Abstract
We report on an observationally constrained analytical model, the INterplanetary Flux ROpe Simulator (INFROS), for predicting the magnetic field vectors of coronal mass ejections (CMEs) in the interplanetary medium. The main architecture of INFROS involves using the near-Sun flux rope properties obtained from the observational parameters that are evolved through the model in order to estimate the magnetic field vectors of interplanetary CMEs (ICMEs) at any heliocentric distance. We have formulated a new approach in INFROS to incorporate the expanding nature and the time-varying axial magnetic field strength of the flux rope during its passage over the spacecraft. As a proof of concept, we present the case study of an Earth-impacting CME which occurred on 2013 April 11. Using the near-Sun properties of the CME flux rope, we have estimated the magnetic vectors of the ICME as intersected by the spacecraft at 1 au. The predicted magnetic field profiles of the ICME show good agreement with those observed by the in situ spacecraft. Importantly, the maximum strength (10.5 ± 2.5 nT) of the southward component of the magnetic field (Bz) obtained from the model prediction is in agreement with the observed value (11 nT). Although our model does not include the prediction of the ICME plasma parameters, as a first-order approximation, it shows promising results in forecasting of Bz in near real time, which is critical for predicting the severity of the associated geomagnetic storms. This could prove to be a simple space-weather forecasting tool compared to the time-consuming and computationally expensive MHD models.
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1. Introduction
Coronal mass ejections (CMEs) are powerful expulsions of gigantic clouds of magnetized plasma that routinely erupt from the Sun and propagate out through the solar system. When such an eruption is directed toward Earth with high speed and its north–south magnetic field component (Bz) is directed toward the south, an intense magnetic storm occurs upon the impact of the CME on Earth's magnetosphere (Wilson 1987; Tsurutani et al. 1988; Gonzalez et al. 1999; Huttunen et al. 2005; Yurchyshyn et al. 2005; Gopalswamy et al. 2008). The storm can occur when the interplanetary flux rope (FR) and/or the sheath between the FR and the associated shock has southward Bz. Therefore, prior knowledge of the strength and orientation of the magnetic field embedded in the FR is required in order to forecast the severity of geomagnetic storms caused by CMEs.
Several modeling efforts have been made in order to predict Bz at 1 au (Odstrčil & Pizzo 1999; Shen et al. 2014; Savani et al. 2015; Jin et al. 2017; Kay & Gopalswamy 2017; Möstl et al. 2018). However, due to the complexity of the Sun–Earth system in a time-dependent heliospheric context, the semianalytical and global MHD models are usually unable to reproduce the strength and orientation of the magnetic field vectors observed by the in situ spacecraft. The FR from Eruption Data (FRED) technique published recently can be used to obtain the magnetic properties of the near-Sun coronal FRs from the photospheric magnetic flux under post-eruption arcades (PEAs) and the geometric properties of the FR obtained from the fitting of white-light coronagraphic structures (Gopalswamy et al. 2018a, 2018b). In this work, we developed an analytical model, the INterplanetary Flux ROpe Simulator (INFROS), that utilizes FRED parameters as realistic inputs and evolves those parameters in real time to predict the magnetic field vectors of interplanetary coronal mass ejections (ICMEs) reaching Earth.
Apart from using realistic inputs, we formulated a new approach in our model to incorporate the expanding nature and the time-varying axial magnetic field strength of the FR during its passage over the spacecraft. In contrast to existing models (Savani et al. 2015; Kay & Gopalswamy 2017; Möstl et al. 2018), our approach is unique in that it does not involve any free parameters like the dimension, axial field strength, time of passage, and the speed of the ICME at 1 au. Therefore, INFROS is the first such model that uses realistic inputs to predict the magnetic field vectors of ICMEs without involving any free parameters.
In principle, INFROS can be used to estimate the magnetic field vectors of ICMEs at any heliocentric distance. Importantly, the prediction of magnetic field vectors of Earth-reaching ICMEs at 1 au is crucial for space-weather forecasting. Therefore, in this paper, we considered this heliocentric distance to be 1 au for explaining the development of the model.
