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. 2024 Nov 27;129(12):e2024JA032940. doi: 10.1029/2024JA032940

Derivations of the Total Radiation Belt Electron Content

Jared C Pitzel 1,, Christopher M Cully 1, Jean‐Francois Ripoll 2,3, Vivien Loridan 2,4, Chia‐Lin Huang 5, Harlan E Spence 5, Geoff D Reeves 6, Kyle R Murphy 7
PMCID: PMC11602195  PMID: 39610804

Abstract

We present multiple derivations of the Total Radiation Belt Electron Content (TRBEC), an indicator of the global number of electrons that instantaneously occupy the radiation belts. Derived from electron flux measurements, the TRBEC reduces the spatial information into a scalar quantity that concisely describes global aspects of the system. This index provides a simple, global, and long‐term assessment of the radiation belts that enables systematic analysis. In this work, we examine the TRBEC using the adiabatic invariants of μ,K,L which has been used in previous articles as this coordinate system removes reversible adiabatic effects. We then introduce a new expression to compute the TRBEC using the non‐adiabatic coordinates of E,αeq,L, relevant in the contexts of energetic electron precipitation, chorus, and hiss scattering where adiabatic invariant quantities are no longer conserved. From both expressions of the TRBEC we demonstrate that an erroneous factor of (2π)3 that appeared in previous works using the adiabatic derivation led to an overestimate of the reported electron populations. In addition, we quantify electron loss in the outer radiation belt 3.5<L<5 via a case study using the Van Allen Probes data over a 20‐day period from March 2013 specifying particle populations both in terms of the aforementioned adiabatic and non‐adiabatic variables. The total number of electrons in the outer radiation belt reached upwards of 1028 electrons at the peak of the storm, a rest mass of roughly 10 g.

Keywords: radiation belts, magnetospheric dynamics, geomagnetic storms, energetic particles, radiation belt loss, Van Allen probes

Key Points

  • We provide full derivations for Total Radiation Belt Electron Content (TRBEC) using both adiabatic and non‐adiabatic coordinates

  • The TRBEC provides a simple, global, and long‐term assessment of the radiation belts that enables systematic analysis

  • In comparison to past results that describe the TRBEC using adiabatic invariants, we conclude the radiation belt content has been overestimated by a factor of (2π)3

1. Introduction

In‐situ measurements of particle fluxes have been, and will continue to be, a crucial method to observe particles in the radiation belts. The deployment of Geiger‐Müller tubes on board the Sputnik 2 and Explorer 1 satellites marked the first observations of particles in the near‐Earth environment and led to the discovery of the Van Allen radiation belts (Van Allen, 1959). Continual advancements in instrumentation have allowed for increased particle energy and pitch angle resolutions, giving insight into the mechanisms that affect particle populations and dynamics. Trapped populations in the inner radiation belt are relatively stable; however, in the outer belt particle fluxes fluctuate more readily due to the competition between the acceleration and loss depending on solar activity, geomagnetic conditions, and other factors (e.g., Millan & Baker, 2012). For instance, the relative level of particle fluxes following geomagnetic storms in this region is difficult to predict as electron fluxes have been observed to rise, fall, or remain in a similar proportion (Reeves et al., 2003; Turner et al., 2015), although recent results using integrated adiabatic measures reveal more repeatable patterns (Murphy et al., 2018). Many processes contribute to the acceleration and loss of particles in the radiation belts, leading to questions about how the source and loss processes affect the total number of particles (Ripoll et al., 2020). The Total Radiation Belt Electron Content (TRBEC) provides a means to explore this and related questions through a quantitative accounting of the overall number of particles in a given volume of phase space.

By name, the Radiation Belt Content (RBC) was first presented by Baker et al. (2004), itself an extension of earlier work completed by Baker et al. (2001). The RBC was developed in these studies to investigate the variability of highly energetic electrons using a single parameter computed from data gathered by the low Earth orbiting Solar Anomalous and Magnetospheric Particle Explorer (SAMPEX) spacecraft (Baker et al., 1993). The number of electrons, N, was approximated as N=ηV where the average density of electrons, η, was determined using omnidirectional flux measurements and V is the volume contained by the radiation belts (Baker et al., 2004). Since many of the trapped orbits are not observable from Low Earth Orbit (LEO), accurately quantifying the radiation belts in their entirety is challenging with LEO satellites (Pierrard, Botek, et al., 2021; Pierrard, Ripoll, et al., 2021). The RBC was then termed the Total Radiation Belt Electron Content by Selesnick (2006) and subsequent work by Selesnick and Kanekal (2009), who focused on storm time source and loss rates, expanded on the previous methodology to account for adiabatic effects. Their end product was presented as the number of electrons per unit of energy and is the first account in which the TRBEC was determined by integrating a measured electron phase space density (Selesnick & Kanekal, 2009). Separately, Zhang et al. (2017) computed the total electron content to estimate electron loss during precipitation events using data from the Van Allen Probes Magnetic Electron Ion Spectrometer (MagEIS) (Blake et al., 2013; Spence et al., 2013) instruments. This case study complemented their work on reporting characteristics of radiation belts particles from other satellite and balloon observations (Zhang et al., 2017). The methodology stemmed from proton ring current studies by Williams et al. (1976) and subsequent refinements by Zhao et al. (2015) that derived an equation for the total kinetic energy within a flux tube. Zhang et al. (2017) utilized this flux tube expression to compute the total electron content of a fixed energy range by summing over all of the flux tubes within a given L‐shell range in 0.1RE increments.

An alternative TRBEC expression was presented in the work of Forsyth et al. (2016) that used MagEIS data to study the effects of substorms on the electron content within the radiation belts. The TRBEC expression provided in Forsyth et al. (2016) used the adiabatic invariants μ, K and L so that the number of electrons computed would be unaffected by slow adiabatic changes. This adiabatic description of the TRBEC was also utilized by Murphy et al. (2018) and Duderstadt et al. (2021) to complete statistical studies using Van Allen Probes data and to quantify the amount of depletion during select intervals.

In this work, we combine the formalism used to derive the adiabatic TRBEC with the coordinate system of the earlier works to derive and provide a new expression for the TRBEC that is a function of electron kinetic energies, equatorial pitch angles, and drift shells. We also complete a separate derivation for the TRBEC in adiabatic coordinates which is absent from the primary source material where it is presented or used (Duderstadt et al., 2021; Forsyth et al., 2016; Murphy et al., 2018). Moreover, from our derivations and auxiliary comparisons, we demonstrate that the published results using adiabatic invariants overestimate the TRBEC by a factor of (2π)3248. The previous studies mainly focus on relative changes of the TRBEC, and their results are essentially unaffected by this correction. However, the correct normalization becomes increasingly important for studies that rely on reporting the TRBEC directly. From the TRBEC equations, in both coordinate frames, we present considerations for computing the TRBEC numerically and, then, apply these methods to a case study utilizing Van Allen Probes data for a quiet geomagnetic interval in early March of 2013.

