
Citation: | Wang, Y. M., Jia, X. Z., Wang, C. B., Wang, S., and Krupar, V. (2020). Locating the source field lines of Jovian decametric radio emissions. Earth Planet. Phys., 4(2), 95–104. DOI: 10.26464/epp2020015 |
Decametric (DAM) radio emissions are one of the main windows through which one can reveal and understand the Jovian magnetospheric dynamics and its interaction with the moons. DAMs are generated by energetic electrons through cyclotron-maser instability. For Io (the most active moon) related DAMs, the energetic electrons are sourced from Io volcanic activities, and quickly trapped by neighboring Jovian magnetic field. To properly interpret the physical processes behind DAMs, it is important to precisely locate the source field lines from which DAMs are emitted. Following the work by Hess et al. (2008, 2010), we develop a method to locate the source region as well as the associated field lines for any given DAM emission recorded in a radio dynamic spectrum by, e.g., Wind/WAVES or STEREO/WAVES. The field lines are calculated by the state-of-art analytical model, called JRM09 (Connerney et al., 2018). By using this method, we may also derive the emission cone angle and the energy of associated electrons. If multiple radio instruments at different perspectives observe the same DAM event, the evolution of its source region and associated field lines is able to be revealed. We apply the method to an Io-DAM event, and find that the method is valid and reliable. Some physical processes behind the DAM event are also discussed.
Jupiter is the largest planet in our solar system with fastest rotation and strongest magnetic field. Its surface magnetic field is as strong as tens of Gauss, which leads to the most intense planetary decametric (DAM) radio emissions (e.g., Zarka, 1998, and references therein). Like the auroral kilometric radiations (AKRs) at the Earth, Jovian DAM emissions are caused by high energetic electrons through Cyclotron-Maser (CM) instability (e.g., Wu and Lee, 1979; Lecacheux, 1988; Dulk et al., 1994; Queinnec and Zarka, 1998; Treumann, 2006; Hess et al., 2008). The energy of electrons emitting DAMs is believed to be generally above 0.5 keV (Waite et al., 1988; Zarka et al., 1996; Hess et al., 2008). Since Jupiter's magnetosphere holds cold and strongly magnetized plasmas with the electron plasma frequency much smaller than electron cyclotron frequency (i.e.,
On the other hand, unlike AKRs, which are mainly driven by the external forcing, i.e., the solar wind, the Jovian DAMs, especially the Io-related DAMs occurring in the inner magnetosphere, are mostly driven by internal processes due to the strong magnetic field (e.g., Hill et al., 1983; Zarka, 1998; Cowley and Bunce, 2001; Kivelson and Southwood, 2005). Io, with more than 400 volcanoes, is the most active moon of Jupiter, supplying large amount of plasmas into magnetosphere (Schneider and Bagenal, 2007). These loaded plasmas are picked up by and corotate with the Jovian magnetosphere, and drive many dynamic processes there including DAMs. Thus, DAM emissions are of great interest as they carry important information of the Jovian magnetospheric dynamics, and can be detected by remote radio instruments on ground and/or on spacecraft.
One of the key information of DAMs is the source location as well as the associated field lines from which they are emitted. According to the ‘arc’-shaped drift pattern of DAMs on radio dynamic spectra, we can know if they come from the vicinity of west limb (look like ‘a front bracket’) or east limb (‘a rear bracket’) of Jupiter. However, such a determination is too rough to reveal detailed processes behind the observed features. For example, the plasma in the flux tube linked to Io is believed to be the source of Io-DAMs. However, the strongest emission of Io-DAMs typically shifts toward smaller central meridian longitudes (CML) in System III, i.e., moving ahead of Io in the direction of Io orbiting around Jupiter (e.g., Zarka, 1998; Imai et al., 2002; Hess et al., 2010). Such a shift, or lead angle between the active field line and Io flux tube, can be explained by the presence of Alfvén wings arising from Io's interaction with the sub-Alfvénic flow of the Jovian corotating plasma (e.g., Hill et al., 1983; Jacobsen et al., 2007; Bonfond et al., 2008; Bonfond et al., 2009).