This article is organized as follows. The observational reconstruction techniques of the near-Sun FR parameters are discussed in Section 2. In Section 3, we describe the model architecture developed to predict the ICME vector profiles at 1 au. We validate our model for a test case in Section 4. Finally, we summarize our results and discuss their implications for space-weather forecasting in Section 5.
2. Near-Sun Observations of FR Properties
We determine the geometric and magnetic properties of the near-Sun FRs using the FRED technique as described in this section.
2.1. Geometrical Properties
We determine the three-dimensional morphology and the propagation direction of CMEs by using the graduated cylindrical shell (GCS; Thernisien 2011) model. This model fits the geometric structure of CMEs as observed by white-light coronagraphs such as the Large Angle and Spectrometric Coronagraph (LASCO; Brueckner et al. 1995) on board the Solar and Heliospheric Observatory (SOHO; Domingo et al. 1995) mission and the Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI; Howard et al. 2008) on board the Solar Terrestrial Relations Observatory (STEREO; Kaiser et al. 2008) mission. Using the GCS model, we obtain the propagation longitude (ϕ) and latitude (
The parameter
2.2. Magnetic Properties
Observational approaches to determine the three magnetic parameters that completely define any force-free FR are discussed as follows.
2.2.1. Axial Field Strength (B0)
Several studies have shown that the azimuthal (poloidal) flux of magnetic FRs formed due to reconnection is approximately equal to the low-coronal reconnection flux, which can be obtained from either the photospheric magnetic flux underlying the area swept out by the flare ribbons (Longcope et al. 2007; Qiu et al. 2007) or the magnetic flux underlying the PEAs (Gopalswamy et al. 2017). Combining the geometrical parameters of the FR obtained from the GCS fitting as discussed in Section 2.1 with the estimation of the reconnected magnetic flux, Gopalswamy et al. (2018b) introduced the FRED model which shows that the axial magnetic field strength of the FR can be determined using a constant alpha force-free FR model (Lundquist 1950). We thereby obtain the magnetic field strength (B0) along the FR axis using the relation (Gopalswamy et al. 2018a, 2018b),
where ϕp is the azimuthal magnetic flux taken as the reconnection flux, x01 (=2.4048) is the first zero of the Bessel function J0, L is the length, and r is the cross-sectional radius of the FR.
2.2.2. Direction of the Axial Magnetic Field and the Sign of Helicity
In order to determine the direction of the axial magnetic field and the helicity sign (chirality) associated with the FR, we first apply the hemispheric helicity rule to the source active region of the CME as a first-order approximation (Pevtsov et al. 1995; Bothmer & Schwenn 1998). However, the statistical studies by Liu et al. (2014) show that the hemispheric rule is followed only in 60% of cases. Therefore, in order to confirm the chirality and axial orientation of the FRs, we use other signatures such as preflare sigmoidal structures (Rust & Kumar 1996), J-shaped flare ribbons (Janvier et al. 2014), coronal dimmings (Thompson et al. 2000; Webb et al. 2000; Gopalswamy et al. 2018c), coronal cells (Sheeley et al. 2013), or filament orientations (Hanaoka & Sakurai 2017). Analyzing the locations of the two core dimming regions or the two ends of the preflare sigmoidal structure, one can identify the locations of the two footpoints of the FR. Thereafter, the locations of the FR footpoints can be overlaid on the line-of-sight magnetogram to determine in which magnetic polarities the FR is rooted (Palmerio et al. 2017). Once the direction of the axial field is determined, one can confirm the helicity sign (chirality) from the positive and negative polarities that are divided by the neutral line (Bothmer & Schwenn 1998; Marubashi et al. 2015; Gopalswamy et al. 2018a).
