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

Abstract Accurately 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 ma...

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Main Authors: Dexin Ren, Jiuhou Lei
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Space Weather
Subjects:
Online Access:https://doi.org/10.1029/2023SW003553
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author Dexin Ren
Jiuhou Lei
author_facet Dexin Ren
Jiuhou Lei
author_sort Dexin Ren
collection DOAJ
description Abstract Accurately 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.
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series Space Weather
spelling doaj-art-970f4c2aa3994d38aa58b8c7024b3dab2025-01-14T16:31:22ZengWileySpace Weather1542-73902023-09-01219n/an/a10.1029/2023SW003553Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based ModelDexin Ren0Jiuhou Lei1Deep Space Exploration Laboratory/School of Earth and Space Sciences University of Science and Technology of China Hefei ChinaDeep Space Exploration Laboratory/School of Earth and Space Sciences University of Science and Technology of China Hefei ChinaAbstract Accurately 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.https://doi.org/10.1029/2023SW003553thermospheredata assimilationtwo‐line elementsphysics‐based model
spellingShingle Dexin Ren
Jiuhou Lei
Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
Space Weather
thermosphere
data assimilation
two‐line elements
physics‐based model
title Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
title_full Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
title_fullStr Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
title_full_unstemmed Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
title_short Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
title_sort two line elements based thermospheric mass density specification from parameter optimization of a physics based model
topic thermosphere
data assimilation
two‐line elements
physics‐based model
url https://doi.org/10.1029/2023SW003553
work_keys_str_mv AT dexinren twolineelementsbasedthermosphericmassdensityspecificationfromparameteroptimizationofaphysicsbasedmodel
AT jiuhoulei twolineelementsbasedthermosphericmassdensityspecificationfromparameteroptimizationofaphysicsbasedmodel