Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions

IF 3.7 2区 地球科学
Space Weather Pub Date : 2024-01-05 DOI:10.1029/2023sw003549
Xu Yang, Libin Weng, Jiuhou Lei, Xiaoqian Zhu, Haibing Ruan, Dexin Ren, Zhongli Li, Ruoxi Li, Liangjie Chen
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引用次数: 0

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.
从不同经验正交函数评估大气层温度模型
本文以CHAMP和GRACE数据为基础,利用不同的经验正交函数(EOFs)构建了外层温度模型(ETM)。外大气层温度的 EOFs 可以直接从卫星数据中获得,也可以通过应用主成分分析方法从热层电离层电动力学大气环流模型(TIEGCM)和 MSIS 模型的输出中获得。然后,利用 ETM 计算的热层质量密度与观测数据进行比较,以评估不同 ETM 模型的性能。结果发现,所有这三种模型都能很好地说明热层密度,包括昼夜变化、季节变化和纬度变化。不过,与 MSIS-ETM 和 TIEGCM-ETM 相比,基于 CHAMP 和 GRACE 数据的 ETM 在模拟赤道热层异常和午夜密度最大值特征方面表现更好。具体而言,独立的 SWARM-C 数据比较表明,我们的 Texo 模型的相对偏差和相应的均方根误差分别小于 8.9% 和 22.8%,大大优于 MSIS-00 模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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