通过将swarm衍生的中性质量密度同化到基于物理的模式中,强风暴对电离层-热层系统预报的影响

I. Fernández-Gómez, A. Goss, M. Schmidt, M. Kosary, Timothy Kodikara, E. Forootan, C. Borries
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引用次数: 0

摘要

电离层-热层(IT)系统对强风暴条件的响应对于充分认识其耦合机制具有重要意义。表示高层大气控制过程的挑战在很大程度上取决于对信息技术系统真实状态的准确表示,我们通过将相关测量结果吸收到基于物理的模型中来获得信息技术系统的真实状态。热层质量密度(TMD)是大气中总中性质量的总和,由CHAMP、GOCE、GRACE(-FO)和Swarm等卫星任务的加速度计测量得出。TMD估计可以被吸收到基于物理的模型中,以修改IT系统内流程的状态。先前的研究表明,这种修正可能会改善电离层电子密度的模拟和预测。这些差异也可以解释为电离层-热层相互作用的一个指标。本文的研究旨在量化基于数据卫星的TMD同化对数值模型结果的影响。本研究的主题是基于热层-电离层-等离子层耦合电动力学(CTIPe)物理模型,并结合最近发展的热层-电离层数据同化(TIDA)方案。2015年3月16日至20日期间,esa的Swarm任务的TMD估算值被CTIPe-TIDA同化。这一时期的特点是一场强烈的地磁风暴,引发了IT系统的重大变化,即所谓的2015年圣帕特里克日风暴。为了评估由于数据同化导致的风暴条件下IT系统的变化,将同化归一化到400 km高度的SWARM质量密度的模型结果与GRACE-TMDS等独立的热层估计进行了比较。为了评估数据同化对电离层的影响,将相应的电子密度输出与DGFI-TUM数据驱动模型得出的高质量电子密度估计进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of severe storms on forecasting the Ionosphere-Thermosphere system through the assimilation of SWARM-derived neutral mass density into physics-based models

The response of the Ionosphere - Thermosphere (IT) system to severe storm conditions is of great importance to fully understand its coupling mechanisms. The challenge to represent the governing processes of the upper atmosphere depends, to a large extent, on an accurate representation of the true state of the IT system, that we obtain by assimilating relevant measurements into physics-based models. Thermospheric Mass Density (TMD) is the summation of total neutral mass within the atmosphere that is derived from accelerometer measurements of satellite missions such as CHAMP, GOCE, GRACE(-FO) and Swarm. TMD estimates can be assimilated into physics-based models to modify the state of the processes within the IT system. Previous studies have shown that this modification can potentially improve the simulations and predictions of the ionospheric electron density. These differences could also be interpreted as an indicator of the ionosphere-thermosphere interaction. The research presented here, aims to quantify the impact of data satellite based TMD assimilation on numerical model results.

Subject of this study is the Coupled Thermosphere-Ionosphere-Plasmasphere electrodynamics (CTIPe) physics-based model in combination with the recently developed Thermosphere-Ionosphere Data Assimilation (TIDA) scheme. TMD estimates from the ESA’s Swarm mission are assimilated in CTIPe-TIDA during the 16 to the 20 of March 2015. This period was characterized by a strong geomagnetic storm that triggered significant changes in the IT system, the so-called St. Patrick day storm 2015. To assess the changes in the IT system during storm conditions due to data assimilation, the model results from assimilating SWARM mass density normalized to the altitude of 400 km are compared to independent thermospheric estimates like GRACE-TMDS. In order to evaluate the impact of the data assimilation on the ionosphere, the corresponding output of electron density is compared to high-quality electron density estimates derived from data-driven model of the DGFI-TUM.

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