To locate the DAM radio source, Imai et al. (1997, 2002) developed a model based on the observed modulation lanes in the high frequency range of DAM spectra (e.g., Riihimaa, 1968; Riihimaa, 1978). In that model, the source is assumed to be a linear and thin structure along Jupiter's tilted dipole magnetic field that corotates with Io. The emission cone angle and the associated longitude of the emission can be derived from this model. Later, Hess et al. (2008, 2010) established a relation between the velocity of energetic electrons and the emission cone angle based on the lose-cone distribution, and then developed a general simulation code called ‘ExPRES’ (Exoplanetary and Planetary Radio Emission Simulator). In this method, the lead angle between the active field line and Io in longitude and the energy of the associated electrons are two free parameters obtained by fitting observed DAM arcs. Here, inspired by Hess et al. (2008, 2010), we propose a similar method to determine the source region of a DAM, in which a state-of-art Jovian magnetic field model (Connerney et al., 2018) is used. As will be shown below, the core function is the same as that of Hess et al. (2008, 2010), and the input is also just the observed DAM arcs in a broad frequency band, but the procedure is different and therefore results in similar but not exactly the same output. Our method, for example, does not introduce the lead angle between the active field lines and Io as a free parameter when locating DAM source, though we may derive it after all the source field lines have been identified. With observations from multiple spacecraft at different perspectives, the evolution of the DAM source, including, e.g., the apparent rotation speed of the source, the range of the active field lines, and the energy of associated electrons, can be revealed. The details of the method are presented in the next section. In Sections 3 and 4, we will verify the method by applying it to an Io-DAM and show some interesting processes behind the Io-DAM. A summary and discussion is then given in Section 5.
The basic idea of our locating method is that a DAM emission is not isotropic and the frequency depends on the local magnetic field strength owing to the fact that DAMs are fundamental X mode through the CM instability (e.g., Lecacheux, 1988; Zarka, 1998). From a radio dynamic spectrum, we can read the frequency-time drift pattern of a DAM as shown in Figure 1. First, we may immediately know that the DAM comes from eastern/western hemisphere if the drift pattern looks like a rear/front bracket (e.g., Hess et al., 2014). Second, the recorded frequency can be used to derive the magnetic field strength in the source region where the DAM is emitted according to the electron cyclotron frequency formula
B=0.358f, | (1) |
in which B is in units of Gauss and f in units of MHz. It should be noted that the observed frequency f is larger than but very close to the local electron cyclotron frequency
Jupiter's magnetic field is calculated by using the newest model based on the observations from Juno's first nine orbits (Bolton et al., 2017). The model consists of two components. One is the potential field originating from the interior of Jupiter, of which the spherical harmonic coefficients extending to the order of 10 were updated by Connerney et al. (2018), and referred as ‘JRM09’ model field (Juno Reference Model through Perijove 9). The other is the external field due to the presence of the magnetodisc (or the current sheet) from 5 to several tens of Jovian radii (Connerney et al., 1981). Here we use the typical values of the parameters of the magnetodisc model, i.e., the total current related coefficient
A DAM is emitted along the narrow wall of a hollow cone, meaning that an observer can only receive the emission from a certain direction. The emission cone angle,
The range of the emission angle
α=arccos[vc(1−fcefce,max)−1/2], | (2) |
in which v is the speed of the energetic electrons, c is the light speed and
It should be noted that, for one DAM arc in the radio dynamic spectrum, the method may find a set of field lines matching the above criteria: (1) the strength of the field line covers the corresponding frequency swept by the DAM arc, and (2) the emission cone angles and corresponding frequencies of all the candidate points on each field line can be well fitted by Equation (2). On the selected field lines, the obtained electron velocity may be different. But we think that the electrons on these identified field lines could all contribute to the observed DAM emission, and therefore could be all real sources.
The above procedure is based on the observed radio dynamic spectrum from one spacecraft. Through it, we may locate the source region of a DAM emission with the following parameters derived: (1) the position of the source in the three-dimensional space, (2) the information of the associated field lines including the longitudes and latitudes of their footprints, (3) the emission cone angle and (4) the energy or speed of the associated electrons. If there are multiple spacecraft at different perspectives, e.g., Wind, STEREO-A and B (ST-A and ST-B for short), we may further obtain the changes of these derived parameters, reflecting the evolution of the emission source.
Besides, one more constraint is the polarization of emission. As DAMs are the result of CM instability, the right-handed polarized DAMs originate from the northern hemisphere and the left-handed polarized DAMs from the southern hemisphere (e.g., Zarka, 1998; Treumann, 2006). However, not all of the radio observations have the information of polarization. For those having no polarization measurements, we either try both hemispheres or pre-determine the hemisphere based on other information, e.g., the tilt angle of the magnetic pole respective to the observer. If the north pole tilts toward the observer, we tend to believe that the emission comes from the northern hemisphere.
