Paparin Jamlongkul, Suwicha Wannawichian, Larry J. Paxton, Clayton E. Cantrall, Han-Li Liu, Gang Lu, Pornchai Supnithi, Jirapoom Budtho
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The atmospheric simulations used are from SD WACCM-X, incorporating high-latitude drivers from the Weimer and Assimilative Mapping of Ionospheric Electrodynamics (AMIE) models. The O/N<sub>2</sub> comparison focuses on TIMED's overpasses across Thailand at 3 UT (10 LT) on both days. Both models tend to reproduce general trends in the O/N<sub>2</sub> ratio and VTEC variations prior to the storm onset. The SD WACCM-X/Weimer model shows better agreement with the O/N<sub>2</sub> ratio from GUVI observations over Thailand, particularly during the recovery phase. Meanwhile, the SD WACCM-X/AMIE model better captures VTEC trends on both large and localized scales, especially after sunset, and successfully reproduces localized features over Thailand. However, during the early recovery phase, both Weimer and AMIE drivers fail to fully capture the collapse of the equatorial ionospheric anomaly (EIA) as indicated by VTEC data, likely due to overestimated <span></span><math>\n <semantics>\n <mrow>\n <mi>E</mi>\n <mo>×</mo>\n <mi>B</mi>\n </mrow>\n <annotation> $\\mathbf{E}\\times \\mathbf{B}$</annotation>\n </semantics></math> drift values at low latitudes.</p>","PeriodicalId":15894,"journal":{"name":"Journal of Geophysical Research: Space Physics","volume":"130 10","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thermosphere–Ionosphere Responses Over Thailand During the 2015 St. Patrick's Day Storm: Comparison of Observed O/N2 and VTEC With the SD WACCM-X Model Outputs\",\"authors\":\"Paparin Jamlongkul, Suwicha Wannawichian, Larry J. Paxton, Clayton E. 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引用次数: 0
摘要
本文以2015年3月17-18日的圣帕特里克节地磁风暴为研究对象,首次对泰国地区热层-电离层响应的观测资料和模式结果进行了对比分析。本研究旨在通过建立先前的观测模型比较来提高我们对区域反应的理解。观测数据包括来自TIMED航天器上GUVI的全球O/N2比值,来自Madrigal数据库的全球GNSS接收器的全球垂直总电子含量(VTEC),以及来自KMI6 GNSS站的泰国区域VTEC。使用的大气模拟来自SD WACCM-X,结合了来自Weimer和电离层电动力学同化映射(AMIE)模型的高纬度驱动因素。O/N2对比的重点是在这两天的3ut (10lt)时,TIMED设计的横跨泰国的立交桥。两种模式都倾向于再现风暴发生前O/N2比和VTEC变化的一般趋势。SD WACCM-X/Weimer模式与泰国GUVI观测的O/N2比值吻合较好,特别是在恢复阶段。与此同时,SD WACCM-X/AMIE模型更好地捕捉了大尺度和局部尺度的VTEC趋势,特别是在日落之后,并成功地再现了泰国的局部特征。然而,在早期恢复阶段,Weimer和AMIE驱动程序都无法完全捕获VTEC数据所显示的赤道电离层异常(EIA)的崩溃,这可能是由于在低纬度高估了E × B $\mathbf{E}\乘以\mathbf{B}$漂移值。
Thermosphere–Ionosphere Responses Over Thailand During the 2015 St. Patrick's Day Storm: Comparison of Observed O/N2 and VTEC With the SD WACCM-X Model Outputs
We present the first comparative analysis of observational data and model results focusing on thermospheric-ionospheric responses over the Thailand region by studying the St. Patrick's Day geomagnetic storm on 17–18 March, 2015. This study aims to advance our understanding of regional responses by building on previous observation-model comparisons. The observational data include global O/N2 ratios from GUVI onboard the TIMED spacecraft, global vertical total electron content (VTEC) from the worldwide GNSS receivers obtained from the Madrigal database, and regional VTEC over Thailand from the KMI6 GNSS station. The atmospheric simulations used are from SD WACCM-X, incorporating high-latitude drivers from the Weimer and Assimilative Mapping of Ionospheric Electrodynamics (AMIE) models. The O/N2 comparison focuses on TIMED's overpasses across Thailand at 3 UT (10 LT) on both days. Both models tend to reproduce general trends in the O/N2 ratio and VTEC variations prior to the storm onset. The SD WACCM-X/Weimer model shows better agreement with the O/N2 ratio from GUVI observations over Thailand, particularly during the recovery phase. Meanwhile, the SD WACCM-X/AMIE model better captures VTEC trends on both large and localized scales, especially after sunset, and successfully reproduces localized features over Thailand. However, during the early recovery phase, both Weimer and AMIE drivers fail to fully capture the collapse of the equatorial ionospheric anomaly (EIA) as indicated by VTEC data, likely due to overestimated drift values at low latitudes.