most citedA Machine-Learning-Based Global Thermospheric Density Forecasting Model

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physics.space-ph2026

AETHER-P3 Nowcast v1.0: Model Description, Training-Data Construction, and Validation Technical report prepared in support of CCMC onboarding

Ruochen Wang, Xiaoli Bai

AETHER-P\textsuperscript{3} Nowcast v1.0 is a machine-learning-based global thermospheric neutral-density model developed for low-Earth-orbit applications and prepared for onboardi…

physics.space-ph2026★ 1 cited

A Machine-Learning-Based Global Thermospheric Density Forecasting Model

Ruochen Wang, Xiaoli Bai

Thermospheric mass density governs aerodynamic drag in low Earth orbit and is a primary source of uncertainty in orbit prediction and conjunction assessment, particularly during ge…