CMEs may undergo rotation in the lower corona depending on the amount of sigmoidality or the skew present in the associated pre-eruptive FR structure (Lynch et al. 2009). Therefore, one can get a mismatch between the FR orientation determined from the on-disk observations and the tilt angle of the CME obtained from the GCS fitting. Moreover, considering an uncertainty of ±20° in determining the on-disk axis orientation (Palmerio et al. 2018) and ±10° in determining the GCS tilt angle (Thernisien et al. 2009), one can obtain a difference in the angles of up to ±30° between the GCS tilt and the on-disk axis orientation, in the absence of any significant rotation of the associated CME. Therefore, in order to resolve the 180° ambiguity in determining the FR axis orientation from the GCS tilt, we consider the smallest angle (<180°) between the on-disk and the GCS axis orientation. In this way, we can determine the direction of the axial magnetic field of the CME observed in the coronagraphic field of view.
3. Modeling the Interplanetary FRs Using the Near-Sun Observations
We track the evolution of the near-Sun FR properties using the analytical model (INFROS) and estimate the magnetic field vectors of the associated interplanetary FRs known as magnetic clouds (MCs). Notably, MCs are a subset of ICMEs which show enhanced magnetic fields with a smooth rotation in the direction of field vectors and low proton temperature during its passage over the in situ spacecraft (Burlaga 1988). On the other hand, ICMEs which lack MC signatures in their in situ profile are known as noncloud ejecta. The internal magnetic field structure of those ICMEs does not resemble that of a magnetic FR. However, it is important to note that all ICMEs may have FR structures, but their in situ observations may lack that coherent magnetic structure depending on the path of the observing spacecraft (Gopalswamy 2006; Kim et al. 2013). Therefore, similar to the existing semianalytical and analytical models (Savani et al. 2015; Kay & Gopalswamy 2017; Möstl et al. 2018), INFROS is applicable for all ICMEs in general, but can be validated only for those ICME events which show MC signatures in their in situ profile.
As significant deflection and rotation of CMEs generally occur very close (less than 10RS) to the Sun (Lynch et al. 2009; Kay & Opher 2015), we assume that the propagation direction and the axis orientation of the CME obtained from the GCS fitting at approximately 10RS are maintained throughout its evolution from the Sun to Earth. We also do not consider any CME–CME interaction in the interplanetary space, which may change the propagation trajectory of the CME. Assuming that the CMEs expand in a self-similar (Subramanian et al. 2014; Good et al. 2019; Vršnak et al. 2019) way during its interplanetary propagation, we estimate the geometrical parameters of the CME upon its arrival at 1 au. Using the conservation principle of the magnetic flux and helicity, we determine the magnetic properties of the FR when it is intersected by the spacecraft at 1 au. Finally, incorporating those estimated geometrical and magnetic parameters of the FR in a constant alpha force-free FR solution (Lundquist 1950), we estimate the expected magnetic vector profiles of Earth-impacting ICMEs. A detailed description of the INFROS model is as follows.
3.1. Estimating the Impact Distance
In order to estimate which part of the ICME will be intersected by the observing spacecraft at 1 au, it is important to first determine the impact distance (d) that is the closest distance between the MC axis and the location of the spacecraft. According to the geometry illustrated in Figure 1, we can write
where RSE is the distance between the Sun and Earth, and ϕ is the longitudinal direction of the line DA. As the plane perpendicular to the MC axis is tilted by an angle
Using the value of AC from Equation (3), we can obtain the minimum separation angle
After determining the value of
3.2. Cross-sectional Radius of the FR when the Spacecraft Just Encounters the Arrival of the MC
In order to infer the axial field strength of the MC from the conservation of magnetic flux, we need to estimate its cross-sectional area during its passage over the spacecraft. Figure 2 depicts a schematic picture of an MC cross section when the spacecraft just encounters its arrival. According to the geometry as illustrated in Figure 2, we can write
where RC is the radial distance of the MC axis from the Sun center,
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Standard image High-resolution imageFor
3.3. Self-similar Approach to Incorporate the FR Expansion during Its Passage through the Spacecraft
Figure 3 depicts the spacecraft trajectory inside the MC assumed to expand isotropically with expansion speed Vexp. The MC axis propagates with a speed Vpro along the direction depicted by the black arrows in Figure 3. Therefore, in the FR frame of reference, the spacecraft traverses from point A (lying on the front boundary of the MC) to point B (lying on the rear boundary of the MC) with speed Vpro. If tp is the travel time for the spacecraft to complete the path AB, we can write
