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A Survey of Current Operations-Ready Thermospheric Density Models for Drag Modeling in LEO Operations
Shaylah Mutschler1, Marcin Pilinski2, Sean Bruinsma3
1Space Environment Technologies (SET), Street, Pacific Palisades, CA USA.
Satellite operators need updated thermospheric density models for accurate Low Earth Orbit (LEO) trajectory predictions. This study evaluates four open-source models for operational use, comparing their performance against established standards.
Area of Science:
- Space physics
- Aerospace engineering
- Satellite operations
Background:
- Atmospheric drag significantly impacts Low Earth Orbit (LEO) satellite trajectory predictions.
- The US Government's High Accuracy Satellite Drag Model (HASDM) is not publicly available, necessitating alternatives for commercial operators.
- Accurate thermospheric density models are crucial for collision risk assessment and operational decision-making in LEO.
Purpose of the Study:
- To evaluate and compare four operations-ready, open-source thermospheric density models for use in LEO.
- To provide satellite operators with performance data, computation times, and implementation guidance for these models.
- To inform the selection of state-of-the-art density models for improved satellite trajectory predictions.
Main Methods:
- Evaluated Drag Temperature Model (DTM), Jacchia-Bowman 2008 (JB2008), NRLMSIS 2.0, and TIE-GCM models.
- Compared model performance against global HASDM and local GRACE-FO and Swarm satellite densities.
- Analyzed computation time, space weather input requirements, and implementation considerations for each model.
Main Results:
- Performance metrics, computation times, and space weather dependencies of four open-source models are detailed.
- Comparisons reveal the strengths and weaknesses of each model against operational benchmarks.
- First-time public comparison of HASDM and Whole Atmosphere Model and Ionosphere Plasmasphere Electrodynamics (WAM-IPE) nowcast and forecast densities are presented.
Conclusions:
- Open-source thermospheric density models offer viable alternatives to proprietary US Government models for LEO operations.
- Informed selection of density models can significantly enhance trajectory prediction accuracy and operational safety.
- This research aids satellite operators in updating legacy systems with advanced, publicly available tools.
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