To verify the method, we apply it to an Io-DAM event. For an Io-DAM, we know the position of Io and therefore roughly know where its related DAM should be emitted. The Io-DAM observed by Wind/WAVES (Bougeret et al., 1995) and ST-A and B/WAVES (Bougeret et al., 2008) on 2014 March 14 (see Figure 1) is selected for the test. In the radio dynamic spectra, we can see clearly an intense radio signature drifting from about 5 to 16 MHz within about 25 minutes. The Wind/WAVES first received the DAM emission at about 17:22 UT with a long-lasting radio noisy burst appearing below 5 MHz. The ST-A/WAVES received the DAM emission about two hours later at about 19:24 UT. The ST-B/WAVES received the signal at about 19:44 UT. The time shifts of the DAM signature on the three spectra are due to the configuration of the three spacecraft relative to Jupiter as shown in Figure 3. The emission cone of the DAM first swept the Earth, and then ST-A and ST-B. The time difference due to the different travel distances of the light from Jupiter to the Earth, ST-A and B is several minutes, which is much shorter compared to the observed time shifts among the observers. After correcting for the difference due to the light travel time, we deduce that the source of DAM rotated at a speed much slower than Jupiter itself, but was very close to the rotation speed of Io. Thus, it is Io-related.
A more accurate estimation of the rotation speed of the DAM source is made by calculating the two-dimensional (2D) cross-correlation coefficient (cc) between the radio dynamic spectra from two spacecraft, say Wind and ST-B. We set a 21-minute wide and 5 MHz high box locating between 5 and 10 MHz, where the DAM signature is the most significant in both spectra (see Figure 1), and run the box through both radio dynamic spectra with a certain time shift (or the time lag of the box in one spectrum compared to the other) to calculate the cc value. The width of the box is set to be 21 minutes because it can roughly cover the track of the DAM in the spectra. For a given time lag, we may get a time sequence of the cc values. Then we adjust the time lag to obtain a 2D cc distribution as shown in Figure 4, in which the horizontal axis is the time corresponding to the time recorded by Wind/WAVES and the vertical axis on the left gives the time lag. A negative value of the time lag means that the running box in the ST-B's spectrum lags behind that in the Wind's spectrum.
One can find one and only one significantly high cc region around the time when the DAM appeared in the Wind's spectrum. The time lag of the high cc region is about –142 minutes, including the time difference of about 5 minutes due to the light travel. Since the angular separation of the Wind and ST-B with respective to Jupiter is about 21.5°, we may derive that the rotation speed of the DAM source,
We then apply our method to this event to identify the source region from which the DAM was emitted. From the drift shape of this DAM emission, we know it came from the western hemisphere. We do not have the polarization measurements of the event, but on 2014 March 14 the northern magnetic pole was tilted toward the spacecraft. Thus, we believe that the DAM emission should come from the northern hemisphere. Previous studies also suggested that DAMs are more likely to come from the northern hemisphere under such configurations (e.g., Carr et al., 1983). We use the drifting tracks above 5 MHz for this event, as they are most clear in the radio dynamic spectra. These tracks have a width of about 10 minutes at a given frequency and span over about 25 minutes from 5 to 16 MHz. The value of
The located DAM source corresponding to the frequency range of 5–16 MHz is shown in Figure 5. From the upper to lower panels, there are the results based on the radio dynamic spectra from the Wind, ST-A and ST-B spacecraft. It is found that the radio source at a certain time is successfully confined in a relatively small region as indicated by the blue-red colors. The red symbols correspond to the emissions at 16 MHz. Their heights from the one-RJ surface were about 0.1RJ when Wind/WAVES received the signals and increased to about 0.25RJ when ST-A and B/WAVES received the signals. The blue symbols correspond to the emissions at 5 MHz with the height of about 0.65–0.75RJ during the event. All of these heights are well above Jupiter's ionosphere. Besides, the source field lines concentrate in a narrow angle in longitude, forming a fan-shaped sector. This sector was moving ahead of Io as expected. A more detailed analysis is given below.
The footprint of the identified radio source on the 1/15.4 flattened surface at one RJ is displayed in Figure 6. Our method suggests that the source field lines were located near the edge of the region that contains the strongest magnetic field in the northern hemisphere during 16:42–17:15 UT (the left panel). Note that all the times hereafter are the times at Jupiter if not specified. About two hours later, the footprint moved toward the strongest magnetic field region. The change of the longitudes of these identified source field lines is shown clearer in the right panel, decreasing from about 248° at Wind to about 210° at ST-B. Compared with the IFPs obtained from UV observations (Bonfond et al., 2009), we may find that the footprints of the source field lines located ahead of the IFPs (indicated by the orange line segments in the left panel of Figure 6) with a nearly constant lead angle of about 32° in longitude. It should be noted that the derived longitude only shows changes during the first 10 minutes and the last 10 minutes. This is because the DAM pattern on the radio dynamic spectra is an about 10-minute-width drifting feature over 35 minutes; during the middle 15 minutes, the inputs of our method are the same and therefore the derived parameters are the same.
