Storm-time relativistic electron modeling using the Salammbô code including trapping boundary measurements from Los Alamos particle detectors on board the Global Positioning (GPS) satellites

Details Storm-time relativistic electron modeling using the Salammbô code including trapping boundary measurements from Los Alamos particle detectors on board the Global Positioning (GPS) satellites Storm-time relativistic electron modeling using the Salammbô code including trapping boundary measurements from Los Alamos particle detectors on board the Global Positioning (GPS) satellites

May 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agusm..sm32c03f&link_type=abstract

American Geophysical Union, Spring Meeting 2001, abstract #SM32C-03

Astronomy and Astrophysics

Astrophysics

2720 Energetic Particles, Trapped, 2730 Magnetosphere--Inner, 2788 Storms And Substorms

Scientific paper

The Salammbô radiation belt code is a comprehensive diffusive code that models all physical processes governing energetic particle dynamics in the inner magnetosphere in terms of diffusion. The code uses Los Alamos geosynchronous measurements as input, and uses Kp to modulate several of its internal processes: (1) diffusion due to electric and magnetic field variations, (2) plasmapause location (and this location of hiss). The code incorporates a small-scale recirculation mechanism based on combined radial and pitch angle diffusion which has been successfully used to model relativistic particle dynamics. While the code has been successful to reproduce the general dynamic features during storms, as compared to GPS measurements, it does not incorporate the catastrophic losses incurred by encounters with the relativistic electron trapping boundary. Since no reliable model for this boundary exists they are not modeled by the code. We use here in-situ measurements from up to 4 simultaneous GPS satellites, which can measure the boundary directly. We use this data as further input to the Salammbô code, further enhancing it's now-casting accuracy.

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