2. Definitions and Derivations

2.1. First Principles Approach in Position‐Momentum Phase Space

We begin by defining the Phase Space Density (PSD), f, as

f=jp2 (1)

where j represents the differential particle flux and p is the relativistic momentum (Roederer & Zhang, 2014). As a function of the kinetic energy, E, the momentum is

p=E2+2Em0c2c (2)

where m0 is the electron rest mass and c is the speed of light in a vacuum. The PSD is then rewritten as

f=12.99792458×1010jE2+2Em0c2cMeVcm3. (3)

Given j is provided in units of #/cm2sMeVsr, along with E and m0 in units of MeV and MeV/c2 respectively, then the resulting units for the PSD are given in the brackets. Taylor et al. (2004) discuss the preferred units for the PSD and provide conversions between alternative units.

The Total Radiation Belt Electron Content (TRBEC) is defined as the total number of particles in a given volume of phase space. Denoting a generalized coordinate and momentum conjugate pair, (q,p)=q1,q2,q3,p1,p2,p3, the TRBEC in position‐momentum phase space is

N=qpf(q,p)d3qd3p (4)

where the integration limits are used to determine the region of phase space and, hence, a particular particle population and region within the radiation belts. In principle, the TRBEC N can be calculated over any well‐defined phase space volume by using Equation 4. Practically, a direct estimate for the six‐dimensional integral would require a prohibitively large number of measurements, so the TRBEC concept becomes more useful if we can apply some assumptions to reduce its dimensionality.

Under the restrictive assumption of a dipole magnetic field, we could represent momentum space in terms of E, αeq, and ϕp (kinetic energy, equatorial pitch angle, and gyro phase angle) and position space in terms of L, s, and ϕq (distance from the geomagnetic center to the equatorial crossing of the field line, distance along the field line, and azimuthal angle). We could then integrate analytically over ϕp,ϕq and s to reduce the initially six‐dimensional integral to an integral over E,αeq,L, which could then be estimated with a practical number of measurements.

Under less restrictive assumptions in a non‐dipole model field, integrating over s and ϕq would be numerically cumbersome. Rather than performing that calculation, we instead imagine adiabatically “turning off” the non‐dipole contributions to the real field, and then evaluate N in the resulting dipole field. The adiabatic transformation takes a particle phase space density observed at (Esat,αsat,x) and maps it to a phase space position in the dipole field E,αeq,L, where L is described by Roederer (1970) (Roederer & Lejosne, 2018; Roederer & Zhang, 2014) and αeq and E can be calculated using conservation of the first and second adiabatic invariants (Schulz & Lanzerotti, 1974). The total number of particles N is the same in the transformed dipole field as in the original non‐dipole field, making for a well‐defined and useful simplification, although we note that boundaries in L are not strictly spatial boundaries in the real (non‐dipolar) space.

The goal is now to derive an expression for the TRBEC explicitly in terms of E, αeq, and L by integrating in a dipole field. We initially opt to parameterize the six‐dimensional integral of Equation 4 using position coordinates of L, s, and ϕq, and momentum coordinates of the electron total linear momentum, p, pitch angle, α, and gyro phase angle, ϕp. The coordinates of the canonical momentum form a spherical coordinate system resulting in a volume element of

d3p=(dp)pdϕppsin(α)dα=p2sin(α)dpdϕpdα. (5)

whereas the corresponding volume element of the generalized coordinates is

d3q=A(s)AeqdsREdLRELdϕq=A(s)AeqRE2LdsdLdϕq. (6)

In Equation 6, A(s)/Aeq is the ratio between the cross‐section area of a flux tube at a position s compared to the area at the equator, where the path length is zero (s=0), and is required to account for the shape of flux tubes in a dipole magnetic field. Provided magnetic flux is conserved along field lines,

A(s)Aeq=BeqB(s) (7)

so Equation 6 is rewritten as

d3q=BeqB(s)RE2LdsdLdϕq. (8)

Substituting Equations 5 and 8 into the TRBEC from Equation 4 and integrating both ϕp and ϕq from 0 to 2π gives

N=4π2RE2spαLfs,p,α,LBeqB(s)p2sin(α)LdsdpdαdL. (9)

For now the integration bounds will be left undefined, but will later be restricted so that only trapped particles in the radiation belts are accounted for.

The remaining steps in this TRBEC derivation are to change coordinates to the desired variables. This is completed by converting the momentum to an equivalent energy, the local to equatorial pitch angle, αeq, and the parameterization for the distance along a field line from s to the geomagnetic latitude. By Liouville's theorem, the density of particles in phase space is constant so the PSD at any position along a field to the PSD at a point on the equatorial plane is related via

fs,p,α,L=fs=0,p,αeq,L. (10)

Differentiating the relation between a particle's momentum and its equivalent energy from Equation 2 the relation between dp and dE is

pdp=γm0dE (11)

where

γ=Em0c2+1 (12)

is the Lorentz factor. By the conservation of the first adiabatic invariant,

μ=E2+2Em0c2sin2(α)2m0c2B, (13)

where B is the local magnetic field, it can be shown that for an electron with a set energy

sin(α)=sinαeqB(s)Beq. (14)

Differentiating Equation 14 above yields the following relation between dα and dαeq.

cos(α)dαdαeq=cosαeqB(s)Beq (15)

Substituting the PSD relation from Equation 10 and the coordinate changes from Equations 11 and 15 into the TRBEC from Equation 9 gives

N=4π2RE2m0sEαeqLfE,αeq,LγpBeqB(s)sin(α)cosαeqcos(α)LdsdEdαeqdL=4π2RE2m0sEαeqLfE,αeq,Lγpsinαeqcosαeq1sin2αeqB(s)BeqLdsdEdαeqdL (16)

where the second equality first expands cos(α) using the Pythagorean identity and then substitutes sin(α) from Equation 14.

The integration bounds over the field line path s and equatorial pitch angle αeq are now specified to limit the integration to trapped electrons in the radiation belts. The endpoints for s occur at the mirror points in the northern and southern hemispheres, +sm and sm, which in turn depend on αeq. The domain for αeq includes all angles outside the loss cone, from +αeq,LC to αeq,LC, where the loss cone edge is calculated at 100 km. With these changes Equation 16 becomes

N=4π2RE2m0Eαeq=αeq,LC+αeq,LCs=sm+smLfE,αeq,Lγpsinαeqcosαeq1sin2αeqB(s)BeqLdsdEdαeqdL (17)

due to the symmetry about the equatorial plane.

For the final variable change for this derivation, the path described by the line element will be replaced with the geomagnetic latitude, λ. The distance element of a dipole field is related to the geomagnetic latitude by

ds=REL1+3sin2(λ)cos(λ)dλ (18)

and in addition,

B(λ)Beq=1+3sin2(λ)cos6(λ) (19)

shows the ratio between the local magnetic field strength parameterized in terms of λ and on the equatorial plane (Schulz & Lanzerotti, 1974; Walt, 1994). Substituting Equations 18 and 19 into Equation 17 gives

N=16π2RE3m0Eαeq=αeq,LCπ/2λ=0λmLfE,αeq,LγpL2sinαeqcosαeq1sin2αeq1+3sin2(λ)cos6(λ)1+3sin2(λ)cos(λ)dEdαeqdλdL. (20)

For notational convenience, the latitude and equatorial pitch angle dependencies of Equation 20 are condensed into a single function that we denote as Wαeq.

Wαeq=sinαeqcosαeq0λm1+3sin2(λ)cos(λ)1sin2αeq1+3sin2(λ)cos6(λ)dλ (21)

The upper integration bound of the latitude at a mirror point can be computed using the following relation to the equatorial pitch angle in a dipole magnetic field.