The apparent rotation speed of the footprint relative to Jupiter's magnetic field was about 38°/137 min
The longitudes of the tops of these source field lines are shown in the left panel of Figure 7. It is found that the longitudes of tops are different from those of footprints because of the non-pure dipole field of Jupiter and the presence of the tilt angle between the magnetic axis and rotational axis as mentioned before. These longitudes are compared to the longitude of Io to reveal possible relationship between the source field lines and Io. When Wind/WAVES received the emissions, the longitude was about 24° larger than that of Io. And 137 minutes later, i.e., when ST-B/WAVES received the emission, the difference increased to 42°, suggesting that the apparent rotation speed of the source field line tops,
The emission cone angles derived by using Equation (2) through the fitting procedure in our method are displayed in Figure 8. A pattern is clearly revealed in the right panel that the emission angle tends to be smaller on the inner magnetic field lines than that on the outer magnetic field lines. The derived emission angles fall well within the preset range of
The energy (or the speed) of energetic electrons exciting the DAM emissions is the fitting parameter of Equation (2) and plotted in Figure 9. The preset electron energy is 0.2 keV, corresponding to the speed of 0.05c. The derived electron energy and speed are well above the limits, suggesting a successful fitting. According to the left panel, it is suggested that when the emission cone swept through Wind spacecraft, the energetic electrons confined in the source field lines had an energy in the range of about 7.5–15.5 keV, and 137 minutes later, when it swept through ST-B, the energy of the associated electrons spread into a slightly wider range of about 9–24 keV. The electron energy falls in the similar range fitted by Hess et al. (2007, 2010) using the Io-DAM arcs, but is slightly larger than the energy of electrons emitting the millisecond bursts. The dependence of the electron energy on the distance of the field line top given in the right panel shows the change more clearly. The electrons emitting the DAM observed by ST-A and ST-B were apparently more energized than those observed by Wind, with energy increasing from below ~15 keV to about 24 keV. The electrons on the outer magnetic field lines typically had a lower energy than those on the inner magnetic field lines. Moreover, according to Equation (2), the emission angle decreases with the increase of electron energy. Thus, the emission angle on the inner magnetic filed lines was smaller than that on the outer magnetic field lines as shown in the right panel of Figure 8.
In this paper, we present a method to locate the source of DAM emissions from the Jovian magnetosphere following the work by Hess et al. (2008, 2010). The method only uses the time and frequency of the DAM drift pattern in the radio dynamic spectrum recorded by a spacecraft, and allows us to derive the information of the source location, source field lines, emission cone angle and the energy of associated electrons. If there are multiple spacecraft receiving the DAM emission from different perspectives, the evolution of the DAM source can be revealed.
By applying this method to an Io-DAM observed on 2014 March 14, we locate the source field lines rooting in a relatively small region in Jupiter's northern ionosphere close to where Io is magnetically mapped, just as expected. Considering the change of emission angles, we find that the rotation speed of the emission source, i.e., the rotation speed of the footprints of identified source field lines, matches that estimated from 2D correlation analysis. The derived emission cone angles and electron energies are well within the preset ranges.
Further integrating the results presented in Section 4, we may outline the following picture for this Io-DAM event. Volcanic activities on Io released neutral particles into space, which then rapidly got ionized, becoming plasma. Through additional acceleration and transport processes and their interaction with Jupiter's magnetosphere, some of the plasma may be energized, producing energetic electrons. These electrons were trapped by magnetic field lines connecting to Io, moved down toward the surface of Jupiter and excited DAM emissions through CM instability. Some electrons were precipitated into the ionosphere, and some were bounced in the field lines and gradually diffused depending on their energies and pitch angles. During this process, the electrons were somehow further energized and spread over a wider region. The diffusive motion of these electrons led to that the DAM source was not fixed on initial field lines, but propagated with a pace very close to Io's footprint. The apparent speeds of the footprints and tops of the DAM source field lines were about
Ωcc | ΩIo | ΩIFP | LAa | Ωfp | Ωtop | Distance/RJ | EAb/(∘)\$ | Energy/keV |
0.255ΩJ | 0.23ΩJ | 0.55ΩJ | 32∘ | 0.55ΩJ | 0.45ΩJ | ∼(2.5+1.5−0.5−5.5+2−1.5) | ∼(63.5+9.5−8.5−61.5+10−6.5) | ∼(12.5+3−5−18+6−9) |
a Lead angle of the footprints of the field lines. b Emission cone angle. |
Moreover, it is found that the electrons were more energized when the footprints of the DAM source field lines were located in a stronger field region as can be seen from Figure 6 and 9. Hess et al. (2010) found a dependence of the electron energy on Io's longitude. We consider this may be due to the variation of the magnetic field intensity of the flux tubes connecting with Io. The larger the magnetic field intensity is, the stronger can be the interaction between Io and Jupiter, and the electrons would likely to be more energized. However, this may also be a result from the assumption used in the model. In Equation (2), the emission angle is a function of the combination of the electron velocity and the magnetic field strength at the top of ionosphere. For this event, the change of the average value of the derived emission angle was small. One can therefore expect that the electron energy derived from Wind observation will be lower than that derived from ST-B observation, since the DAM received by Wind came from a source region with a weaker magnetic field than that by ST-B. Further analysis based on the infrared and UV observations may be helpful to clarify this.
