Numerical modeling of the global ionospheric effects of storm sequence on September 9–14, 2005—comparison with IRI model
© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB 2012
Received: 31 May 2010
Accepted: 27 June 2011
Published: 27 July 2012
This study presents the modeling of ionospheric response to geomagnetic storms of September 9–14, 2005. We examine the performance of the Global Self-Consistent Model of Thermosphere, Ionosphere and Protonosphere (GSM TIP) and International Reference Ionosphere-2000 (IRI-2000), and compare the modeling predictions with the ionosonde and incoherent scatter radar observations over Yakutsk, Irkutsk, Millstone Hill and Arecibo stations. IRI-2000 predicted well all negative foF2 disturbances. In comparison with IRI-2000, the GSM TIP better reproduced the positive phase observed during the disturbed times. We discuss the possible reasons of the differences between the GSM TIP model calculations, IRI predictions, and the observations.
Key wordsIonospheric storm foF2 disturbances thermospheric wind neutral atmosphere composition electric field numerical modeling IRI model
A large number of studies were devoted to modeling of the ionospheric effects of geomagnetic storms (see, e.g., a review by Buonsanto (1999) and references in Klimenko et al. (2011)). The use of numerical modeling for the description of the ionospheric behavior during geomagnetic disturbances allows investigation of the physical mechanisms responsible for the ionospheric disturbances. In this paper, we discuss the role of each possible mechanism of ionospheric disturbance during geomagnetic storms. A physical mechanism for positive ionospheric storms has recently been suggested by (Balan et al. 2009, 2010). Note that (Balan et al. 2009, 2010) used empirical models of the thermospheric parameters and the measured electric fields as input parameters for their ionospheric model. Such an approach takes into account the influence of the thermospheric parameters and electric field on the behavior of ionospheric parameters.
However, such study does not consider the inverse effect (i.e., the ionospheric influence on the thermospheric parameters and on the electric field), which in some cases may be very important. The magnetospheric processes act to produce a number of interesting ionospheric features, including electron and ion temperature hot spots, large-scale plasma blobs, extended tongues of ionization, ionization troughs and peaks, and super plasma fountain. These ionospheric features then affect the thermospheric structure, circulation, and composition owing to ion-neutral momentum and energy coupling, and these changes, in turn, affect the ionosphere (Schunk, 1990). However, the impact of the ionosphere on the neutral density and wind structures is not well understood. A fully self-consistent thermosphere-ionosphere-electrodynamics model is required for a comprehensive understanding and modeling capability of the impact of the ionosphere on neutral density and wind structures (Forbes, 2007). The simulation results (Maruyama et al., 2003) suggested that ion drag parallel to the field lines, in the vicinity of a pronounced equatorial ionization anomaly, has a significant impact on the latitudinal structure of the equatorial neutral wind and on the temperature structure. Fully self-consistent thermosphere-ionosphere-electrodynamics models were used recently (e.g., Lu et al., 2008; Klimenko et al., 2011) for understanding of formation mechanisms of ionospheric disturbances during geomagnetic storms.
In parallel to physics-based models investigating the ionospheric effects of geomagnetic storms, empirical models have been developed. The well-known International Reference Ionosphere model (IRI-2000) (Bilitza, 2001, 2003) contains a geomagnetic activity dependence based on an empirical storm-time ionospheric correction model. In the present paper we examine both the Global Self-Consistent Model of the Thermosphere, Ionosphere, Protonosphere (GSM TIP) (Namgaladze et al., 1988, 1991) calculations and the IRI-2000 predictions of the ionospheric effects of the September 9–14, 2005 geomagnetic storm sequence by comparison with experimental data at different latitudes and longitudes. For this purpose we have selected the ionosonde and Incoherent Scatter Radar (ISR) (where available) observations at Yakutsk, Russia (62.0°N, 129.4°E; geomagnetic coordinates 51.1°, 194.2°), Irkutsk, Russia (52.2°N, 104.2°E; geomagnetic coordinates 40.9°, 175.1°), Millstone Hill, U.S.A. (42.6°N, 71.5°W; geomagnetic coordinates 54.0°, 357.9°), and Arecibo, Puerto Rico (18.3°N, 66.8°W; geomagnetic coordinates 29.7°, 3.3°).
