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Night-Time Ionospheric Localized Enhancements (NILE) Observed in North America Following Geomagnetic Disturbances
A T Chartier1, S Datta-Barua2, S E McDonald3
1Johns Hopkins Applied Physics Laboratory Laurel MD USA.
The Ionospheric Data Assimilation Four-Dimensional (IDA4D) technique coupled with the SAMI3 model effectively simulates night-time ionospheric localized enhancements (NILE) after geomagnetic storms. This data assimilation improves ionospheric model accuracy and reduces GPS positioning errors.
Area of Science:
- Space Physics
- Atmospheric Science
- Geophysics
Background:
- Geomagnetic storms significantly impact the Earth's ionosphere.
- Accurate ionospheric modeling is crucial for satellite-based navigation systems.
- Previous models struggled to capture localized ionospheric phenomena like NILE.
Purpose of the Study:
- To couple the IDA4D technique with the SAMI3 ionospheric model.
- To assimilate GPS total electron content (TEC) data into SAMI3.
- To validate the model's performance in simulating and correcting ionospheric disturbances.
Main Methods:
- Coupling of the IDA4D technique with the SAMI3 ionospheric model.
- Assimilation of ground-based and space-based GPS TEC data.
- Validation using in-situ electron densities, ionosonde NmF2, and reference GPS stations.
Main Results:
- IDA4D/SAMI3 successfully simulated night-time ionospheric localized enhancements (NILE) following geomagnetic storms in November 2003 and August 2018.
- NILE formation linked to upward/northward plasma transport and eastward electric fields near the dusk terminator.
- Data assimilation reduced model biases and root-mean-square errors by a factor of two or more.
- GPS 3D position errors were reduced from over 34m to 10m during a severe storm.
Conclusions:
- The IDA4D/SAMI3 system accurately captures NILE phenomena.
- Data assimilation significantly enhances the accuracy of ionospheric models.
- Improved ionospheric modeling via IDA4D/SAMI3 enhances the precision of GPS positioning.
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