Maintenance Notice

On Friday, 03/01/2024, the main CCMC website and all CCMC applications will be intermittently unavailable between 7 AM to 11 AM Eastern Time.  The main CCMC website and all CCMC services/applications (e.g., iSWA, Runs-On-Request (ROR), Instant-Run, online visualization services, all Scoreboards, DONKI, CAMEL, StereoCAT, etc.) will be impacted.

Please refrain from submitting run requests via ROR during the maintenance window.

Last Updated: 03/01/2024


Version: 1.0

This plasmasphere model is a machine-learning model that produces a nowcast of the plasma density in the whole equatorial plane every hour. It uses the time history of the solar wind features and of the Kp index as inputs and it makes the nowcast of the plasma density in a few seconds, making it especially suitable for real-time operations.

This model has been developed as part of the PAGER (Prediction of Adverse effects of Geomagnetic storms and Energetic Radiation) project (


When there are too many missing values of solar wind and Kp index, the machine learning model misses input features and cannot produce an output. Therefore the plot produced by the post-processing plotting tool will be blank.


solar wind, Kp


plasmaspheric density

Model is time-dependent.


  • Magnetosphere / Inner Magnetosphere / Plasmasphere

Space Weather Impacts

  • Near-earth radiation and plasma environment (aerospace assets functionality)



Publication Policy

In addition to any model-specific policy, please refer to the General Publication Policy.