Earth's Radiation Belts (side view)

  • Released Tuesday, May 8th, 2012
  • Updated Wednesday, May 3rd, 2023 at 1:53PM
  • ID: 3949

This is a simulation of the Earth's radiation belts. In this version, we've kept the belts full structure. There is also a cross-section view of the belts in Earth's Radiation Belts (cross-section).

The Earth's magnetosphere is a very large magnetic structure around the Earth, which gets stretched into a large, teardrop-shaped configuration through its interaction with the solar wind. A number of the magnetic field lines, which they may originate on the Earth, do not connect back to the Earth, but connect into the magnetic field carried by the solar wind. However, near the Earth, the dipole component of the field is stronger than the solar wind field, and this allows all the magnetic field lines to connect back to the Earth, forming (approximately) the classic magnetic dipole configuration. In this region, lower energy electrons and ions, many from the Earth's ionosphere, can become trapped by the magnetic field to form the radiation belts.

The radiation belt model is constructed from particle flux information from the SAMPEX mission, with the flux mapped to constant L-shells of the Earth's dipole magnetic field. The model is anchored to the Earth's geomagnetic field axis, which is not perfectly aligned with the Earth's rotation axis. This creates a small wobble of the radiation belts with time, which can be seen in this visualization.

The data driving the radiation belt structure is time-shifted from the 2003 Halloween solar storms, a series of strong solar eruptions that began in late October 2003 and continued into the first week of November. During this time, the particle content of the belts change rapidly due to the variation in the energetic particle flux from the Sun buffeting the Earth's magnetosphere.


Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio


This visualization is related to the following missions:


This visualization can be found in the following series:

Datasets used in this visualization

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