where Ri and Rf are the cross-sectional radii of the front and rear boundaries of the MC, respectively, and "d" is the impact distance of the spacecraft from the MC axis. By the time (tp) the spacecraft traversed the path AB, the cross-sectional radius of the MC has increased from Ri to Rf with expansion speed Vpro. Therefore, we can write
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Standard image High-resolution imageConsidering a general case, where the MC axis takes ttravel time to traverse a distance Rtip with a speed vpro, we can write
During the time ttravel, as the cross-sectional area of the MC also expands with speed vexp, the final radius of the MC cross section after ttravel can be written as
Using the properties of self-similar expansion, Rcross and Rtip can be related as Rcross =
Using Equations (9), (10), and (13), we can write
In Equation (14), Ri, d, and
where
Therefore, solving Equation (15), we can estimate the final radius (Rf) of the expanding FR when the spacecraft encounters the rear boundary of the MC. After estimating Ri (initial radius of the MC front boundary), Rf (final radius of the MC rear boundary), and "d" (impact distance), we can estimate the path AB as depicted in Figure 3. In order to capture the full expansion profile of the MC, next we need to determine the cross-sectional radius of the expanding FR at any distance x traversed by the spacecraft throughout the path AB (Figure 3). Let us consider that at any time t (0 ≤ t ≤ tp), the spacecraft traverses a distance x with a speed vpro along AB in the frame of reference attached to the MC axis. Therefore, we can write
During the time t, the cross-sectional radius of the FR increases from Ri to Rt with a speed vexp. Therefore, we can write
Using Equations (14), (16), and (17), we can further write
Rewriting Equation (18), we get
Therefore, at any distance x along the path AB (Figure 3), we can estimate the cross-sectional radius (Ri ≤ Rt ≤ Rf) of the expanding FR using Equation (19). It is noteworthy that we have started our formulation with the unknown parameters Vexp, Vpro, and tp (see Equations (9) and 10) and finally arrived at Equations (15) and (18), which are independent of the aforementioned variables. This is the major advantage of this formulation as we have incorporated the FR expansion in such a way so as to get rid of the free or unknown parameters like the expansion speed (Vexp), propagation speed (Vpro), and time of passage (tp) of the ICMEs at 1 au.
3.4. Estimating the Final Magnetic Field Profiles of the MC at 1 au Using a Cylindrical FR Solution
It is expected that the FR axial field strength (B0) will decrease as the length () and cross-sectional radius (r) of the FR will increase during its expansion and propagation throughout interplanetary space (see the expression of B0 in Equation (1)). Assuming that the angular width (2
Therefore, knowing the cross-sectional radius Rt (Ri ≤ Rt ≤ Rf) of the FR during its passage through the spacecraft using the Equation (19), we can estimate its axial field strength (Bt) at any time t (0 ≤ t ≤ tp) using the following relation:
where rCME is the cross-sectional radius, and is the axial magnetic field strength of the near-Sun FR obtained from the observations as discussed in Section 2.
As the spacecraft intersects the MC along the path AB (see Figure 3), at any location (x) along AB, the magnetic field vectors of the FR can be obtained using a cylindrical FR solution (Lundquist 1950) in a local cylindrical coordinate () attached to the MC axis. The magnetic vectors in the aforementioned (r, ϕ, z) coordinate system will be
where H = ±1 is the handedness or sign of the helicity, which is the same as that of the near-Sun FRs according to the conservation of helicity rule,
As we have assumed that after 10RS the CME does not suffer any significant rotation and deflection, therefore the final elevation angle (
4. INFROS Model Validation: A Test Case for the CME Event on 2013 April 11
As a proof of concept, we validate our model (INFROS) for an Earth-directed CME which erupted from the Sun on 2013 April 11 at around 06:50 UT. The CME was associated with an M6.6 class solar flare (Cohen et al. 2014; Lario et al. 2014; Vemareddy & Zhang 2014; Vemareddy & Mishra 2015; Joshi et al. 2017; Fulara et al. 2019) that occurred in the active region (AR) 11719. Its arrival at the L1 point was detected through the signature of shock arrival on 2013 April 13 at 22:54 UT, FR leading edge on 2013 April 14 at 17:00 UT and a trailing edge on 2013 April 15 at 19:30 UT. The smooth variation and rotation in its in situ magnetic field profile along with the low proton temperature hold the characteristic signatures of an MC (Burlaga 1988). Moreover, the CME did not exhibit any interaction with other CMEs and evolved as an isolated magnetic structure from the Sun to Earth. Therefore, the basic assumptions made in our model hold good for this case study.
