Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions

Author:

Yang Xu12,Weng Libin1ORCID,Lei Jiuhou345ORCID,Zhu Xiaoqian1,Ruan Haibing67ORCID,Ren Dexin3ORCID,Li Zhongli3ORCID,Li Ruoxi3,Chen Liangjie8

Affiliation:

1. Institute of Meteorology and Oceanography National University of Defense Technology Changsha China

2. State Key Laboratory of Astronautic Dynamics Xi'an China

3. CAS Key Laboratory of Geospace Environment University of Science and Technology of China Hefei China

4. Mengcheng National Geophysical Observatory University of Science and Technology of China Hefei China

5. CAS Center for Excellence in Comparative Planetology University of Science and Technology of China Hefei China

6. School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and Technology Nanjing China

7. Wuxi Research Institute Nanjing University of Information Science and Technology Wuxi China

8. Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

Abstract

AbstractIn 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.

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

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