What is it about?

This work applies the sequential ensemble Kalman filter-based calibration and data assimilation (C/DA) technique to the empirical thermosphere model NRLMSISE-00 using accelerometer-derived neutral mass density from the GRACE mission. To introduce the impact of the thermosphere on estimating ionospheric parameters, the physics-based TIE-GCM is run with the updated compositions (O2, O, and He) and neutral temperature estimates from the C/DA-NRLMSISE-00. Results are validated against independent measurements (TEC, Swarm).

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Why is it important?

This study is an excellent example of using in-situ accelerometer-derived neutral mass density to improve a physics-based model on a global scale (not just along the orbit).

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This page is a summary of: Forecasting global and multi-level thermospheric neutral density and ionospheric electron content by tuning models against satellite-based accelerometer measurements, Scientific Reports, February 2022, Springer Science + Business Media, DOI: 10.1038/s41598-022-05952-y.
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