1sin2αeq=1+3sin2λmcos6λm (22)

The latitude‐dependent terms of Wαeq are denoted as Ty=sinαeq in Schulz and Lanzerotti (1974), accompanied by a numerical approximation for the function. The significance of T(y) is that it describes the full helical trajectory of the bounce path and is therefore proportional to the bounce period (Schulz & Lanzerotti, 1974). Referring to Wαeq, a special case is when it is precisely zero, occurring at αeq=0 and π/2 corresponding to when either the volume in momentum phase space and position phase space is zero. Although there is no closed‐form solution to the Wαeq or Tαeq integrals (Schulz & Lanzerotti, 1974; Walt, 1994), an interesting finding is that the numeric result of Wαeq integrated between λm=0 to π/2 is approximately 0.4571. Within error, this corresponds to the ratio between the volume contained within a magnetic dipole shell and its enclosing sphere, exactly 16/35 as shown in Appendix A.

Returning to the TRBEC derivation, using Wαeq from Equation 21 simplifies Equation 20 to

N=16π2RE2m0EminEmaxαeq=αeq,LCπ/2LminLmaxfE,αeq,LγpL2WαeqdEdαeqdL (23)

which is our final expression of the TRBEC in E,αeq,L coordinates. We note again that both γ and p are functions of E through Equations 2 and 12. The integration bounds over αeq ensure all trapped particles are counted and the maximum and minimum bounds of energy and L‐shell can be chosen to select a given particle population.

2.2. Coordinate Transformation to Adiabatic Invariants

Adiabatic invariants, such as μ,K,L, are desirable coordinates to specify a particle population for the TRBEC as the boundaries are unaffected by adiabatic changes. However, integrating the PSD over a constant range of adiabatic invariants is not simple using the TRBEC defined in terms of the generalized coordinates as shown in Equation 4. This would define an irregular shape in the (q,p) phase space so it is advantageous to derive a separate expression of the TRBEC that specifies a region in phase space comprised of adiabatic invariants.

To define the TRBEC using adiabatic invariants we begin by performing a volume‐preserving transformation in phase space from (q,p) to a new set of canonical variables. Using the action‐angle variables of (ω,J) as the target frame the frequencies and constants of the motion are determined without knowledge of individual particle paths. The action variables Ji are the adiabatic invariants of the system where J1, J2, and J3 are associated with the gyro, bounce, and drift motions respectively. They are approximated from the generalized Poincaré invariants, Ji, that are defined as the following integrals over one complete period of qi (Northrop, 1963).

JiJi=pidqi (24)

The function that generates the canonical transformation from (q,p) to (ω,J) is Hamilton's characteristic function, W=W(q,J), and, from this, the transformation equations are

pi=W(q,J)qi (25)

and

ωi=W(q,J)Ji (26)

with the latter being the definition of the angle variable (e.g., Goldstein et al., 2008). From the definition of the action variables, shown in Equation 24, and the transformation equations, Equations 25 and 26, it follows that over a single period of a given motion, the change in the angle variable of that motion is by unity (e.g., Chow, 2013; Dittrich & Reuter, 2017).

dωiqj=ωiqjdqj=2W(q,J)qjJidqj=JiW(q,J)qjdqj=Jipjdqj=δij
dωiqi=1 (27)

From the definition of the TRBEC, the corresponding expression for the TRBEC using the action‐angle variables (ω,J) is

N=ωJf(J)d3ωd3J=Jf(J)d3J (28)

by Equation 27 as it is assumed that the PSD is only dependent on the action variables, f=f(J).

The choice to use Ji, as defined in Equation 24, follows the action‐angle variable notation presented by many authors (e.g., Baumjohann & Treumann, 1997; Chow, 2013; Dittrich & Reuter, 2017; Fitzpatrick, 2015; Greiner, 2004; Hazeltine & Waelbroeck, 2004; Kivelson & Russell, 1995; Northrop, 1963; Roederer & Zhang, 2014; Spiegel & Proykova, 1980; Walt, 1994). Other authors opt to define the action variable as Ii=Ji/(2π) (e.g., Arnold, 1997; Landau & Lifshits, 1976; Woodhouse, 2009). Some texts discuss both of these definitions (e.g., Cline, 2018; Goldstein et al., 2008; Schulz & Lanzerotti, 1974). The choice of the action variable does matter as different definitions affect the normalization of the associated angle variable. For example, the conjugate angle variable to Ii, φi, is incremented by 2π (e.g., Arnold, 1997) over a complete motion cycle instead of 1 as is the case with ωi shown in Equation 27. However, consistently defined action‐angle variables do not affect the outcome of the TRBEC as a change in the definition of the action variables is offset by the subsequent change of the closed loop integral over the associated angle variable. For example, using the (φ,I) pair gives

N=φIf(I)d3φd3I=8π3If(I)d3I (29)

as an alternative expression of the TRBEC which is consistent with Equation 28.

At this stage, a final transformation is required to write the TRBEC using other preferred invariant quantities instead of the action variables J1, J2, and J3 (e.g., Schulz & Lanzerotti, 1974; Walt, 1994). Specifically, we use μ as the first adiabatic invariant and K (defined below) and L as the second and third respectively. To transform to the μ,K,L frame we perform a change of variables on Equation 28 using the Jacobian determinant, a matrix with entries of Jij=fi/xj that describes the transforms between variables xi and yi that are related by a set of equations of the form yi=fi(x). The equations that relate the J1,J2,J3 frame in terms of the μ,K,L are computed by evaluating the integrals of the three Poincaré invariants (Schulz & Lanzerotti, 1974). The associated action variables for the gyro and bounce motions can be evaluated as

J1=2πm0qμ, (30)

and

J2=8m0μK, (31)

where

K=s=sm+smBmB(s)ds (32)

parameterizes the bounce path using the path length variable s. The location of the two distinct mirror points are denoted by sm and +sm in Equation 32 where B(s) and Bm represent the magnetic field strength at an arbitrary position along the bounce path and a mirror point. The associated adiabatic invariant of the drift motion is

J3=2πqμEREL (33)

where L is the drift shell parameter and

μE=BERE3 (34)

is a constant representing the magnetic moment of the Earth where BE is the magnetic field strength on the surface at the equator (0.311653G) and RE is the radius of Earth (6371km) (Schulz & Lanzerotti, 1974).

The Jacobian of the mapping between these two sets of coordinates is then

Jμ,K,L=82π2μEm03/2REμL2 (35)

using Equations (30), (31) and 33 as the transformation equations. Completing the change of variables to the TRBEC expression from Equation 28 using the Jacobian above gives

N=μKLfμ,K,LJJ1,J2,J3;μ,K,LdμdKdL=82π2m03/2μEREμminμmaxK=0KLCLminLmaxfμ,K,LμL2dμdKdL (36)

which completes the abridged derivation in adiabatic coordinates. The intermediate steps of the mathematical derivation are available in Loridan (2018) and Pitzel (2022). In Equation 36, the range of μ and L can be chosen freely to specify an electron population although to consider all trapped particle trajectories the integration bounds of K in Equation 36 must encompass particles whose mirror points lie between the equatorial plane (K=0) and the loss cone boundary K=KLC.

