin et al.,
2012]:
N ( L,  )  Neq( L)  cos
0.75
2-D Density Distributions
Parameter
DE-1
DE-2
DE-S2
DE-B / DE-B*
RB (km)
500
1000
1180
1000
TDE (K)
1000
1000
1700
1600
NB (cm-3)
34600
10000
7645
3100
H+ (%)
0.2
15.2
40
8
He+ (%)
1.9
82.3
30
2
O+ (%)
97.9
2.5
30
90
AGU Fall 2012
San Francisco, CA, USA
3-7 December 2012
SM41C-2228
Model Differences
The parameters of different diffusive equilibrium models vary significantly.
We have selected 4 different models from very recent and rather dated
papers, which have used these models in the ray tracing codes. DE-1 and
DE-2 come from Kimura (1966), DE-S2 from Sonwalkar et al. (2011), DE-B
is used by Bortnik et al. (2011) and, except, for different value of NB by
Inan and Bell (1977). DE-B* is not a diffusive equilibrium model, but an
adaptation with additional 6 parameters to modify the plasmaspheric
density; for a full description see Bortnik et al. (2011).
Equatorial Densities
The main advantage of measurements from RPI is the ability to obtain almost instantaneous
plasma density distribution along the magnetic field line. When there are several
measurements obtained along a segment of the orbit, we can construct and study 2-D density
distribution. 6 measurements on February, 24th 2005 were obtained to create a 2-D plot
displayed on panel (a). The variation of equation (1) from Ozhogin et al., (2012) was used to
derive the 4 coefficients through the least squares fit of the model to multiple field-aligned
density profiles (relative error less than 8%). This 2-D distribution is best represented by the
average RPI model [panel (b)]. The DE-B* model [panel (c)] produces slightly lower densities
that decrease more slowly with radial distance than the measurements. The field-aligned
distribution is somewhat different, but it qualitatively consistent with the data. The diffusive
equilibrium models are unable to reproduce the data [panels (d-e)].
  
 

 2 INV 
Errors
( 4.46930.4903L )
Neq( L)  10
Diffusive Equilibrium Model
In addition to the 7(!) original assumptions of
Angerami
and
Thomas
(1964),
the
later
implementations added more assumptions:
• no centrifugal force (geopotential height G is
independent of latitude)
The main dependence of equatorial densities in plasmasphere is on Lshell. By comparing the 700 of equatorial density values with the models we
can see that none of the diffusive equilibrium models can reproduce the
falloff of densities with L-shell, except for the modified version of DE-B* in
which the additional 6 parameters that created this modification were
selected such that it reproduces the equatorial model of Carpenter and
Anderson (1992) and is rather close to the RPI measured values beyond
L=3. Densities from DE-S2 are close to the data within L=3, while DE-B, DE1, and DE-2 extremely underestimate.
Conclusions
• None of the diffusive equilibrium models are able to reproduce the L-shell dependence of
density in equatorial plane. Nor do they have the variation of density with L-shell/magnetic
latitude for a fixed geocentric distance. As a result, the overall performance is unreliable: even
for best set of parameters (DE-S2) the average errors of <0.25 are achieved only for less than
one third of the cases.
• Modified model (DE-B*) improves the overall behavior and results in errors that are
comparable with those of the empirical (RPI) model.
• However, the number of free parameters doubles to 12, while original parameters loose their
physical meaning .
• Even the “best-fit” modification of DE-B* shows 40% difference at high latitudes.
This leads to the following equation for the
electron densities:
N e  N B N DE , where:
3
 exp(G / H ) ,
i 1
i
i
G  RB (1  RB / R),
k BTDE
Hi 
.
mi g ( RB )
NB and ηi – reference electron density and ion
composition at the base of diffusive equilibrium
model RB; i=1, 2, 3 for H+, He+, O+; TDE –
temperature; Hi – scale height. We omit the lower
ionosphere and plasmapause terms, since we only
compare with plasmaspheric data in this study.
In
contrast,
the
intrinsic
variation in the data, which
appears as the errors of RPI
model, is <0.25 for almost 45%
of the cases. The DE-B* model
performs slightly below the RPI
model.
Off-equator densities distribution
• ion/electron temperatures are equal to each other,
and are constant
N DE 
All of the diffusive equilibrium
models (except for the modified
version DE-B*) produce average
errors of <0.25 for less than a
third of the cases.
References
One of the principal differences between diffusive equilibrium models and
measured data is the dependence of densities on L-shell and magnetic
latitude for a fixed geocentric distance R. Here we compare the models to
the measurements along the R=2.5 RE line within ±38° magnetic latitude
(within the L=4 shell). Since all of them (except for DE-B*) depend only on R
and not L-shell or magnetic latitude, the resulting disagreement of data and
models is very evident. The DE-B* model performs better than the diffusive
equilibrium models. Diamonds indicate binned averages of the RPI
measurements.
Angerami, J.J. and Thomas, J.O. (1964), Studies of planetary atmospheres, 1. The distribution of electrons and ions in the
earth's exosphere, J. Geophys. Res., 69, 4537-60
Bortnik, J., L. Chen, W. Li, R. M. Thorne, and R. B. Horne (2011), Modeling the evolution of chorus waves into plasmaspheric
hiss, J. Geophys. Res., 116, A08221
Huang, X., B. W. Reinisch, P. Song, P. Nsumei, J. L. Green, and D. L. Gallagher (2004), Developing an empirical density model
of the plasmasphere using IMAGE/RPI observations, Adv. Space Res., 33, 829-832
Inan, U. S., and T. F. Bell (1977), The Plasmapause as a VLF Wave Guide, J. Geophys. Res., 82(19), 2819–2827
Kimura, I. (1966), Effects of ions on whistler-mode ray tracing, Radio Sci., 1, 269–283
Ozhogin, P., J. Tu, P. Song, and B. W. Reinisch (2012), Field-aligned distribution of the plasmaspheric electron density: An
empirical model derived from the IMAGE RPI measurements, J. Geophys. Res., 117, A06225
Sonwalkar, V. S., A. Reddy, and D. L. Carpenter (2011), Magnetospherically reflected, specularly reflected, and backscattered
whistler mode radio-sounder echoes observed on the IMAGE satellite (Part 2), J. Geophys. Res., 116, A11211
Acknowledgements
This work was supported by the NSF grants ATM-0902965 and AGS-0903777 to the University of Massachusetts Lowell.
Product ID for RPI plasmagram data is http://spase.info/VWO/DisplayData/IMAGE/RPI/IMAGE_RPI_PNG_PGM_PT5M