A SINDy_c-AR reduced-order model derived from TIE-GCM, assimilated with satellite density observations via Kalman filter, lowers estimation error relative to open-loop runs, with clearest gains during storms and single-satellite coverage.
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Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models
A SINDy_c-AR reduced-order model derived from TIE-GCM, assimilated with satellite density observations via Kalman filter, lowers estimation error relative to open-loop runs, with clearest gains during storms and single-satellite coverage.