2. Basic Physical Mechanisms of Ionospheric Disturbances
It is well known that the primary formation mechanisms of ionospheric disturbances are due to the variations in the electric fields and in the thermospheric parameters. According to the pioneering work by Mayr and Volland (1973), the middle latitude positive ionospheric disturbances are formed by the meridional component of the thermospheric wind, and the negative disturbances are due to the thermosphere composition variations.
It is also known (Rishbeth and Garriott, 1969) that the occurrence of the additional eastward (westward) electric field leads to the additional electromagnetic drift directed to pole and upward (to equator and downward) in the plane of the geomagnetic meridian, and to the plasma transport upward (downward) to the larger (lower) heights into the region of smaller (larger) rates of chemical losses that lead to the positive (negative) effects in the ionospheric F-region electron density.
The appearance of the additional meridional electric field leads to the zonal electromagnetic plasma drift. A poleward electric field leads to a westward plasma drift, and an equa-torward electric field causes a eastward plasma drift. The zonal E × B drift leads to a change in the electron density in the F-region of the ionosphere only in locations with longitudinal gradients in the electron density (Klimenko and Namgaladze, 1980). The magnitude of effects in the electron density will depend on the magnitude of these gradients. The most significant effect of the meridional electric field is expected near the solar terminator.
Since the F-region plasma is magnetized it can move across geomagnetic field lines only under the action of an electric field, the effects of which are considered above. Because of the inclination of geomagnetic field to the Earth’s surface the meridional component of thermospheric wind can move the plasma due to ion-neutral collisions, transporting it upwards (downwards) along geomagnetic field lines into the regions of lower (larger) chemical loss rates in ion-molecular reactions and leading to the growth (decrease) in electron density (Rishbeth and Garriott, 1969).
As the atomic oxygen is the primary source of ionization at F-region heights, and the molecular nitrogen is the primary source of recombination, the change of the n (O)/n (N2) ratio controls the electron density. The growth (reduction) of this ratio leads to the positive (negative) disturbances in electron density at heights of the ionospheric F-region (Rishbeth and Garriott, 1969).
Recent modeling results have shown that the additional eastward electric field such as prompt penetration on its own is unlikely to cause positive ionospheric storms (e.g., Balan et al., 2009). According to the mechanism suggested by Balan et al. (2010), an equatorward neutral wind is required to produce positive ionospheric storms. The mechanical effects of the wind are: (1) to reduce (or stop) the downward diffusion of plasma along the geomagnetic field lines; (2) to raise the ionosphere to higher altitudes with reduced chemical loss; and hence accumulate the plasma at altitudes near and above the ionospheric peak centered at around ±30° magnetic latitudes. Daytime eastward prompt penetration electric fields, if they occur, also shift the Equatorial Ionization Anomaly (EIA) crests to higher than normal latitudes. The difference between the earlier and recent modelling is in latitudinal coverage: the earlier modelling (e.g., Buonsanto, 1999) considered the effects at high- and mid-latitudes alone, while Balan et al. (2009) considered low-and mid-latitudes.
3. Description of the Modeled Event and Statement of the Problem
We use the observations from the ionosondes at Irkutsk and Yakutsk and the ISRs at Millstone Hill and Arecibo. All ionosonde ionogram data have been manually scaled using an interactive ionogram scaling software, SAO Explorer (Khmyrov et al., 2008; Reinisch and Galkin, 2011). In experimental data, we use the diurnal variation on 8 September 2005 as a quiet-time reference (quiet day) for the ISR observations and the monthly median diurnal variation in the case of the ionosonde data.
The majority of numerical modeling studies of the ionosphere’s response to geomagnetic storms consider the role of the cross-polar cap potential difference. In addition, models need to include the changes of energy and particle flux of high-energy particle precipitation and the spatial-temporal variations of the Region 2 field-aligned currents (R2 FAC) (Maruyama et al., 2005; Klimenko and Klimenko, 2009). The inclusion of such inputs in global numerical models allows a more accurate description of the Joule heating, effects of penetration of magnetospheric convection electric field to lower latitudes, the overshielding effects, and the effects of the disturbance dynamo electric field. The GSM TIP model (Namgaladze et al., 1988, 1991) with a modified block for the calculation of the electric fields of dynamo and magnetospheric origin (Klimenko et al., 2006,2007) allows modeling studies with all the drivers described above. The comparison of GSM TIP model calculations for different ionospheric parameters with the observational data at different mid-latitude locations for the period of 8–14 September 2005, presented in earlier studies by Klimenko et al. (2011), has revealed the qualitative agreement. The current investigation focuses on the GSM TIP and IRI model comparison at different longitudes during these geomagnetic storms.