The evolution of the flare ribbons and the formation of PEAs associated with the M6.6 class flare (see Figure 4) were well observed by the Atmospheric Imaging Assembly (AIA; Lemen et al. 2012) and the Helioseismic and Magnetic Imager (HMI; Schou et al. 2012) on board the Solar Dynamics Observatory (Pesnell et al. 2012). Furthermore, the multivantage point observations from STEREO-A, STEREO-B, and LASCO were suitable to reconstruct the 3D morphology of the associated CME. Therefore, we are able to determine all the near-Sun FR properties of the CME in order to use those as realistic inputs for the INFROS model.
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Standard image High-resolution image4.1. Model Inputs for the CME Event on 2013 April 11
4.1.1. Poloidal Flux Content of the FR
We calculate the flare-associated reconnection flux by applying both methods (Longcope et al. 2007; Qiu et al. 2007; Gopalswamy et al. 2017) as described in Section 2.2.1. The red and blue regions in the lower-left panel of Figure 4 show the cumulative flare ribbon area overlying the positive and negative polarities of the photospheric magnetic field, respectively. The average of the absolute values of the positive and negative magnetic fluxes underlying the cumulative flare ribbon area yields the value of the reconnection flux as 1.9 × 1021 Mx. Taking into account the formation height of the flare ribbons, we have incorporated a 20% correction (Qiu et al. 2007) in the estimation of the reconnection flux. The half of the total unsigned magnetic flux underlying the PEA (the region enclosed by the red boundary as shown in the upper-left and lower-left panels of Figure 4) yield the value of reconnection flux as 2.3 × 1021 Mx. In order to determine the magnetic properties of the associated CME, we equate the poloidal flux content of the FR to the average value (2.1 × 1021 Mx) of the reconnection fluxes obtained from the two aforementioned methods.
4.1.2. Direction of the Axial Magnetic Field and the Chirality of the FR
The source location of the M6.6 flare that occurred in AR 11719 was associated with a pre-eruptive sigmoidal structure (Vemareddy & Mishra 2015; Joshi et al. 2017). Panel (a) of Figure 5 shows the highly skewed preflare sigmoid observed in EUV images of the AIA passbands (94, 335 and 193 Å). The observed inverse S-shaped morphology of the sigmoidal structure (indicated by the red dashed line) has been overlaid on the HMI line-of-sight magnetogram (panel (b) of Figure 5), which reveals the left-handed chirality of the associated FR. This follows the hemispheric helicity rule (Bothmer & Schwenn 1998) as the source region of the CME was located in the northern solar hemisphere.
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Standard image High-resolution imageWe identify the two boundaries as shown by the blue and green dashed lines in panel (a) of Figure 5, where the two ends of the bundle of sigmoidal field lines are rooted during the pre-eruptive phase. The two aforementioned boundaries are overlaid on the HMI line-of-sight magnetic field and the regions are marked by the yellow ellipses (see panel (b)). The simple connectivity (without considering any twist) between the two opposite magnetic polarities underlying the regions marked by the yellow ellipses suggests the northwest direction (as shown by the yellow arrow) as the axial orientation of the FR at higher heights in the corona (above ≈5 RS). This is expected as the apex orientation of the left-handed FR should rotate in the counterclockwise direction to release the axial twist or writhe during its evolution in the lower corona below 5 RS (Lynch et al. 2009).
