INTERNATIONAL
STANDARD
ISO
Approved Work Item No 22009
WORKING DRAFT





Accuracy of the Model and Comparison With Experimental Data


A1. Stationary Case. Comparison with the Large Magnetosphere Magnetic Field Data Base

 

Figure 1: The distribution of discrepancies of magnetospheric field magnetic induction calculated in term of the parabolic model, compared with experimental data. B(sc)\protect ,nT, is the field measured onboard spacecrafts, B(mod)\protect ,nT, is the field calculated in terms of the parabolic model, N is for statistics.

The comparison with the Large Magnetosphere Magnetic Field Data Base (Faierfield et al., Journal of Geophysical Research, V.99, p.11319-11326, 1994) was made. Data base includes data of Explorer 33,35, IMPs 4,5,6,7,8, Heos 1,2 and ISEE 1, 2 in the region between 4 and 60 RE . Calculations of the input parameters of the model were performed using solar wind data, Dst and AL indices which are contained in Data Base. Parameters y,R1,F¥ were calculated in terms of submodels presented in Appendix 1 of Working Draft. Field-aligned currents magnetic field was not taken into account in these calculations as the first step of the model evaluation.

It was supposed
R2=1/cos2jk        Dst < -10nT
R2=0.7R1        Dst > -10nT
br=Dst        Dst < -10nT
br=-10nT        Dst > -10nT,
where jk is the midnight latitude of the equatorward boundary of the auroral oval.

Figure 2: The distribution of the discrepancies of magnetospheric magnetic field calculated in term of the paraboloid model A99, compared with experimental data. In the singled out cell the format of data is shown: B(sc)\protect ,nT, is the measured onboard spacecrafts magnetic field averaged in cells, B(mod)\protect ,nT, is the average field calculated in terms of the paraboloid model, N is for statistics.

Figure 3: The magnetic field module distributions in the different cells of the magnetosphere, measured (solid line) and calculated by paraboloid model A99 (thin line).

Fig.1 and 2 represent this comparison in the form of the distribution of discrepancies. The histogram in Fig.1 shows the distribution of relative discrepancies D=[(B(sc)-B(mod))/B(sc)]·100% integral over the whole experimental material (45181 measurements). The discrepancy mean value is about +3% (the distribution is asymmetric with a long negative "tail"), s of the distribution being of ~ 80% . Fig. 2 presents the distribution of absolute and relative discrepancies differential in x and r, where r = Ö{y2+z2} , x,y,z are the solar-magnetospheric (GSM) coordinates. The weight of each discrepancy value (statistics) is shown in the corresponding cell in x and r. An examination of the Fig.2 shows that near the Earth at distances about the geostationary orbit in the magnetosphere nightside the discrepancy is, on average, 12.3 nT for -10 < x £ 0 and 0 £ r < 10 , and in the magnetosphere dayside it is, on average, 3.4 nT for 0 < x £ 10 and 0 £ r < 10 .

The magnetic field module distributions in the different cells of the magnetosphere, measured and calculated by paraboloid model are represented in the Figure 3. The measured magnetic field has also an own non-Gaussian distribution in each cell. The mean values and discrepancies represented in the Fig. 2 are the measured magnetic field distribution mean values and mean discrepancies between measured and calculated values. The calculated by paraboloid model magnetic field is distributed in a good agreement with observations.

Figure 4: The magnetic field module distributions (measured and calculated by A99) in the near-Earth (x,r) cells (10:0; 0:10), (0:-10; 0:10), (-10:-20; 0:10) of the magnetosphere.

Figure 5: The same as in the Fig. 4 for GSM Bx component of the magnetospheric magnetic field.

Fig.4 represents the distributions in (x, r) cells (10:0; 0:10), (0:-10; 0:10), (-10:-20; 0:10) respectively. The first and second cells demonstrate the regular shifts: the magnetic field in the night side is underestimated and in the dayside is overestimated. Such behavior can be explained by field aligned currents effect which is not taken into account in these calculations. The quite good agreement exists in the third cell.

Fig. 5 represents the same comparison for the GSM Bx component of the magnetic field in the (x, r) cell (-10:-20; 0:10). The distribution depression near the Bx=0 corresponds the measurements which were made in the tail plasma sheet region. The A99 paraboloid model has infinite thin tail current so the Bx values which are near zero are absent.