2.3. Normalization Verification

To verify the TRBEC expressed in Equation 36 we perform another change of variables from the adiabatic variables to the energy and equatorial pitch angle frame to retrieve Equation 23 with consistent normalization. As before, for the transformation we require each Ji to be expressed in terms of E, αeq, and L. Substituting Equation 13 into Equation 30

J1=πE2+2EE0sin2αeqL3qc2BE. (37)

In a similar manner, Equation 31 becomes

J2=4RELE2+2EE0c0λm1sin2αeq1+3sin2(λ)cos6(λ)1+3sin2(λ)cos(λ)dλ (38)

from expanding K from Equation 32 using the magnetic latitude to parameterize the bounce path assuming a dipole magnetic field. Equations 37 and 38 combined with Equation 33 then define the coordinate transformation between J1,J2,J3 and E,αeq,L. The associated Jacobian is

JE,αeq,L=16π2RE3L2m0γpWαeq (39)

where both γ and p are functions of energy as previously defined.

The expression for the TRBEC in the E,αeq,L coordinate frame is then

N=EαeqLfE,αeq,LJJ1,J2,J3;E,αeq,LdEdαeqdL=16π2RE3m0EminEmaxαeq=αeq,LCπ/2LminLmaxfE,αeq,LγpWαeqL2dEdαeqdL (40)

which is identical to Equation 23. The intermediate steps are completed in full in Pitzel (2022). Similar to Equation 36, chosen ranges of E and L in Equation 40 define a particle population for study while the stated range over the equatorial pitch angle limits the integration to all trapped particle paths. In this instance the latter restriction follows from the Jacobean transformations being one‐to‐one so the K=0 to KLC integral bounds directly corresponds to αeq=αeq,LC to π/2 without further manipulation.

2.4. Normalization Comparisons

In regards to the TRBEC in non‐adiabatic coordinates, our Equation 23 is consistent with previous TRBEC works by Selesnick and Kanekal (2009) and Zhang et al. (2017). Detailed comparisons with these works are given in Appendix B. Conversely, our TRBEC derivation in adiabatic coordinates, Equation 36, differs from the recent literature relying on the adiabatic formulation; with all else equal, a factor of (2π)3 appears in the equations presented in Forsyth et al. (2016) and Murphy et al. (2018), and used by Duderstadt et al. (2021), that is absent from non‐adiabatic TRBEC in Equation 23.

Since our adiabatic TRBEC result is not entirely consistent with the literature, we present an additional verification test in this section. To verify our normalization of the TRBEC equations in the previous sections, we compute the Phase Space Volume (PSV), the domain of integration, as it can readily be computed using Equation 23 and also independently.

2.4.1. Expected Phase Space Volume

Geometrically, the expected six‐dimensional PSV is the product of the two three‐dimensional phase spaces. Using the canonical momentum and generalized position, the PSV can be expressed as

VPS=qpd3qd3p=VqVp (41)

where Vq and Vp are the volumes contained in the q and p phase spaces respectively.

2.4.2. PSV Derived From the TRBEC

To derive the PSV from TRBEC the PSD is set to a unitless constant of one. For example, using the TRBEC expression in (q,p) from Equation 4 with f=1 leads directly to the result of Equation 41 above. Given that the normalization between Equations 23 and 36 is consistent from Section 2.3 we only need to compute the PSV from one of them. We opt to use Equation 23 as the final result is simpler to interpret in physical space compared to adiabatic space.

From Equation 23, with f=1, we carry out the integration over E and L between finite minimum and maximum bounds. In αeq, the integration is completed between 0 and π/2 which is necessary to account for the phase space of all particles.

VPS=16π2RE3m0EminEmaxαeq=0π/2LminLmaxL2γpWαeqdEdαeqdL (42)

With the PSD set as a constant, Equation 42 is separable and can be evaluated further.

VPS=16π2RE3EminEmaxγm0pdEαeq=0π/2WαeqdαeqLminLmaxL2dL (43)

To obtain a result for the PSV in the desired momentum‐position space the integral in energy in Equation 43 is converted to an equivalent one in momentum by Equation 11. The function Wαeq, Equation 21, integrated numerically from αeq=0 to π/2 is approximately 0.4571. Evaluating the remaining integrals, the PSV reduces as

VPS=16π2RE30.4571pminpmaxp2dpLminLmaxL2dL=16π2RE30.457113p3pminpmax13L3LminLmax=43πpmax3pmin30.457143πRE3((Lmax)3(Lmin)3). (44)

Equation 44 is equivalent to the expected result from Equation 41. The left term of the final equality of Equation 44 shows the volume in momentum space is the volume between two concentric spheres determined by the minimum and maximum integration bounds. Similarly, the right terms correspond to the volume in position space which is the volume between two concentric dipole shells determined by the integration limits over L. The factor of 0.4571 accounts for the difference between the volume contained within a dipole compared to that of an enclosing sphere which is an approximation of the exact ratio of 1635 (cf. Appendix A).

The equivalence of the PSV computed with the TRBEC in non‐adiabatic coordinate with f=1, in comparison to the expected result, Equation 41, confirms that the proper normalization of the TRBEC is as it appears in Equation 23. Furthermore, given that Equations 23 and 36 are consistent with one another it follows that Equation 36 does not require a correction of (2π)3 as used in the aforementioned literature.

3. Estimating the TRBEC From Van Allen Probes Observations

We now briefly outline important considerations for the numeric computation of the TRBEC and then demonstrate these methods using data from the Van Allen Probes Magnetic Electron Ion Spectrometer (MagEIS) instrument (Blake et al., 2013) in the Energetic particle, Composition, and Thermal plasma (ECT) instrument suite (Spence et al., 2013). The identical satellites, in operation from 2012 to 2019, were placed on similar highly elliptical and low inclination orbits (1.1 by 5.8RE at 10°) (Mauk et al., 2013) which situated MagEIS to measure the bulk of both seed and relativistic electrons, between 20 keV and 4.8 MeV (Blake et al., 2013). To estimate the TRBEC, we converted the measured electron flux to a PSD in the desired coordinate frame, followed by estimating the unmeasured populations (noted below), and then computed the TRBEC integral itself for each 4.5 hr half orbit (i.e., apogee to perigee or perigee to apogee) of the Van Allen Probes. We used L and K values computed using the Tsyganenko and Sitnov (2005) magnetic field model. The MagEIS data used in this work is presented as a pitch angle resolved background corrected flux (Claudepierre et al., 2019). In this coordinate frame, it is not computationally intensive to compute the PSD for the non‐adiabatic TRBEC since the corresponding PSD is kept in the same reference frame. Conversely, obtaining the PSD in adiabatic coordinates is not as straightforward (Boyd, 2016; Hartley & Denton, 2014) as a conversion from jE,α,L to jμ,K,L is required before invoking Equation 1.

3.1. Unmeasured Particle Populations

The Van Allen Probes orbits coupled with MagEIS's instrument capabilities allowed for measurements over a wide range of the electron pitch angle distribution, but a small fraction of electron populations that pertain to the TRBEC are left unobserved. We must estimate three particle populations, at the boundaries of the TRBEC integration bounds, to complete the numerical integration of either Equation 23 or Equation 36. The following electron populations must be estimated: (a) equatorially mirroring electrons, (b) electrons with small pitch angles that mirror at the loss cone boundary, and (c) electrons with relatively large μ and K (i.e., ultra‐relativistic electrons). We note that all of these computations are completed for a comparably small portion of the TRBEC, as the first two populations listed represent a relatively small portion of phase space and the third has a negligible phase space density.

