南极地区 UPC 制作的 GIM 的产品质量分析和修正模型

IF 7.5 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-09-10 DOI:10.1109/TGRS.2024.3456844
Xueshuo Wang;Jian Kong;Yibin Yao;Ran Cui;Ruitao Chu;Ying Ye
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引用次数: 0

摘要

在本研究中,将加泰罗尼亚理工大学(UPC)提供的高时间分辨率电离层产品uqrg在南极降采样为不同时间分辨率(15、30分钟、1、2、4、6、12和24小时)的八个产品。然后,利用全球导航卫星系统(GNSS)2015-2016 年和 2022-2023 年期间约 40 个站点数据中的总电子含量(TEC)分析了不同产品的准确性。结果表明,时间分辨率为60分钟的产品精度差异不大,均方根差异小于0.2 Tecu。然后,随着时间分辨率的降低,产品的均方根逐渐变大,2015-2016 年分别为 4.2 至 6.0 Tecu,2022-2023 年分别为 5.1 至 7.0 Tecu。利用 UPC TEC 与 GNSS TEC 之间的 TEC 差值,进一步拟合了基于球冠谐波(SCH)函数的 UPC 产品校正模型。结果表明,校正后的偏差和均方根分别从-1.93 Tecu和4.39 Tecu下降到-0.07 Tecu和2.89 Tecu,且极昼的校正效果优于极夜。最后,分别采用多项式模型和长短期记忆(LSTM)模型预测 SCH 系数,得到预测的 TEC。结果表明,多项式模型在短期预测中表现更好,与修正前的产品相比,精度提高了 20.38%;LSTM 模型在长期预测中表现更好,精度提高了 13.3%。
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Product Quality Analysis and Correction Modeling of the GIM Produced by UPC in the Antarctic Region
In this study, the high temporal resolution ionospheric product uqrg provided by Universitat Politècnica de Catalunya (UPC) is downsampled into eight products with different temporal resolutions (15, 30 min, 1, 2, 4, 6, 12, and 24 h) in the Antarctic. Then, the accuracy of different products is analyzed using Global Navigation Satellite System (GNSS) total electron content (TEC) from approximately 40 stations’ data between 2015–2016 and 2022–2023. The results indicate that there is little difference in the accuracy of products with time resolution $\le 60$ min, with a difference in root mean square (rms) <0.2 Tecu. Then, as the temporal resolution decreased, the rms of products gradually became larger, from 4.2 to 6.0 Tecu in 2015–2016 and 5.1 to 7.0 Tecu in 2022–2023, respectively. The differential TEC between UPC TEC and GNSS TEC is further used to fit a model for correcting UPC products based on the spherical crown harmonic (SCH) function. The results show that the bias and rms decreased from −1.93 to −0.07 and 4.39 to 2.89 Tecu after the correction, and the correction effect is better in polar day than in polar night. Finally, the polynomial model and the long short-term memory (LSTM) model are used to predict the SCH coefficients, respectively, to obtain the predicted TEC. The results suggest that the polynomial model performs better in short-term prediction, with an accuracy improvement of 20.38% compared with the product before corrected, and the LSTM model performs better in long-term prediction, with an accuracy improvement of 13.3%.
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来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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