The model run presented here is the same as the one described in detail by Klimenko et al. (2011). The GSM TIP simulation uses as initial condition the values of ionospheric parameters at 06:00 UT on September 9, 2005, obtained for quiet geomagnetic conditions (Kp = 0.7). To calculate the quiet-time behavior of ionospheric parameters, we varied only the F10.7 index, while the value of the Kp−index remained fixed at the level of 0.7. For quiet conditions, the cross-polar cap potential difference Δ Φ was set equal to 35.7 kV at geomagnetic latitudes ±75°, and R2 FAC, j2, were set equal to 3 × 10−8 A/m2 at geomagnetic latitudes ±70°. We are setting the maximum and minimum of electric potential rather than potential difference in the latitudinal circles of ±75°. The distribution of electric potential is defined in such manner that the electric field in the polar cap was directed from dawn to dusk. To be precise, on the dawn side it was set to 17.85 kV, and at the dusk side to −17.85 kV. The electric potential at the latitudinal circle ±75° varies like a sine function. The zeros of this sine function occur on the day and night sides.
In the GSM TIP storm time calculations, several input parameters such as cross-polar cap potential difference, R2 FAC, and auroral particle precipitations varied as a function of the Kp−index. The cross-polar cap potential difference was set according to the relation Δ Φ = 26.4 + 13.3 × Kp (kV) (Feshchenko and Maltsev, 2003) at geomagnetic latitudes ±75°. Using the morphological results of Iijima and Potemra (1976) and Kikuchi et al. (2008) we have constructed the empirical dependences of R2 FAC amplitudes from the Kp−index during geomagnetic storms: j2 = 2.78 × 10−8 +0.32 × 10−8 × Kp (A/m2). We also have included the 30 min time delay of R2 FAC variations with respect to the variations of the cross-polar cap potential difference during the storm (Kikuchi et al., 2008). The flux of precipitating auroral electrons is increased and their spectrum becomes harder with growth of geomagnetic activity. The ratio of the precipitating particles fluxes under the storm and quiet time conditions varied as FluxStorm/FluxQuiet = 0.55+0.64×Kp.
The GSM TIP model also accounts for the changes in the position of the R2 FAC and high-energy particle precipitation during disturbed conditions. We varied the geomagnetic latitudes of the R2 FAC maximum depending on the changes of a cross-polar cap potential difference: 1) ±70° at Kp ≤ 3; 2) ±65° at 3 < Kp ≤ 6; 3) ±60° at 6 < Kp according to the conclusions of Sojka et al. (1994). We also introduced the shift of the storm-time precipitation maximum from the local midnight sector into the local morning sector, and the 30 min delay between the particle precipitation and the changes of cross-polar cap potential difference.
The changes of the polar cap sizes and positions were not taken into account in the GSM TIP model since their inclusion requires development of an absolutely new model. This is related to the tilted dipole approximation of the Earth’s magnetic field in the GSM TIP model. Geomagnetic field lines in the polar caps are assumed open, while other geomagnetic field lines are closed. The integration of modeling equations for the thermal plasma of the F-region ionosphere and plasmasphere in the GSM TIP model is performed along geomagnetic field lines. For the development of the GSM TIP model the grid of the geomagnetic field lines has been kept fixed. Displacement of the equatorial boundary of the polar cap to the equator should automatically lead to the expansion of the open geomagnetic field lines. The modeling equations solution on open field lines must be consistent with the boundary conditions, describing the regime of the continual escape of thermal plasma (polar wind). The model does not provide the replacement of closed field lines by the open field lines due to the chosen fixed grid. Errors associated with the use of fixed polar cap sizes exist and are not easy to quantify. However, we expect these errors to be not substantial.