The Van Allen Probes primarily operate slightly off the equatorial plane, and electrons that mirror at lower inclinations cannot be observed. We approximate this unmeasured population by assuming that the PSD at the equator is constant in pitch angle between 90° (equatorially mirroring) and αloc, the equatorial pitch angle of a particle that mirrors at the satellite location. Since αloc is close to 90° for the Van Allen Probes orbit, the unmeasured volume of phase space is relatively small and the possible error introduced by this approximation is limited for reasonable particle distributions. If we instead assume zero PSD for the unmeasured population, it typically reduces the TRBEC values by a few percent.

The second unmeasured population that we must estimate are electrons inside and near the loss cone, since the pitch angle channels of MagEIS are not always sufficient to resolve the loss cone. When the loss cone is smaller than the smallest pitch angle bin of MagEIS we assume that the PSD is constant out to the loss cone. This will slightly overestimate the population, however, determining the size of the loss cone is vital to the TRBEC computation and we stress that this region in phase space is relatively small. In the E,αeq,L and μ,K,L coordinate frames respectively, the loss cones size is dependent on the drift shell as

αeq,LCsin11+32hREL3/243L1+hRE1/4, (45)

where the altitude h is taken as 100 km, and

KLC2.110L2.267. (46)

For the second adiabatic invariant, the relationship with L is linear and so we have opted for a numerical approximation by directly integrating Equation 32 rather than an equivalent analytical expression (Pitzel, 2022).

The final population we consider are electrons with relatively large μ and K values. This particle population is encompassed by the TRBEC using linear adiabatic bounds. However, due to the mapping of the PSD between E and αeq to μ and K this region in (μ,K) phase space is entirely unobserved. Given that the flux distribution falls off with energy, we assume the PSD is zero (f=0) for electrons corresponding to μ=2000 MeV/G and K=KLC (Equation 46).

3.2. March 2013 Case Study

Figure 1 shows the geomagnetic conditions (Dst and Ap geomagnetic indices) and the TRBEC in adiabatic invariants (Equation 36) in early March 2013. Four chosen sets of integration bounds for each panel account for all trapped particles between a fixed L range of 3.5–5 with given ranges of μ between 50 and 2,000 MeV/G. The similarity of the TRBEC computed from the MagEIS observations between Van Allen Probe A and B illustrates the excellent cross‐calibration between instruments during this interval.

Figure 1.

Figure 1

The TRBEC of electron populations determined by the listed integration bounds in the adiabatic coordinates of μ,K,L. The Dst and Ap indices during the case study interval are included in the top plot.

At the beginning of the period of interest on 1 March 2013, there is a storm indicated by increased activity in the geomagnetic indices, followed by another on 17 March. During these two events, there is an immediate increase in the number of particles across all the studied μ ranges. In the quiet period between the storms (4 March–15 March) the TRBEC steadily decreases. The decay is exponential for particles with μ>200 MeV/G with a rate that decreases for increasing particle energy, showing that in the quiet phase between storms higher energy particles have more stable trajectories. The exponential decay implies a loss rate proportional to the number of available electrons in the radiation belts.

In the μ ranges of 200–500 MeV/G (500–1,000 MeV/G), there is a 95% (90%) reduction in the TRBEC plots from the peak following the initial storm to the end of the decay period. Respectively, both these observations reproduce the results presented in Duderstadt et al. (2021) and Forsyth et al. (2016) from their TRBEC computations over comparable integration bounds. While the relative change is consistent between our work and the cited works, in both cases the absolute number of electrons in Figure 1 is a factor of 250 less than the previous results. This is accounted for by the factor of (2π)3 difference in the equations used to compute the TRBEC.

The TRBEC computed in non‐adiabatic coordinates is shown in Figure 2 over the same period. The selected region in phase space mainly represents the TRBEC for relativistic particles in the slot region and outer radiation belt from top to bottom in Figure 2. Similarly to the adiabatic TRBEC, there is an increase in the number of particles after the storms on 1 March and 17 March across all energies. However, at L>4 there are multiple injections of lower energy particles, less than 100 keV, on 9 March that decay relatively quickly compared with the loss rates prior to it. This is consistent with simulations during this period that show the main driver of loss in the slot is due to whistler mode hiss waves which are most efficient in this energy range (Ripoll et al., 2017, 2019). This increase is not observed in Figure 1 due to the higher energy of the selected boundaries. A minimum of μ=50 MeV/G in Figure 1 is equivalent to a 244 keV equatorially mirroring particle at L = 4.

Figure 2.

Figure 2

The TRBEC of electron populations determined by the listed integration bounds in the non‐adiabatic coordinates of E,αeq,L.

In the slot region (L=3.5 to 4, Figure 2 top panel) the electron populations decay quickly before converging to a stable value due to the noise floor of the MagEIS instrument. Outside of the slot region, the electron decay is largely exponential. For lower energies (<300 keV), the exponential decay is interrupted by the injection on 9 March, whereas for 300–1,000 keV electrons the exponential decay is sustained until the 17 March storm. The higher‐energy particles are more stable over this period, as shown by the decreased decay rate, and before 9 March represent the bulk of the electrons in the outer belt.

These results show the strength of examining the TRBEC both in physical space E,αeq,L and in adiabatic space μ,K,L. Higher‐energy particles show a slow exponential loss during quiet times that is particularly smooth in adiabatic space. Lower‐energy particles show injections and loss features due to non‐adiabatic processes where mapping to invariant space is less applicable.

4. Summary

We presented further developments and refinements to the Total Radiation Belt Electron Content (TRBEC) from its origins in Baker et al. (2001) for its continued use as a homogeneous long‐term radiation belt and space weather index. From an information perspective, it is clear that TRBEC significantly reduces the amount of spectral, spatial, and temporal information from measured fluxes, but its functionality comes by way of the ability to simplify a complex system into a scalar quantity. It provides a simple, global, and long‐term assessment of the radiation belt that enables systematic analysis. This relationship between the electron flux and the TRBEC parallels geomagnetic indices such as the Ap and Dst in that global disturbances to the magnetic field are computed and reduced by combining many magnetometer measurements. Furthermore, in the absence of acceleration or loss, the total number of particles is conserved which is a property not held by particle fluxes.

We first presented a derivation of the TRBEC by specifying an electron population for a given range in the non‐adiabatic coordinates of energy, equatorial pitch angle, and L. Then, using the Hamiltonian formalism, we derived the TRBEC using action‐angle variables to present the TRBEC in terms of adiabatic invariant quantities, namely μ, K, and L. We followed these derivations by showing consistency in the normalization of these expressions and compared both derivations to previous results. We showed agreement with Selesnick and Kanekal (2009) and Zhang et al. (2017) with our non‐adiabatic derivation of the TRBEC, however, we also conclude that the adiabatic form of the TRBEC presented in Forsyth et al. (2016), Murphy et al. (2018) and used by Duderstadt et al. (2021) overstates the TRBEC by a factor of (2π)3 (248). The impact of the latter discrepancy on the listed papers is limited, since they focus on relative differences in electron populations rather than on absolute number.

