Global validation of data-assimilative electron ring current nowcast for space weather applications

Area of Science:

• Space Physics
• Plasma Physics
• Satellite Engineering

Background:

• The Earth's hazardous plasma environment poses risks to satellites via internal and surface charging effects.
• Accurate prediction of space weather is essential for mitigating satellite damage and system failures.
• Reliable forecasting of the plasma environment requires precise initial conditions.

Purpose of the Study:

• To present the first global validation of a data-assimilative electron ring current nowcast during a geomagnetic storm.
• To assess the global response and effectiveness of data assimilation for space weather applications.
• To improve the accuracy of satellite risk prediction models.

Main Methods:

• Utilizing data assimilation techniques to integrate observational data with model predictions.
• Performing a global validation by assimilating data from one satellite and validating against another.
• Assessing the technique's performance across different magnetic local time sectors.

Main Results:

• Simulation accuracy was drastically improved when observational data was available.
• The data assimilation method effectively eliminated almost all pre-existing model bias.
• Validated the global effectiveness of the data assimilation technique for space weather.

Conclusions:

• Data assimilation significantly enhances the accuracy of electron ring current nowcasting during geomagnetic storms.
• This technique improves estimations of satellite surface charging risks.
• Provides realistic 'source' populations for radiation belt simulations, crucial for satellite protection.