According to the Alfvén wing model of Io-Jupiter magnetic field interaction (Hill et al., 1983), the source field lines not corotating with Jupiter but moving slightly faster than Io is attributed to the presence of Io's ionosphere, of which the electrical conductance, ΣI, including the Pedersen and Hall conductance, is significant and can slow down Jupiter's field lines passing through it. Previous studies suggested that the conductance is about two orders higher than the Alfvén conductance, ΣA, outside Io's ionosphere (e.g., Saur et al., 1999; Kivelson et al., 2004). For such a high conductance, the field lines in the vicinity of Io would be dragged to almost corotate together with Io for a while. When the field lines are dragged by Io, Alfvén wings will form and result in the longitude difference between the source field lines and Io, which is called Mach angle and is typically less than 10° (refer to Fig. 10.3 in Hill et al. (1983)). For this event, our method shows that the tops of source field lines located ahead of Io with a lead angle from about 24° at Wind to about 42° at ST-B. This is different from that for the footprints of the source field lines, of which the lead angle is about 32° without significant change during the event.
Besides, at the earlier time, i.e., when the DAM emission lighted Wind spacecraft, the source field lines were within the Io orbit. We are not sure if this is true or resulted from some uncertainties in our method. If it is true, the energetic electrons should be injected and/or quickly transported into inner magnetic field lines through some process. A possible scenario is as follows. Io ejected plasmas into magnetosphere. These plasmas were trapped by and corotated with Jupiter's field lines, and stretched these field lines outward due to the centrifugal force. The stretched field lines began to reconnect and convect inward at a certain time and consequently generated energetic electrons. These electrons were further transported into the inner magnetosphere within the Io orbit through cross-field diffusion. However, since only the static magnetospheric field model is used in our method, we are unable to distinguish any detailed dynamic processes.
We acknowledge the use of the data from the radio instruments on board Wind, STEREO-A and B spacecraft. We thank the anonymous referees for many valuable comments. We are also grateful to Hao Cao from Harvard University for valuable discussions. The work is support by the Strategic Priority Program of the Chinese Academy of Sciences (Grant Nos. XDB41000000, XDA15017300) and the NSFC (Grant No.41842037 and 41574167). V. Krupar acknowledges support by an appointment to the NASA postdoctoral program at the NASA Goddard Space Flight Center administered by Universities Space Research Association under contract with NASA and the Czech Science Foundation grant 17-06818Y.
Bagenal, F. (1994). Empirical model of the Io plasma torus: Voyager measurements. J. Geophys. Res.: Space Phys., 99(A6), 11043–11062. https://doi.org/10.1029/93JA02908
|
Bolton, S. J., Lunine, J., Stevenson, D., Connerney, J. E. P., Levin, S., Owen, T. C., Bagenal, F., Gautier, D., Ingersoll, A. P., … Thorpe, R. (2017). The Juno mission. Space Sci. Rev., 213(1-4), 5–37. https://doi.org/10.1007/s11214-017-0429-6
|
Bonfond, B., Grodent, D., Gérard, J. C., Radioti, A., Saur, J., and Jacobsen, S. (2008). UV Io footprint leading spot: A key feature for understanding the UV Io footprint multiplicity?. Geophys. Res. Lett., 35(5), L05107. https://doi.org/10.1029/2007GL032418
|
Bonfond, B., Grodent, D., Gérard, J. C., Radioti, A., Dols, V., Delamere, P. A., and Clarke, J. T. (2009). The Io UV footprint: Location, inter-spot distances and tail vertical extent. J. Geophys. Res.: Space Phys., 114(A7), A07224. https://doi.org/10.1029/2009JA014312
|
Bougeret, J. L., Kaiser, M. L., Kellogg, P. J., Manning, R., Goetz, K., Monson, S. J., Monge, N., Friel, L., Meetre, C. A., … Hoang, S. S. (1995). WAVEs: The radio and plasma wave investigation on the wind spacecraft. Space Sci. Rev., 71(1-4), 231–263. https://doi.org/10.1007/BF00751331
|
Bougeret, J. L., Goetz, K., Kaiser, M. L., Bale, S. D., Kellogg, P. J., Maksimovic, M., Monge, N., Monson, S. J., Astier, P. L., … Zouganelis, I. (2008). S/WAVES: The radio and plasma wave investigation on the STEREO mission. Space Sci. Rev., 136(1-4), 487–528. https://doi.org/10.1007/s11214-007-9298-8
|
Carr, T. D., Desch, M. D., and Alexander, J. K. (1983). Phenomenology of magnetospheric radio emissions. In A. J. Dessler (Ed.), Physics of Jovian Magnetosphere (pp. 226–284). New York: Cambridge University Press.