We showed numerically how we computed the TRBEC over a 20‐day period in 2013, finding similar trends as Forsyth et al. (2016) and Duderstadt et al. (2021) using the adiabatic formulation of the TRBEC. The TRBEC in physical space E,αeq,L is newly derived here, and may be better adapted to describe dynamic radiation belts evolving in ways that do not conserve the two first adiabatic invariants. Beyond showing that particles undergo exponential decay, a future application of the TRBEC would be to use its ability to quantify electron loss from the radiation belts to estimate global precipitation rates during geomagnetic quiet intervals.

Overall, the total number of electrons in the radiation belts is immense, reaching upwards of 1028 electrons at the peak of the storm studied. The total kinetic energy of those electrons is also very large, on the order of 1014 J. However, if these electrons could be collected then the combined rest mass would be on a more human scale: about 10 g.

Acknowledgments

We acknowledge the NASA Van Allen Probes, the late Craig Kletzing (University of Iowa), and the APL Science Gateway for use of data. Processing and analysis of the MagEIS data was supported by Energetic Particle, Composition, and Thermal Plasma (RBSP‐ECT) investigation funded under NASA's Prime contract number NAS5‐01072. This research was supported by the International Space Science Institute (ISSI) in Bern, through ISSI International Team project #477 (Radiation Belt Physics From Top To Bottom: Combining Multipoint Satellite Observations And Data Assimilative Models To Determine The Interplay Between Sources And Losses). J.‐F. Ripoll thanks the Direction Générale de l’Armament (DGA) and the Agence pour l’Innovation de Défense (AID) for funding the ASTRID project “PACTE‐ESPACE.” J. Pitzel and C. Cully acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), funding reference number RGPIN‐2020‐05219.

Appendix A. Volume Contained by a Dipole Shell

Here we show that the exact ratio between the volume contained within a magnetic dipole shell and the volume of its enclosing sphere is 1635. Using the polar coordinates (r,λ),

r=RELcos2(λ) (A1)

describes the radial distance of magnetic dipole field lines to the origin (e.g., Schulz & Lanzerotti, 1974). In polar coordinates, the volume of a solid generated by the revolution of the area bounded by a curve, given by r(λ), is

V=23πλ1λ2r(λ)3cos(λ)dλ (A2)

where λ1 and λ2 are the bounding radii vectors of the curve (e.g., Phúc, 2020). The specific form of Equation A2 sweeps the curve around the geomagnetic pole axis (λ=π/2). Implementing the dipole field from Equation A1 with Equation A2 and evaluating the expression gives the volume contained within a dipole field line, Vdipole, in terms of the fractional volume of a sphere with a radius corresponding to the equatorial crossing distance of the dipole field lines.

Vdipole=23ππ/2π/2RELcos2(λ)3cos(λ)dλ=23πREL3π/2π/2cos7(λ)dλ=43πREL30π/2cos7(λ)dλ=Vsphere1225sin(λ)+245sin(3λ)+49sin(5λ)+5sin(7λ)22400π/2=1635Vsphere (A3)

Appendix B. Comparisons to Previous Results

In this Appendix, we show consistency between the TRBEC derived here and previous work by Selesnick and Kanekal (2009) (henceforth abbreviated as SK09) and Zhang et al. (2017) (henceforth abbreviated as Z17).

Selesnick and Kanekal (2009) assume a differential flux (electron intensity) j

j=p2f=gsin2nα. (B1)

For the case n=0 (i.e., an isotropic distribution function) in a dipole, and using NSK09 to denote the SK09 solution, the resulting TRBEC is given by their Equation 21:

dNSK09dE=256π2a3E35pc2L1L2L2g(L)dL (B2)

We reconcile nomenclatures by setting a=RE and noting that n=0 implies g=fp2:

dNSK09dE=256π2RE3Ep35c2L1L2L2f(L)dL (B3)

For our solution, we start with Equation 23 and note that the integral of W(α) over the range α=0 to π/2 is 16/35. Differentiating with respect to energy, setting L=L (i.e., using the same dipolar assumption as in SK09 Equation 21), and dropping any dependence of f on α,

dNdE=16π2RE2m01635L1L2f(L)L2γpdL=256π2RE2m0γp35L1L2L2f(L)dL (B4)

Using E=γm0c2 gives

dNdE=256π2RE2Ep35c2L1L2L2f(L)dL (B5)

which is consistent with Equation B3.

For Zhang et al. (2017), we start with their Equation 6, giving the total content in a flux tube. Denoting their solution for the flux tube content with NFT:

NFT=8πA0r0v1v2v2dv0π/2fvα0sinα0cosα01.300.56sinα0dα0 (B6)

where A0 is the flux tube area at the equator and r0=LRE is the distance to the flux tube considered.

Z17 uses a non‐relativistic formulation throughout, and their phase space density (denoted fv above and f in Z17) is in units of (distance×velocity)3, related to the differential flux j as fv=mv2j (Z17, below Equation 6). The phase space density f in this work is in units of (distance×momentum)3, defined as f=j/p2. In the non‐relativistic limit, p=mv and so fv=m3f. Converting fv and using r0=LRE:

NFT=8πA0LREm3v1v2v2dv0π/2fα0sinα0cosα01.300.56sinα0dα0 (B7)

According to the paragraph preceding Z17 Equation 6, the term sinα0cosα01.300.56sinα0 is equivalent to Wα0 in this work (and is indeed a good approximation).

NFT=8πA0LREm3v1v2v2dv0π/2fα0Wα0dα0 (B8)

Replacing the flux tube area A0 with a differential area element RELdLdθ and integrating gives a quantity that is directly comparable to our TRBEC N and which we will denote NZ17:

NZ17=8πm302πdθL1L2L2RE2dLv1v2v2dv0π/2fα0Wα0dα0 (B9)

performing the integral in θ gives

NZ17=16π2RE2m3L1L2L2dLv1v2v2dv0π/2fα0Wα0dα0 (B10)

Using the non‐relativistic relation E=1/2mv2 gives dv=dE/(mv), and so

NZ17=16π2RE2m3L1L2L2dLE1E2vmdE0π/2fα0Wα0dα0 (B11)

Or, with p=mv:

NZ17=16π2RE2mL1L2L2dLE1E2pdE0π/2fα0Wα0dα0 (B12)

which is equivalent to our Equation 23 in the non‐relativistic limit (γ=1).

Pitzel, J. C. , Cully, C. M. , Ripoll, J.‐F. , Loridan, V. , Huang, C.‐L. , Spence, H. E. , et al. (2024). Derivations of the total radiation belt electron content. Journal of Geophysical Research: Space Physics, 129, e2024JA032940. 10.1029/2024JA032940

Data Availability Statement

The Van Allen Probes flux data is available through the Coordinated Data Analysis Web (CDAWeb), or directly from the Los Alamos National Laboratory (LANL), at https://cdaweb.gsfc.nasa.gov/ and https://rbsp‐ect.newmexicoconsortium.org/data_pub/ respectively. The PSD data is available from the Van Allen Probes Science Gateway at https://rbspgway.jhuapl.edu/. We thank the MagEIS and Van Allen Probes Science Gateway teams for providing these data sets. The MATLAB code used to compute the TRBEC in both the energy and adiabatic invariant coordinate frames, plus data files of the computed TRBEC are archived in an open‐access repository (Pitzel, 2024) and maintained at https://github.com/JPitzel/Total_Radiation_Belt_Electron_Content/.