In order to confirm the axial orientation of the FR, we further investigate the morphology of the associated PEA formed during the flare. Panel (c) of Figure 5 shows that the eastern part of the PEA channel is tilted toward the southwest direction and further bends toward the northwest direction at the location indicated by the yellow arrow, forming a nearly U-shaped morphology. This is certainly a complex morphology, which makes the event more complicated. Considering the apex orientation of the FR inferred only from the eastern part of the PEA channel, Palmerio et al. (2018) found a contradiction between the solar and 1 au Bz direction. However, we focused on the full U-shaped morphology of the PEA channel in this study. Considering the full extent of the PEAs allows us to analyze the FR structure beyond the sigmoidal pre-eruptive configuration and, therefore, to capture the complete evolution of the FR in the lower corona during the phase of sigmoid to arcade formation. According to the standard flare model in three dimensions (Shibata et al. 1995; Moore et al. 2001; Priest & Forbes 2002), the footpoints of the eruptive FRs are believed to be located on either side of the two ends of the PEA channel. Therefore, considering the left-handed chirality, we mark the expected locations of the two footpoints of the FR as shown by the yellow circles at the two ends of the U-shaped PEA channel. The red dashed curve connecting the two yellow circles indicates the possible writhe presented in the FR during the formation phase. This is in agreement with the observed writhing motion of that FR during the eruptive phase as reported by Joshi et al. (2017). Therefore, due to the writhing motion, the FR would have relaxed the axial twist during its evolution in the lower corona, resulting in an orientation following the straight connectivity (shown by the blue dashed line in panel (d) of Figure 5) between the two footpoint locations. In such a scenario, the magnetic polarities underlying the two yellow circles clearly indicate that the axial orientation of the FR is directed toward the northwest.
From the GCS fitting (Figure 6) of the observed white-light morphology of the CME at ≈10RS, we estimate the tilt angle of the CME axis as 73° ± 10° with respect to the ecliptic plane. Minimizing the difference in angle between the GCS tilt and the axial direction (northwest) of the FR inferred from the on-disk observations, we obtain the axial magnetic field direction of the CME FR at ≈10RS along 73° ± 10°, measured in the counterclockwise direction with respect to the solar equator. Assuming that no major rotation occurred after 10RS, we consider this axis orientation as the final orientation of the associated MC axis at 1 au.
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Standard image High-resolution image4.1.3. Axial Field Strength of the FR
In order to estimate the axial field strength of the near-Sun FR, we first determine the geometrical parameters associated with it. The top panels of Figure 6 show the white-light morphology of the CME as observed in the base difference images obtained from STEREO-A/B and LASCO. The GCS fitting (bottom panels of Figure 6) to the multivantage point observations of the CME yields the aspect ratio (
4.1.4. Propagation Direction of the CME
The GCS fitting (Figure 6) of CME morphology at ≈10RS yields the propagation direction of the CME along S05E10. Taking into account an uncertainty of 10° in determining both the longitude and latitude of the propagation direction, we have performed the GCS fitting several times and found the propagation direction of the CME to lie within the range 0°–10° E and 5°–15° S. Using the range of values of the propagation direction and the tilt angle (73° ± 10°) of the CME as inputs, we estimate the impact distance of the CME magnetic axis at 1 au within the range 0–21 RS.
4.2. Sensitivity of the Estimated Magnetic Vectors to the Propagation Direction and Tilt Angle of the CME
We notice that the sign of the Bx component for the estimated magnetic vectors of the ICME as detected by any spacecraft aligned along the Sun–Earth line is very sensitive to the propagation direction of the CME. The three panels in Figure 7 depict the location of Earth (denoted by blue dots) with respect to the magnetic axis (denoted by black solid lines) of the CME propagating along three different directions which are within the error limits as estimated in Section 4.1.4. In each of the three panels, the Sun grids are shown within ±30° longitude and latitude where the projected location of Earth on the solar disk resides at 0° longitude and 0° latitude. Keeping the tilt angle as 73°, we project the magnetic axis of the CME on the solar disk as shown by the black solid lines in each panel. The green dots and arrows on the magnetic axis denote the propagation direction of the CME and the direction of the axial magnetic field of the associated FR, respectively. The arrows along the black dashed lines surrounding the CME magnetic axis depict the direction of the poloidal magnetic field according to the left-handed chirality of the associated FR.