|
Connerney, J. E. P. (1992). Doing more with Jupiter's magnetic field. In H. O. Rucker, et al. (Eds.), Planetary Radio Emissions III (pp. 13–33). Vienna: Austrian Academy of Science.
|
Connerney, J. E. P., Acuña, M. H., and Ness, N. F. (1981). Modeling the Jovian current sheet and inner magnetosphere. J. Geophys. Res.: Space Phys., 86(A10), 8370–8384. https://doi.org/10.1029/JA086iA10p08370
|
Connerney, J. E. P., Kotsiaros, S., Oliversen, R. J., Espley, J. R., Joergensen, J. L., Joergensen, P. S., Merayo, J. M. G., Herceg, M., Bloxham, J., …Levin, S. M. (2018). A new model of Jupiter's magnetic field from Juno's first nine orbits. Geophys. Res. Lett., 45(6), 2590–2596. https://doi.org/10.1002/2018GL077312
|
Cowley, S. W. H., and Bunce, E. J. (2001). Origin of the main auroral oval in Jupiter's coupled magnetosphere-ionosphere system. Planet. Space Sci., 49(10-11), 1067–1088. https://doi.org/10.1016/S0032-0633(00)00167-7
|
Dulk, G. A., Leblanc, Y., and Lecacheux, A. (1994). The complete polarization state of Io-related radio storms from Jupiter: A statistical study. Astron. Astrophys., 286, 683–700.
|
Giampieri, G., and Dougherty, M. K. (2004). Modelling of the ring current in Saturn’s magnetosphere. Ann. Geophys., 22(2), 653–659. https://doi.org/10.5194/angeo-22-653-2004
|
Grodent, D., Bonfond, B., Gérard, J. C., Radioti, A., Gustin, J., Clarke, J. T., Nichols, J., and Connerney, J. E. P. (2008). Auroral evidence of a localized magnetic anomaly in Jupiter's northern hemisphere. J. Geophys. Res.: Space Phys., 113(A9), A09201. https://doi.org/10.1029/2008JA013185
|
Hess, S., Zarka, P., and Mottez, F. (2007). Io-Jupiter interaction, millisecond bursts and field-aligned potentials. Planet. Space Sci., 55(1–2), 89–99. https://doi.org/10.1016/j.pss.2006.05.016
|
Hess, S., Cecconi, B., and Zarka, P. (2008). Modeling of Io-Jupiter decameter arcs, emission beaming and energy source. Geophys. Res. Lett., 35(13), L13107. https://doi.org/10.1029/2008GL033656
|
Hess, S. L. G., Pétin, A., Zarka, P., Bonfond, B., and Cecconi, B. (2010). Lead angles and emitting electron energies of Io-controlled decameter radio arcs. Planet. Space Sci., 58(10), 1188–1198. https://doi.org/10.1016/j.pss.2010.04.011
|
Hess, S. L. G., Echer, E., Zarka, P., Lamy, L., and Delamere, P. A. (2014). Multi-instrument study of the Jovian radio emissions triggered by solar wind shocks and inferred magnetospheric subcorotation rates. Planet. Space Sci., 99, 136–148. https://doi.org/10.1016/j.pss.2014.05.015
|
Hill, T. W., Dessler, A. J., and Goertz, C. K. (1983). Magnetospheric models. In A. J. Dessler (Ed.), Physics of the Jovian Magnetosphere (pp. 353–394). Cambridge: Cambridge University Press.