Figure 6: The same as in the Fig. 3, calculated in terms of A01 and T96 models

Paraboloid model allows flexible taking into account the new magnetospheric magnetic field sources. Moreover, because each magnetospheric magnetic field source with its own screening currents is calculated separately and depends linearly on its own input parameters we can change the parametrization of current systems to match better the data. To take into account the mentioned above effects of field aligned currents and "thin" tail current the new "beta" version of paraboloid model (A01) was developed. The "thin geotail" magnetic field [Alexeev and Bobrovnikov, 1997] and field aligned current magnetic field [Alexeev, Belenkaya and Clauer, 2001] were taken into account. Fig. 6 shows the measured magnetic field module mean values in the different cells of the magnetosphere as well as mean discrepancies between the measured magnetic field and calculated by A01 (second row) and T96 (third row). The more good agreement for A01 is detected in the near-Earth region than that represented in the Figure 2. We can see that in general, the obtained in terms of A01/A99 discrepancies are of the same order as those obtained in the framework of T96 model [Tsyganenko, 1995].

*12cm!

Figure 7: The magnetic field module distributions over the whole statistics in the different cells in the Earth's magnetosphere, measured and calculated by A01 model.

Figure 8: The same as in the fig. 4 for magnetic field module calculated by A01 model.

Figure 9: The same as in the fig. 8 for Bx component of the magnetospheric magnetic field.

The magnetic field module distributions in the different cells of the magnetosphere, measured and calculated by paraboloid model are represented in the Figure 7. The magnetic field distributions measured in the near-Earth's cells represented in the Figures 8 (magnetic field module) and 9 (Bx component). The distributions of the magnetic field calculated for the different parametrizations of the tail current and field aligned currents demonstrate the more good agreement with experimental data than that obtained in the framework of A99 paraboloid model.

The results represented on the Fig. 6 shows that paraboloid model, analytical and based on the small number of the input parameters, describes the large array of experimental data with approximately the same accuracy as the T96 model, which constructed as approximation of that array by the chosen by author functions with the chosen number of parameters. Fig. 10 represents the distributions of measured and calculated by A99 and T96 models magnetic fields (module and Bx component, respectively).

Figure 10: The same as in the fig. 8 for Bx component of the magnetospheric magnetic field.

In the Table 1 the comparison of magnetic field calculated by paraboloid model (A99) Tsyganenko model (T96) and measured magnetic field from Large Magnetosphere Magnetic Field Data Base averaged by the levels of disturbances is presented. We can see that only for very quite conditions T96 model gives the better results than A99. For Kp between 1- and 2- the results are comparable, but for disturbed conditions ( Kp > 2 ) A99 gives the better results than T96. The T96 (as the earlier Tsyganenko models) was constructed using the minimization of the deviation from a data set of the magnetospheric magnetic field measurements gathered by several spacecrafts during many years. The disturbed periods are relatively rare events during the observation time, so their influence on the model coefficients is negligibly small. That is why the T96 model's applicability is limited by Dst,BzIMF, and the solar wind dynamic pressure low values.


Kp A99 T96 Data
0,0+ 13.8 14.9 15.5
1-,1 16.9 16.3 17.6
1+,2- 18.3 18.6 20.3
2,2+ 21.6 20.6 22.6
3-,3,3+ 25.3 24.1 26.3
4-,4,4+ 30.0 28.1 31.3
5-,5 34.8 33.4 35.4

Table 1: Comparison of magnetic field calculated by paraboloid model (A99) Tsyganenko model (T96) and measured magnetic field from Large Magnetosphere Magnetic Field Data Base averaged by the levels of disturbances.


Acknowledgments.     The authors thank N. Tsyganenko NASA GSFC for the magnetosphere magnetic field database.



References

Alexeev, I. I., Regular magnetic field in the Earth's magnetosphere, Geomagn. Aeron., Engl. Transl., 18, 447, 1978.

Alexeev, I. I., E. S. Belenkaya, and C. R. Clauer, A model of region 1 field-aligned currents dependent on ionospheric conductivity and solar wind parameters, J. Geophys. Res., 105, 21,119, 2000.

Alexeev, I. I., and S. Y. Bobrovnikov, Tail current sheet dynamics during substorm (in Russian), Geomagn. Aeron., 37, 5, 24, 1997.

Faierfield et al., A large magnetosphere magnetic field database, J. Geophys. Res., 99, 11,319, 1994.

Reeves et al., The relativistic electron response at geosynchronous orbit during the January 1997 magnetic storm, J. Geophys. Res., 103, 17,559, 1998.

Tsyganenko, N.A., Modeling the Earth's magnetospheric magnetic field confined within a realistic magnetopause, J. Geophys. Res., 100, 5599, 1995.

Turner, N. E., D. N. Baker, T. I. Pulkkinen, and R. L. McPherron, Evaluation of the tail current contribution to Dst, J. Geophys. Res., 105, 5431, 2000.


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