References

  1. Arnold, V. I. (1997). Mathematical methods of classical mechanics (2nd ed.). Springer. No. 60. [Google Scholar]
  2. Baker, D. N. , Kanekal, S. G. , & Blake, J. B. (2004). Characterizing the Earth’s outer Van Allen zone using a radiation belt content index. Space Weather, 2(2). 10.1029/2003SW000026 [DOI] [Google Scholar]
  3. Baker, D. N. , Kanekal, S. G. , Blake, J. B. , & Pulkkinen, T. I. (2001). The global efficiency of relativistic electron production in the Earth’s magnetosphere. Journal of Geophysical Research, 106(A9), 19169–19178. 10.1029/2000JA003023 [DOI] [Google Scholar]
  4. Baker, D. N. , Mason, G. , Figueroa, O. , Colon, G. , Watzin, J. , & Aleman, R. (1993). An overview of the solar anomalous, and magnetospheric particle explorer (SAMPEX) mission. IEEE Transactions on Geoscience and Remote Sensing, 31(3), 531–541. 10.1109/36.225519 [DOI] [Google Scholar]
  5. Baumjohann, W. , & Treumann, R. (1997). Basic space plasma physics (reprint, revised ed.). World Scientific. [Google Scholar]
  6. Blake, J. B. , Carranza, P. A. , Claudepierre, S. G. , Clemmons, J. H. , Crain, W. R. , Dotan, Y. , et al. (2013). The magnetic electron ion spectrometer (MagEIS) instruments aboard the radiation belt storm Probes (RBSP) spacecraft. Space Science Reviews, 179(1–4), 383–421. 10.1007/s11214-013-9991-8 [DOI] [Google Scholar]
  7. Boyd, A. (2016). Quantifying the role of the seed population in radiation belt dynamics. Doctoral dissertation. University of New Hampshire. https://scholars.unh.edu/dissertation/2245 [Google Scholar]
  8. Chow, T. L. (2013). Classical mechanics (Second edition ed.). CRC Press/Taylor and Francis. [Google Scholar]
  9. Claudepierre, S. G. , O’Brien, T. P. , Looper, M. D. , Blake, J. B. , Fennell, J. F. , Roeder, J. L. , et al. (2019). A revised look at relativistic electrons in the earth’s inner radiation zone and slot region. Journal of Geophysical Research: Space Physics, 124(2), 934–951. 10.1029/2018JA026349 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Cline, D. (2018). Variational principles in classical mechanics (Second edition ed.). University of Rochester River Campus Libraries, University of Rochester. (OCLC: 1050361493). [Google Scholar]
  11. Dittrich, W. , & Reuter, M. (2017). Classical and quantum dynamics. Springer International Publishing. 10.1007/978-3-319-58298-6 [DOI] [Google Scholar]
  12. Duderstadt, K. A. , Huang, C. , Spence, H. E. , Smith, S. , Blake, J. B. , Crew, A. B. , et al. (2021). Estimating the impacts of radiation belt electrons on atmospheric chemistry using FIREBIRD II and Van Allen Probes observations. Journal of Geophysical Research: Atmospheres, 126(7). 10.1029/2020JD033098 [DOI] [Google Scholar]
  13. Fitzpatrick, R. (2015). Plasma physics: An introduction. CRC Press, Taylor and Francis Group. [Google Scholar]
  14. Forsyth, C. , Rae, I. J. , Murphy, K. R. , Freeman, M. P. , Huang, C.‐L. , Spence, H. E. , et al. (2016). What effect do substorms have on the content of the radiation belts? Journal of Geophysical Research: Space Physics, 121(7), 6292–6306. 10.1002/2016JA022620 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Goldstein, H. , Poole, C. P. , & Safko, J. L. (2008). Classical mechanics (3. ed. ed.). : Addison Wesley. [Google Scholar]
  16. Greiner, W. (2004). Classical mechanics: Systems of particles and Hamiltonian dynamics. Springer. [Google Scholar]
  17. Hartley, D. P. , & Denton, M. H. (2014). Solving the radiation belt riddle. Astronomy and Geophysics, 55(6), 6.17–6.20. 10.1093/astrogeo/atu247 [DOI] [Google Scholar]
  18. Hazeltine, R. D. , & Waelbroeck, F. (2004). The framework of plasma physics (Vol. No. 100). CRC Press. 10.1201/9780429502804 [DOI] [Google Scholar]
  19. Kivelson M. G. & Russell C. T. (Eds.) (1995). Introduction to Space Physics. Cambridge University Press. [Google Scholar]
  20. Landau, L. D. , & Lifshits, E. M. (1976). Mechanics (3d ed ed.). Pergamon Press. No. v. 1. [Google Scholar]
  21. Loridan, V. (2018). Physical and numerical modeling of the dynamics of high‐energy electrons trapped in the outer radiation belt of the Earth’s magnetosphere. Theses. Université Paris Saclay (COmUE). https://theses.hal.science/tel‐01950949 [Google Scholar]
  22. Mauk, B. H. , Fox, N. J. , Kanekal, S. G. , Kessel, R. L. , Sibeck, D. G. , & Ukhorskiy, A. (2013). Science objectives and rationale for the radiation belt storm Probes mission. Space Science Reviews, 179(1–4), 3–27. 10.1007/s11214-012-9908-y [DOI] [Google Scholar]
  23. Millan, R. M. , & Baker, D. N. (2012). Acceleration of particles to high energies in earth’s radiation belts. Space Science Reviews, 173(1–4), 103–131. 10.1007/s11214-012-9941-x [DOI] [Google Scholar]
  24. Murphy, K. R. , Watt, C. E. J. , Mann, I. R. , Jonathan Rae, I. , Sibeck, D. G. , Boyd, A. J. , et al. (2018). The global statistical response of the outer radiation belt during geomagnetic storms. Geophysical Research Letters, 45(9), 3783–3792. 10.1002/2017GL076674 [DOI] [Google Scholar]
  25. Northrop, T. G. (1963). Adiabatic charged‐particle motion. Reviews of Geophysics, 1(3), 283–304. 10.1029/RG001i003p00283 [DOI] [Google Scholar]
  26. Phúc, D. V. (2020). A proof for the volume of solids revolution in polar coordinates. Advances in Mathematics: Scientific Journal, 10(1), 229–233. 10.37418/amsj.10.1.23 [DOI] [Google Scholar]
  27. Pierrard, V. , Botek, E. , Ripoll, J.‐F. , Thaller, S. A. , Moldwin, M. B. , Ruohoniemi, M. , & Reeves, G. (2021a). Links of the plasmapause with other boundary layers of the magnetosphere: Ionospheric convection, radiation belt boundaries, auroral oval. Frontiers in Astronomy and Space Sciences, 8. 10.3389/fspas.2021.728531 [DOI] [Google Scholar]
  28. Pierrard, V. , Ripoll, J.‐F. , Cunningham, G. , Botek, E. , Santolik, O. , Thaller, S. , et al. (2021b). Observations and simulations of dropout events and flux decays in october 2013: Comparing Meo equatorial with Leo polar orbit. Journal of Geophysical Research: Space Physics, 126(6), e2020JA028850. 10.1029/2020JA028850 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Pitzel, J. C. (2022). Estimating electron precipitation using the total radiation belt electron content. Master’s thesis. University of Calgary. http://hdl.handle.net/1880/115123 [Google Scholar]