|
Imai, K., Wang, L. Y., and Can, T. D. (1997). Modeling Jupiter's decametric modulation lanes. J. Geophys. Res.: Space Phys., 102(A4), 7127–7136. https://doi.org/10.1029/96JA03960
|
Imai, K., Riihimaa, J. J., Reyes, F., and Carr, T. D. (2002). Measurement of Jupiter’s decametric radio source parameters by the modulation lane method. J. Geophys. Res.: Space Phys., 107(A6), SMP 12-1–SMP 12-11. https://doi.org/10.1029/2001JA007555
|
Jacobsen, S., Neubauer, F. M., Saur, J., and Schilling, N. (2007). Io's nonlinear MHD-wave field in the heterogeneous Jovian magnetosphere. Geophys. Res. Lett., 34(10), L10202. https://doi.org/10.1029/2006GL029187
|
Kaiser, M. L., Zarka, P., Kurth, W. S., Hospodarsky, G. B., and Gurnett, D. A. (2000). Cassini and Wind stereoscopic observations of Jovian nonthermal radio emissions: Measurement of beam widths. J. Geophys. Res.: Space Phys., 105(A7), 16053–16062. https://doi.org/10.1029/1999JA000414
|
Kivelson, M. G., and Southwood, D. J. (2005). Dynamical consequences of two modes of centrifugal instability in Jupiter's outer magnetosphere. J. Geophys. Res.: Space Phys., 110(A12), A12209. https://doi.org/10.1029/2005JA011176
|
Kivelson, M. G., Bagenal, F., Kurth, W. S., Neubauer, F. M., Paranicas, C., and Saur, J. (2004). Magnetospheric interactions with satellites. In F. Bagenal et al. (Ed.), Jupiter: The Planet, Satellites and Magnetosphere (pp. 513–536). Cambridge: Cambridge University Press.
|
Lamy, L., Zarka, P., Cecconi, B., Hess, S., and Prangé, R. (2008). Modeling of Saturn kilometric radiation arcs and equatorial shadow zone. J. Geophys. Res.: Space Phys., 113(A10), A10213. https://doi.org/10.1029/2008JA013464
|
Lamy, L., Prangé, R., Pryor, W., Gustin, J., Badman, S. V., Melin, H., Stallard, T., Mitchell, D. G., and Brandt, P. C. (2013). Multispectral simultaneous diagnosis of Saturn's aurorae throughout a planetary rotation. J. Geophys. Res.: Space Phys., 118(8), 4817–4843. https://doi.org/10.1002/jgra.50404
|
Lecacheux, A. (1988). Polarization aspects from planetary radio emissions. In H. O. Rucker, et al. (Eds.), Planetary Radio Emissions II (pp. 311–326). Vienna: Austrian Academy of Science.
|
Panchenko, M., and Rucker, H. O. (2016). Estimation of emission cone wall thickness of Jupiter's decametric radio emission using stereoscopic STEREO/WAVES observations. Astron. Astrophys., 596, A18. https://doi.org/10.1051/0004-6361/201527397
|
Queinnec, J., and Zarka, P. (1998). Io-controlled decameter arcs and Io-Jupiter interaction. J. Geophys. Res.: Space Phys., 103(A11), 26649–26666. https://doi.org/10.1029/98JA02435
|
Ramachandran, P., and Varoquaux, G. (2011). Mayavi: 3D visualization of scientific data. Comput. Sci. Eng., 13(2), 40–51. https://doi.org/10.1109/MCSE.2011.35
|
Riihimaa, J. J. (1968). Structured events in the dynamic spectra of Jupiter’s decametric radio emission. Astron. J., 73, 265–270. https://doi.org/10.1086/110627
|
Riihimaa, J. J. (1978). L-bursts in Jupiter’s decametric radio spectra. Astrophys. Space Sci., 56(2), 503–518. https://doi.org/10.1007/BF01879581
|
Saur, J., Neubauer, F. M., Strobel, D. F., and Summers, M. E. (1999). Three-dimensional plasma simulation of Io's interaction with the Io plasma torus: Asymmetric plasma flow. J. Geophys. Res.: Space Phys., 104(A11), 25105–25126. https://doi.org/10.1029/1999JA900304
|
Schneider, N. M., and Bagenal, F. (2007). Io's neutral clouds, plasma torus, magnetospheric interactions. In R. M. C. Lopes, et al. (Eds.), Io after Galileo (pp. 265–286). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-48841-5_11
|
Treumann, R. A. (2006). The electron-cyclotron maser for astrophysical application. Astron. Astrophys. Rev., 13(4), 229–315. https://doi.org/10.1007/s00159-006-0001-y