4. Modeled Results and Observations
The two bottom rows in Fig. 3 show the foF2 variations above the stations of the North-American longitudinal chain (Millstone Hill (42.6N, 71.5W) and Arecibo (18.3N, 66.8W)). According to both IRI-2000 and GSM TIP, the negative disturbances in foF2 at Millstone Hill are formed throughout the entire considered period. Exceptions are the disturbances in foF2 at the daytime of September 10 and the nighttime of September 11 and 12, when GSM TIP shows positive disturbances. IRI-2000 predicts negative foF2 disturbances above Arecibo for all the days, whereas GSM TIP anticipates positive daytime disturbances for all the days and the positive nighttime disturbances on September 11–13. Thus, the IRI-2000 model does not predict any foF2 storm-time positive disturbances for all the considered stations. Note that the negative disturbances in GSM TIP are a lot smaller than in IRI.
The strong positive disturbance seen in the Irkutsk foF2 variations on the afternoon of September 11 is absent at first sight at Yakutsk. The reason is that no Yakutsk foF2 data were available during this period because of strong radio wave absorption, and so it is quite possible that the same positive disturbance existed over Yakutsk. This suggestion is supported in Klimenko et al. (2011) by a similarity in the behavior of the main drivers (variations of electric field, meridional component of thermospheric wind and neutral atmosphere composition) obtained in the GSM TIP calculations for Irkutsk and Yakutsk.
The negative afternoon and evening disturbances in foF2 are seen in the Millstone Hill digisonde and ISR observations during the entire considered period except the positive disturbances in the afternoon on September 10. The sign of these disturbances is in agreement with the GSM TIP calculations; however, the calculated positive and negative disturbances in foF2 are much weaker than in the observations. IRI-2000 is well reproducing the negative foF2 disturbances above Millstone Hill (see Fig. 3) but not the positive disturbances.
The positive disturbances are caused by the meridional component of the thermospheric wind. The same conclusion has been made by Lu et al. (2008) and Klimenko et al. (2011) in the modeling study of the positive phase of the September 10, 2005 ionospheric storm. The GSM TIP reduction of the n(O)/n(N2) ratio above Millstone Hill should lead to the decrease in the electron density. The resulting effect is defined by the combined action of the ther-mospheric wind and the neutral atmosphere composition. According to GSM TIP, the contribution of both components of the electric field to this positive disturbance is insignificant. At the same time, the Millstone Hill ISR observations (Fig. 7) show the additional eastward and northward components of electric field, which in the given situation should lead to the positive effect in foF2. The GSM TIP calculated positive disturbances in foF2 on September 11 and 12 from 06:00 to 09:00 UT are associated with the action of the additional eastward electric field, whereas the negative disturbances in foF2 during September 11–13 are associated with the strong reduction of the n(O)/n(N2) ratio.
According to both the GSM TIP calculations and the observations, the positive disturbances in hmF2 have three peaks: pre-sunrise, daytime, and evening. Both GSM TIP and the observations show that the pre-sunrise peak is associated with the additional eastward electric field. The additional equatorward wind amplifies the electric field effect according to the observations. In GSM TIP the day time peak is associated with the increase of the equatorward wind, whereas the observations show the joint contribution of the additional eastward electric field and the equatorward wind. In GSM TIP the evening peak in hmF2 is associated with the effect of the additional equatorward wind which is reduced by the westward electric field.
Only the positive disturbances in foF2 and hmF2 on September 10 were observed above Arecibo. GSM TIP also shows only the positive disturbances, but the IRI model predicts only the negative disturbances. The afternoon positive disturbances in foF2 are associated with the additional equatorward thermospheric wind, and the nighttime disturbances are due to the joint action of the equatorward thermospheric wind and both components of the electric field. The reduction of the n(O)/n(N2) ratio decreases these positive disturbances. According to GSM TIP the positive disturbances in hmF2 have three peaks: pre-sunrise, daytime, and nighttime. The pre-sunrise and nighttime peaks in hmF2 are associated with the joint action of the additional eastward electric field and the additional equatorward thermospheric wind. The day time peak is associated with increase of the equatorward thermospheric wind.
We have compared the GSM TIP calculations, the IRI-2000 predictions, and the observations at multiple locations. Figures 3–7 demonstrate that the IRI-2000 predicts the negative disturbances in foF2 in good agreement with the observations. The exceptions are the observed positive disturbances in foF2 at Yakutsk, Irkutsk, Millstone Hill and Arecibo. Thus, the main discrepancy between IRI-2000 and the observations is the absence of positive foF2 disturbances during the considered geomagnetic storms.
