GOES Satellite Environment Data Description
Dutch Meteor Society: Aurora 21 january 2005
System identification of local time electron fluencies at geostationary orbit
Data Product: Solar and Galactic Protons | GOES-R Series
N5PA Website - GOES Electron Flux Page
About This Site | Radiation belt forecast
Extreme relativistic electron fluxes at geosynchronous orbit: Analysis of GOES E > 2 MeV electrons - Meredith - 2015 - Space Weather - Wiley Online Library
goes-electron-flux | Blue Dragon Journal
Towards Understanding the Origin of Cosmic-Ray Electrons | The Alpha Magnetic Spectrometer Experiment
Forecasts of Energetic Electrons at Geosynchronous Orbit
a) Relativistic electron flux >2 Mev recorded from 1996 to 2020 (b)... | Download Scientific Diagram
Remote Sensing | Free Full-Text | Modeling the Relationship of ≥2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine Learning Method
Forecasts of Energetic Electrons at Geosynchronous Orbit
PPT - Forecasting the high-energy electron flux throughout the radiation belts PowerPoint Presentation - ID:2767416
Dutch Meteor Society: X2.2 Solar Flare 15 februari 2011
GOES X-ray Flux | NOAA / NWS Space Weather Prediction Center
Frontiers | Effects of Solar Proton Events Associated With X-Ray Flares on Near-Earth Electron and Proton Fluxes Based on ZH-1 Satellite Observations
Electron Flux Variation | Radiation belt forecast
Waseda University Researchers Measure Boron Flux in High-Energy Cosmic Rays with the CALorimetric Electron Telescope (CALET) – Waseda University
&s Electron Flux >2 MeV
ANGEO - On the semi-annual variation of relativistic electrons in the outer radiation belt
Impact of Significant Time‐Integrated Geomagnetic Activity on 2‐MeV Electron Flux - Mourenas - 2019 - Journal of Geophysical Research: Space Physics - Wiley Online Library
Data Products: Magnetospheric Electrons & Protons: Med & High Energy | GOES-R Series
Remote Sensing | Free Full-Text | Modeling the Relationship of ≥2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine Learning Method