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Standard image High-resolution imageNotably, at any projected location on the solar disk which lies on the left/right side of the CME axis, the direction of the poloidal magnetic field will be toward/outwards from the Sun. Accordingly, the sign of Bx will change at any location on either side of the magnetic axis, which we have shown by the pink and blue regions, where Bx possesses positive and negative values, respectively. Panel (a) in Figure 7 shows that the projected location of Earth lies on the region of negative Bx for the estimated direction (10° E, 5° S) and tilt (73° with respect to the ecliptic plane) of the MC axis as obtained from the GCS fitting. However, a small shift in the propagation direction from 10° E, 5° S to 3° E, 12° S results in a zero impact distance between the MC axis and the Sun–Earth line (see panel (b) in Figure 7) for which the estimated Bx component turns out to be zero. If we further shift the propagation direction of the MC axis from 3° E, 12° S to 0° E, 15° S within the error limits, the sign of Bx becomes positive as the location of Earth or any spacecraft aligned along the Sun–Earth line lies on the left side of the MC axis where the direction of the poloidal magnetic field is toward the Sun (see panel (b) in Figure 7). Therefore, our analysis shows that within the error limits of the propagation direction of the CME, Bx can have both positive and negative components in the estimated magnetic vectors of the ICME at 1 au.
It is noteworthy that the above-mentioned scenario is true for any tilt angle of the FR orientation where the propagation direction is very close to the Sun–Earth line. Interestingly, the sign or the direction of the variation (positive to negative or vice versa) of the estimated By and Bz components is not sensitive to small variations (±10°) in the propagation direction and tilt angle of the CME. Therefore, we expect less uncertainty in the prediction of the By and Bz components of the MC.
4.3. Model outputs
Using the near-Sun FR properties of the associated CME as described in Section 4.1, we estimate the magnetic vectors of the ICME as intersected by the spacecraft at 1 au. The curves shown by the black solid lines in Figure 8 depict the observed magnetic vectors of the ICME as detected by the Wind spacecraft (Ogilvie & Desch 1997). The red vertical lines denote the front and rear boundaries of the MC which we have estimated from the observed magnetic field and plasma parameters of the ICME.
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Standard image High-resolution imageIncorporating the uncertainties in the GCS parameters involved in the modeling, we generate all of the possible input data sets from the range of values of the input parameters, i.e., the propagation direction (0°–10°E, 5°–15° S), tilt angle (63°–83°), and aspect ratio (0.20–0.24) of the CME. Further, considering an error of 2 × 1020 Mx (standard deviation of the two values of reconnection flux obtained from the two different methods as discussed in Section 4.1.1) in determining the poloidal flux and ±0.02 in determining the CME aspect ratio, we get a 20% error in estimating the axial field strength () of the CME. This yields the estimated range of at 10Rs as 42–62 mG, with a mean value of 52 mG. This is consistent with the average value of the distribution of axial fields at 10RS (Gopalswamy et al. 2018b). Using these sets of input data, we run our model and generate synthetic magnetic profiles of the MC. Among these sets of predicted magnetic vectors, we find that the magnetic profiles (shown by the blue dashed lines in each panel of Figure 8) which best match the observed magnetic vectors of the MC can be obtained by using the propagation direction along 0° E, 15° S, the tilt angle as 73°, the aspect ratio as 0.22, and the axial field strength at 10Rs as 52 mG. For this set of input parameters, we show the spacecraft trajectory through the MC and the magnetic field profiles of the FR cross section when the spacecraft intersects the front and rear boundaries of the MC (Figure 9). The uncertainty in predicting the magnetic vectors as shown by the gray shaded region in each panel of Figure 8 is obtained by overplotting all sets of output magnetic profiles.