Miró Amarante et al. (2007) and Buresova et al. (2010) show that the empirical storm-time ionospheric correction model captures more effectively the negative phases, while electron density enhancement during storms and the transition between the different storm phases is reproduced with less accuracy. This model is not able to reproduce correctly the storm-induced rapid changes in the daily course of foF2, i.e., the initial rapid positive ionospheric response to the storm onset (Buresova et al., 2010). This is probably due to the insufficient number of observational data used in the development of the empirical storm-time ionospheric correction model. It is likely that the update of this model with increased volume of observational data would improve its performance.
The comparison of the GSM TIP calculations and the observations has revealed both the qualitative agreement and the quantitative disagreement. As suggested in Klimenko et al. (2011), the possible reasons of the differences between the GSM TIP calculations and the observations are the following: the coarse temporal resolution of the model input parameters (e.g., the three-hour Kp-index), the use of the dipole approach of geomagnetic field in the GSM TIP model, and the absence of solar flare effects in the model.
The prompt penetration electric fields from high latitudes to the equator occurs due to the failure of shielding conditions of magnetospheric convection electric field by R2 FAC. Vasylíünas (1970) has predicted a ~30 min delay of the shielding effect with respect to the development of the magnetospheric convection electric field. This delay leads to the penetration to the low latitudes of magnetospheric convection electric field at the increasing geomagnetic activity (Kikuchi et al., 2010), and Alfven layer electric field (overshielding effects) at the decreasing geomagnetic activity (Kikuchi et al., 2010). The dependence of the model input parameters on the 3-hour Kp-index allows correct description of the prompt penetration electric field or over-shielding only in the first 30 min after each change in Kp-index.
The use of the dipole approach in the GSM TIP model does not allow consideration of the distortions of the Earth’s magnetic field during geomagnetic storms. Tsyganenko et al. (2003) pointed out that in any particle simulation of the inner magnetospheric dynamics during major storms, the use a dipolar or quasi-dipolar magnetic field model is inadequate even at L ~ 3–4. The magnetic field should be obtained either using a more realistic empirical model or by means of a fully self-consistent code, based on global particle distributions and externally driven boundary conditions. This approach was used by Li et al. (2011) in a study of the superdense plasma sheet formation during storm-time. At the present stage of GSM TIP model development the use of a realistic geomagnetic field represents a difficult problem which requires the development of an absolutely new model.
Despite the marked imperfections in the present problem statement, we have obtained a qualitative agreement (the disturbances with the same sign) with the observations and confirmed the conclusions about the main formation mechanisms of ionospheric disturbances during the September 10, 2005 storm based on model calculations of Lu et al. (2008). The GSM TIP calculations of the ionospheric effects of the geomagnetic storm sequence show that the positive ionospheric disturbances in foF2 are mainly caused by the equatorward thermospheric wind and the eastward component of the electric field. This positive effect is reduced by the neutral atmosphere composition change, which is the main mechanism of the negative disturbance formation. The other mechanism is the westward electric field and the poleward thermospheric wind.
The IRI-2000 model does not reproduce the positive storm time disturbances observed in the mid-latitude F-region electron density. The latitudinal extent of the IRI-2000 predicted positive phase is much narrower than in GSM TIP, while the magnitude of the response is smaller than in GSM TIP. The GSM TIP simulation, in turn, strongly underestimates the observed positive phase of the ionospheric storm.
The GSM TIP disturbances are of the same sign as the ionosonde and ISR observations. The differences between storm and quiet time are always smaller in the GSM TIP model than in the observational data. The largest discrepancies occurred at Irkutsk during daytime on September 11, 2005. We suggest that the causes of the differences between model calculations and data were the coarse (3-hour) resolution of the model drivers, the dipole approximation of geomagnetic field in GSM TIP, and also the possible effects of solar flares which are not included in GSM TIP calculations.
The analysis of the observations and GSM TIP calculations has shown that the positive ionospheric storm is mainly caused by the equatorward meridional ther-mospheric wind, and can be further enhanced by the eastward component of electric field. This positive effect is reduced by the change of the neutral atmosphere composition which is the main formation mechanism of the negative disturbances in foF2.
The authors acknowledge the Irkutsk and Yakutsk digisonde teams and Arecibo and Millstone Hill ISR teams for processing the data and making the experimental data available. We express our gratitude to Prof. Bodo Reinisch for his help in evaluating this paper. These investigations were carried out with the financial support of the Russian Foundation for Basic Research (RFBR)—Grant No. 08-05-00274.
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