  30. Pitzel, J. C. (2024). Total radiation belt electron content [Software]. Zenodo. 10.5281/zenodo.11455150 [DOI]
  31. Reeves, G. D. , McAdams, K. L. , Friedel, R. H. W. , & O’Brien, T. P. (2003). Acceleration and loss of relativistic electrons during geomagnetic storms. Geophysical Research Letters, 30(10). 10.1029/2002GL016513 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Ripoll, J. , Claudepierre, S. G. , Ukhorskiy, A. Y. , Colpitts, C. , Li, X. , Fennell, J. F. , & Crabtree, C. (2020). Particle dynamics in the earth’s radiation belts: Review of current research and open questions. Journal of Geophysical Research: Space Physics, 125(5). 10.1029/2019JA026735 [DOI] [Google Scholar]
  33. Ripoll, J. , Loridan, V. , Denton, M. H. , Cunningham, G. , Reeves, G. , Santolík, O. , et al. (2019). Observations and fokker‐planck simulations of the L ‐shell, energy, and pitch angle structure of earth’s electron radiation belts during quiet times. Journal of Geophysical Research: Space Physics, 124(2), 1125–1142. 10.1029/2018JA026111 [DOI] [Google Scholar]
  34. Ripoll, J. , Santolík, O. , Reeves, G. D. , Kurth, W. S. , Denton, M. H. , Loridan, V. , et al. (2017). Effects of whistler mode hiss waves in March 2013. Journal of Geophysical Research: Space Physics, 122(7), 7433–7462. 10.1002/2017JA024139 [DOI] [Google Scholar]
  35. Roederer, J. G. (1970). Dynamics of geomagnetically trapped radiation. Springer Berlin Heidelberg. (OCLC: 840291899). [Google Scholar]
  36. Roederer, J. G. , & Lejosne, S. (2018). Coordinates for representing radiation belt particle flux. Journal of Geophysical Research: Space Physics, 123(2), 1381–1387. 10.1002/2017JA025053 [DOI] [Google Scholar]
  37. Roederer, J. G. , & Zhang, H. (2014). Dynamics of magnetically trapped particles (Vol. 403). Springer Berlin Heidelberg. 10.1007/978-3-642-41530-2 [DOI] [Google Scholar]
  38. Schulz, M. , & Lanzerotti, L. J. (1974). In Roederer J. G. (Ed.), Particle diffusion in the radiation belts (Vol. 7). Springer Berlin Heidelberg. 10.1007/978-3-642-65675-0 [DOI] [Google Scholar]
  39. Selesnick, R. S. (2006). Source and loss rates of radiation belt relativistic electrons during magnetic storms. Journal of Geophysical Research, 111(A4), A04210. 10.1029/2005JA011473 [DOI] [Google Scholar]
  40. Selesnick, R. S. , & Kanekal, S. G. (2009). Variability of the total radiation belt electron content. Journal of Geophysical Research, 114(A2). 10.1029/2008JA013432 [DOI] [Google Scholar]
  41. Spence, H. E. , Reeves, G. D. , Baker, D. N. , Blake, J. B. , Bolton, M. , Bourdarie, S. , et al. (2013). Science goals and overview of the radiation belt storm Probes (RBSP) energetic particle, composition, and thermal plasma (ECT) suite on NASA’s Van Allen Probes mission. Space Science Reviews, 179(1), 311–336. 10.1007/s11214-013-0007-5 [DOI] [Google Scholar]
  42. Spiegel, M. R. , & Proykova, Y. (1980). Schaum’s outline of theory and problems of theoretical mechanics: With an introduction to Lagrange’s equations and Hamiltonian theory (SI (metric) ed ed.). McGraw‐Hill Book Co. [Google Scholar]
  43. Taylor, M. G. G. T. , Friedel, R. H. W. , Reeves, G. D. , Dunlop, M. W. , Fritz, T. A. , Daly, P. W. , & Balogh, A. (2004). Multisatellite measurements of electron phase space density gradients in the earth’s inner and outer magnetosphere. Journal of Geophysical Research: Space Physics, 109(A5). 10.1029/2003JA010294 [DOI] [Google Scholar]
  44. Tsyganenko, N. A. , & Sitnov, M. I. (2005). Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms. Journal of Geophysical Research: Space Physics, 110(A3). 10.1029/2004JA010798 [DOI] [Google Scholar]
  45. Turner, D. L. , O’Brien, T. P. , Fennell, J. F. , Claudepierre, S. G. , Blake, J. B. , Kilpua, E. K. J. , & Hietala, H. (2015). The effects of geomagnetic storms on electrons in Earth’s radiation belts. Geophysical Research Letters, 42(21), 9176–9184. 10.1002/2015gl064747 [DOI] [Google Scholar]
  46. Van Allen, J. A. (1959). Radiation belts around the earth. Scientific American, 200(3), 39–46. 10.1038/scientificamerican0359-39 [DOI] [Google Scholar]
  47. Walt, M. (1994). Introduction to geomagnetically trapped radiation (1st ed.). Cambridge University Press. 10.1017/CBO9780511524981 [DOI] [Google Scholar]
  48. Williams, D. J. , Hernandez, G. , & Lyons, L. R. (1976). Simultaneous observations of the proton ring current and stable auroral red arcs. Journal of Geophysical Research, 81(4), 608–616. 10.1029/ja081i004p00608 [DOI] [Google Scholar]
  49. Woodhouse, N. (2009). Introduction to analytical dynamics (Revised Edition). Springer London. 10.1007/978-1-84882-816-2 [DOI] [Google Scholar]
  50. Zhang, K. , Li, X. , Schiller, Q. , Gerhardt, D. , Zhao, H. , & Millan, R. (2017). Detailed characteristics of radiation belt electrons revealed by CSSWE/REPTile measurements: Geomagnetic activity response and precipitation observation. Journal of Geophysical Research: Space Physics, 122(8), 8434–8445. 10.1002/2017ja024309 [DOI] [Google Scholar]
  51. Zhao, H. , Li, X. , Baker, D. N. , Fennell, J. F. , Blake, J. B. , Larsen, B. A. , et al. (2015). The evolution of ring current ion energy density and energy content during geomagnetic storms based on Van Allen Probes measurements. Journal of Geophysical Research: Space Physics, 120(9), 7493–7511. 10.1002/2015ja021533 [DOI] [Google Scholar]

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This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. Pitzel, J. C. (2024). Total radiation belt electron content [Software]. Zenodo. 10.5281/zenodo.11455150 [DOI]

Data Availability Statement

The Van Allen Probes flux data is available through the Coordinated Data Analysis Web (CDAWeb), or directly from the Los Alamos National Laboratory (LANL), at https://cdaweb.gsfc.nasa.gov/ and https://rbsp‐ect.newmexicoconsortium.org/data_pub/ respectively. The PSD data is available from the Van Allen Probes Science Gateway at https://rbspgway.jhuapl.edu/. We thank the MagEIS and Van Allen Probes Science Gateway teams for providing these data sets. The MATLAB code used to compute the TRBEC in both the energy and adiabatic invariant coordinate frames, plus data files of the computed TRBEC are archived in an open‐access repository (Pitzel, 2024) and maintained at https://github.com/JPitzel/Total_Radiation_Belt_Electron_Content/.


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