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Standard image High-resolution imageIn order to overplot the modeled magnetic vectors within the temporal window of the observed MC, we identify the front and rear boundaries of the modeled MC from the hodogram analysis. Figure 10 shows the scattered plots among the magnetic field vectors within the MC for both observed and modeled data values. The yellow dots drawn over the plots for the modeled data values denote the data points that approximately match the front and rear boundaries of the observed MC. Therefore, we take the observed MC boundary as a reference boundary and overplot the data points of the modeled magnetic vectors that lie in between the two yellow dots.
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Standard image High-resolution imageFigure 8 shows that the predicted magnetic field profiles of the MC obtained from our model are in good agreement with those of the observed profiles as detected by the Wind spacecraft. In comparison to the By and Bz components, the larger uncertainty that arises in predicting the Bx component is due to its sensitivity toward the propagation direction of the CME, which we have discussed in Section 4.2. Nevertheless, the predicted profiles for the By and Bz components show good agreement with the observed profiles. The predicted strength of the Bz component has been found to be 10.5 ± 2.5 nT when the MC axis makes its closest approach to the spacecraft. This is in agreement with the maximum observed strength (11 nT) of the Bz component obtained from the in situ data. Therefore, our model successfully predicts both the strength and the general profile of the Bz component of the MC with good accuracy.
5. Conclusion
We presented an analytical model (INFROS) to predict the magnetic field vectors of ICMEs based on realistic inputs obtained from near-Sun observations. As a proof of concept, we validate our model for the 2013 April 11 CME event. The predicted magnetic field vectors of the ICME obtained from INFROS show good agreement with those observed by the Wind spacecraft at 1 au. This shows promising results in forecasting Bz in real time.
There are several key aspects in which INFROS appears to be superior than the existing semianalytical (Kay et al. 2017) and analytical (Savani et al. 2015) models. The analytical model proposed by Savani et al. (2015) does not incorporate the expanding nature of the ICME during its passage through the spacecraft, which yields an unrealistic symmetric profile of the total magnetic field strength of the ICME with time. Kay et al. (2017) included the expanding nature of ICMEs in their semianalytical model using the speed and duration of the passage of the ICME measured at 1 au as free parameters. However, the formulation developed in INFROS incorporates the FR expansion in such a way so as to get rid of the unknown parameters like the expansion speed (Vexp), propagation speed (Vpro), and time of passage (tp) of the ICMEs at 1 au (see Section 3.3). Moreover, none of the existing models (Savani et al. 2015; Kay & Gopalswamy 2017; Möstl et al. 2018) were capable of predicting the time-varying axial field strength of the expanding FR embedded in ICMEs during its passage through the spacecraft. Therefore, it was not possible to forecast the strength of the southward component of the magnetic field (Bz) embedded in the ICMEs in order to predict the severity of the associated geomagnetic storms. It is worth noting that INFROS is capable of predicting the time-varying axial field strength and the expanding nature of the interplanetary FR without involving any free parameters, as all the input parameters are constrained either by the near-Sun observations or the inherent assumptions (self-similar expansion) made in the model. Therefore, the modeling approach proposed in this article turns out to be a promising space-weather forecasting tool where the magnetic field vectors of the ICMEs can be predicted well in advance using the near-Sun observations of CMEs.
In order to reduce the uncertainties involved in the model predictions, INFROS can be further constrained by the inputs obtained from the spacecraft orbiting at different heliocentric distances in between the Sun and Earth (e.g., MESSENGER, VEX, Parker Solar Probe, etc.). In a future study, we plan to validate this model for ICMEs detected by multiple spacecraft orbiting at different heliocentric distances, which will give better insight into the magnetic field variation from the Sun in the direction of the spacecraft.
We thank the referee for helpful comments that improved the quality of this manuscript. This work was performed at the NASA Goddard Space Flight Center under the aegis of the SCOSTEP Visiting Scholar program (R.S.). R.S. thanks SCOSTEP and NASA (via the Catholic University of America) for the financial support. N.G. was partly supported by NASA's Living with a Star program.