|
Waite, J. H. Jr., Clarke, J. T., Cravens, T. E., and Hammond, C. M. (1988). The Jovian aurora: Electron or ion precipitation?. J. Geophys. Res.: Space Phys., 93(A7), 7244–7250. https://doi.org/10.1029/JA093iA07p07244
|
Wu, C. S., and Lee, L. C. (1979). A theory of terrestrial kilometric radiation. Astrophys. J., 230, 621–626. https://doi.org/10.1086/157120
|
Zarka, P. (1998). Auroral radio emissions at the outer planets: Observations and theories. J. Geophys. Res.: Plants, 103(E9), 20159–20194. https://doi.org/10.1029/98JE01323
|
Zarka, P., Farges, T., Ryabov, B. P., Abada-Simon, M., and Denis, L. (1996). A scenario for Jovian S-bursts. Geophys. Res. Lett., 23(2), 125–128. https://doi.org/10.1029/95GL03780
|
Zheng Xiang, BinBin Ni, YangXiZi Liu, XuDong Gu, Song Fu, Wei Xu, Xing Cao, Xin Ma, DeYu Guo, JunHu Dong, JingLe Hu. 2023: Modeling the energetic electron fluxes in the inner radiation belt based on a drift-source model. Earth and Planetary Physics, 7(1): 100-108. DOI: 10.26464/epp2023012 | |
QingHua Zhou, YunXiang Chen, FuLiang Xiao, Sai Zhang, Si Liu, Chang Yang, YiHua He, ZhongLei Gao. 2022: A machine-learning-based electron density (MLED) model in the inner magnetosphere. Earth and Planetary Physics, 6(4): 350-358. DOI: 10.26464/epp2022036 | |
YuMing Wang, RuoBing Zheng, XianZhe Jia, ChuanBing Wang, Shui Wang, V. Krupar. 2022: Reply to Comment by Lamy et al. on “Locating the source field lines of Jovian decametric radio emissions”. Earth and Planetary Physics, 6(1): 13-17. DOI: 10.26464/epp2022019 | |
Laurent Lamy, Baptiste Cecconi, Stéphane Aicardi, C. K. Louis. 2022: Comment on “Locating the source field lines of Jovian decametric radio emissions” by YuMing Wang et al.. Earth and Planetary Physics, 6(1): 10-12. DOI: 10.26464/epp2022018 | |
YuGuang Ye, Hong Zou, Qiu-Gang Zong, HongFei Chen, JiQing Zou, WeiHong Shi, XiangQian Yu, WeiYing Zhong, YongFu Wang, YiXin Hao, ZhiYang Liu, XiangHong Jia, Bo Wang, XiaoPing Yang, XiaoYun Hao. 2021: Energetic electron detection packages on board Chinese navigation satellites in MEO. Earth and Planetary Physics, 5(2): 158-179. DOI: 10.26464/epp2021021 | |
Zhi Li, QuanMing Lu, RongSheng Wang, XinLiang Gao, HuaYue Chen. 2019: In situ evidence of resonant interactions between energetic electrons and whistler waves in magnetopause reconnection. Earth and Planetary Physics, 3(6): 467-473. DOI: 10.26464/epp2019048 | |
YaLu Wang, XueMin Zhang, XuHui Shen. 2018: A study on the energetic electron precipitation observed by CSES. Earth and Planetary Physics, 2(6): 538-547. DOI: 10.26464/epp2018052 | |
Jing Huang, XuDong Gu, BinBin Ni, Qiong Luo, Song Fu, Zheng Xiang, WenXun Zhang. 2018: Importance of electron distribution profiles to chorus wave driven evolution of Jovian radiation belt electrons. Earth and Planetary Physics, 2(5): 371-383. DOI: 10.26464/epp2018035 | |
YuXian Wang, XiaoCheng Guo, BinBin Tang, WenYa Li, Chi Wang. 2018: Modeling the Jovian magnetosphere under an antiparallel interplanetary magnetic field from a global MHD simulation. Earth and Planetary Physics, 2(4): 303-309. DOI: 10.26464/epp2018028 | |
BinBin Ni, Jing Huang, YaSong Ge, Jun Cui, Yong Wei, XuDong Gu, Song Fu, Zheng Xiang, ZhengYu Zhao. 2018: Radiation belt electron scattering by whistler-mode chorus in the Jovian magnetosphere: Importance of ambient and wave parameters. Earth and Planetary Physics, 2(1): 1-14. DOI: 10.26464/epp2018001 |
Ωcc | ΩIo | ΩIFP | LAa | Ωfp | Ωtop | Distance/RJ | EAb/(∘)\$ | Energy/keV |
0.255ΩJ | 0.23ΩJ | 0.55ΩJ | 32∘ | 0.55ΩJ | 0.45ΩJ | ∼(2.5+1.5−0.5−5.5+2−1.5) | ∼(63.5+9.5−8.5−61.5+10−6.5) | ∼(12.5+3−5−18+6−9) |
a Lead angle of the footprints of the field lines. b Emission cone angle. |