Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model

Author:

Ren Dexin123ORCID,Lei Jiuhou123ORCID

Affiliation:

1. Deep Space Exploration Laboratory/School of Earth and Space Sciences University of Science and Technology of China Hefei China

2. CAS Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Mengcheng National Geophysical Observatory University of Science and Technology of China Hefei China

3. Collaborative Innovation Center of Astronautical Science and Technology Harbin China

Abstract

AbstractAccurately estimating the mass density of the thermosphere can assist satellite operators in planning missions and optimizing satellite orbits, reducing the risk of collisions. The newly developed GOFT (Global Observation‐based Forecast for the Thermosphere) model specifies thermospheric mass density by optimizing uncertainty parameters in a physics‐based model based on model errors. This study extends the model to specify thermospheric mass density based on Two‐Line Elements (TLEs) from numerous space objects. The resulting mass density is validated against accelerometer‐derived mass density from different satellites. The comparison results revealed that assimilating TLEs into the GOFT model significantly improved the accuracy of the thermospheric mass density. In addition, the GOFT model also improved the accuracy of the electron density in the ionosphere, indicating that the assimilation capability of GOFT allows simultaneous specification of coupled ionosphere and thermosphere in future applications.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

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