Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions

Abstract In this paper, we constructed the Exospheric Temperature Models (ETM) on the basis of CHAMP and GRACE data using different empirical orthogonal functions (EOFs). The EOFs of the exospheric temperature can be derived either from satellite data directly or from the outputs of the Thermosphere...

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Main Authors: Xu Yang, Libin Weng, Jiuhou Lei, Xiaoqian Zhu, Haibing Ruan, Dexin Ren, Zhongli Li, Ruoxi Li, Liangjie Chen
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2023SW003549
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author Xu Yang
Libin Weng
Jiuhou Lei
Xiaoqian Zhu
Haibing Ruan
Dexin Ren
Zhongli Li
Ruoxi Li
Liangjie Chen
author_facet Xu Yang
Libin Weng
Jiuhou Lei
Xiaoqian Zhu
Haibing Ruan
Dexin Ren
Zhongli Li
Ruoxi Li
Liangjie Chen
author_sort Xu Yang
collection DOAJ
description Abstract In this paper, we constructed the Exospheric Temperature Models (ETM) on the basis of CHAMP and GRACE data using different empirical orthogonal functions (EOFs). The EOFs of the exospheric temperature can be derived either from satellite data directly or from the outputs of the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) and MSIS models by applying the Principal Component Analysis method. Then, the thermospheric mass densities calculated from ETM are used to compare with the observed data in order to evaluate the performance of different ETM models. It was found that all these three models can provide good specification of thermospheric density including day‐night, seasonal, and latitudinal variations. However, the ETM based on CHAMP and GRACE data gives a better performance in modeling the Equatorial Thermospheric Anomaly and the Midnight Density Maximum features than the MSIS‐ETM and TIEGCM‐ETM. Specifically, independent SWARM‐C data comparison showed that the Relative Deviations and corresponding Root‐Mean‐Square‐Errors of our Texo models are less than 8.9% and 22.8%, much better than the MSIS‐00 model.
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institution Kabale University
issn 1542-7390
language English
publishDate 2024-01-01
publisher Wiley
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series Space Weather
spelling doaj-art-1d0da4db3d39446e92ce5dbb6456c9372025-01-14T16:26:56ZengWileySpace Weather1542-73902024-01-01221n/an/a10.1029/2023SW003549Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal FunctionsXu Yang0Libin Weng1Jiuhou Lei2Xiaoqian Zhu3Haibing Ruan4Dexin Ren5Zhongli Li6Ruoxi Li7Liangjie Chen8Institute of Meteorology and Oceanography National University of Defense Technology Changsha ChinaInstitute of Meteorology and Oceanography National University of Defense Technology Changsha ChinaCAS Key Laboratory of Geospace Environment University of Science and Technology of China Hefei ChinaInstitute of Meteorology and Oceanography National University of Defense Technology Changsha ChinaSchool of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and Technology Nanjing ChinaCAS Key Laboratory of Geospace Environment University of Science and Technology of China Hefei ChinaCAS Key Laboratory of Geospace Environment University of Science and Technology of China Hefei ChinaCAS Key Laboratory of Geospace Environment University of Science and Technology of China Hefei ChinaFaculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an ChinaAbstract In this paper, we constructed the Exospheric Temperature Models (ETM) on the basis of CHAMP and GRACE data using different empirical orthogonal functions (EOFs). The EOFs of the exospheric temperature can be derived either from satellite data directly or from the outputs of the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) and MSIS models by applying the Principal Component Analysis method. Then, the thermospheric mass densities calculated from ETM are used to compare with the observed data in order to evaluate the performance of different ETM models. It was found that all these three models can provide good specification of thermospheric density including day‐night, seasonal, and latitudinal variations. However, the ETM based on CHAMP and GRACE data gives a better performance in modeling the Equatorial Thermospheric Anomaly and the Midnight Density Maximum features than the MSIS‐ETM and TIEGCM‐ETM. Specifically, independent SWARM‐C data comparison showed that the Relative Deviations and corresponding Root‐Mean‐Square‐Errors of our Texo models are less than 8.9% and 22.8%, much better than the MSIS‐00 model.https://doi.org/10.1029/2023SW003549
spellingShingle Xu Yang
Libin Weng
Jiuhou Lei
Xiaoqian Zhu
Haibing Ruan
Dexin Ren
Zhongli Li
Ruoxi Li
Liangjie Chen
Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions
Space Weather
title Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions
title_full Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions
title_fullStr Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions
title_full_unstemmed Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions
title_short Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions
title_sort evaluation of the exospheric temperature modeling from different empirical orthogonal functions
url https://doi.org/10.1029/2023SW003549
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AT libinweng evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
AT jiuhoulei evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
AT xiaoqianzhu evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
AT haibingruan evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
AT dexinren evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
AT zhonglili evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
AT ruoxili evaluationoftheexospherictemperaturemodelingfromdifferentempiricalorthogonalfunctions
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