利用数据同化量化中性风和离子漂移的表征误差

IF 3.7 2区 地球科学
Space Weather Pub Date : 2024-05-01 DOI:10.1029/2023sw003609
Jiahui Hu, Aurora López Rubio, A. Chartier, S. McDonald, S. Datta‐Barua
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引用次数: 0

摘要

在这项工作中,我们量化了 "电离层逆向工程模型参数估计算法"(EMPIRE)的表示误差,该算法在等离子体密度随时间变化的情况下估计全球中性风和离子漂移。SAMI3(Sami3 是电离层模型)是 EMPIRE 观测系统的背景气候模型和伪测量数据。这种配置使数据同化输入之间以及与验证数据之间自洽。估计的中性风和离子漂移与水平风模型(HWM14)和 SAMI3 "真相 "进行了比较。对于2018年8月25日的静默期和8月26日的次7级风暴,EMPIRE估计的离子漂移在中低地磁纬度较好,平均误差达20米/秒。在高纬度地区(磁极±60°),平均误差超过 50 米/秒,差异高达 200 米/秒,相对误差高于 "真相"。在纬度为±87°时,大误差归因于边界效应。然而,中性风平均误差在中纬度(40°-60°磁场)达到峰值 20 m/s,不确定性较大,然后在接近高纬度时趋近于 0。通过开展这项研究,我们确定了一种获取表示误差协方差的方法,以便将来使用以 SAMI3 为背景的 EMPIRE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification of Representation Error in the Neutral Winds and Ion Drifts Using Data Assimilation
In this work we quantify the representation error of the algorithm Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE), which estimates global neutral winds and ion drifts given time‐varying plasma densities. SAMI3 (Sami3 is A Model of the Ionosphere) serves as the background climate model and pseudo‐measurements for the EMPIRE observation system. This configuration allows the data assimilation inputs to be self‐consistent between each other and with the validation data. The estimated neutral winds and ion drifts are compared to the Horizontal Wind Model (HWM14) and SAMI3 “truth.” For both the quiet period on 25 August 2018 and subs7equent storm on 26 August, the EMPIRE estimation of ion drifts is better at low‐to‐mid geomagnetic latitudes with mean error up to 20 m/s. For the high latitudes (poleward of ±60° magnetic), the mean errors exceed 50 m/s with variances up to 200 m/s, and the relative errors are higher than the “truth.” At latitudes of ±87°, the large errors are attributed to a boundary effect. However, the neutral wind mean errors peak at 20 m/s at mid‐latitudes (40°–60° magnetic), with larger uncertainties, then converge to 0 approaching higher latitudes. By conducting this study, we define a method for obtaining the representation error covariance for future use of EMPIRE with SAMI3 as background.
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29.70%
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166
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