利用STEREO-A研究未来亚L1任务的潜在益处
Investigating potential benefits of future sub-L1 missions with STEREO-A
AI总结:
基于STEREO-A在2022-2024年穿越日地线的原位数据,统计评估亚L1监测对地磁暴预报的潜在优势,发现径向间隔~0.05 au时提前时间有限,且东侧优于西侧;开发了基于经验方法的SYM-H指数实时建模方法。
摘要:
我们首次利用STEREO-A航天器作为亚L1监测器的原位数据,对地磁暴预报进行了统计研究。2022年11月至2024年6月期间,STEREO-A穿越日地线,覆盖了与日地线±15°的纵向和径向分离,以及距地球0.01-0.06 au的距离。这次穿越为评估ESA未来的亚L1任务概念(如HENON和SHIELD)提供了独特机会。我们识别了32个由STEREO-A和L1航天器同时观测到的日冕物质抛射(CME)。在这32个CME事件中,有8个首先在L1处被探测到,表明径向间隔高达~0.05 au并不总能带来提前时间优势。此外,我们发现当STEREO-A位于日地线以东(西)时,提前时间的增益更大(更小)。我们开发了一种基线方法,用于利用未来亚L1原位数据实现地磁SYM-H指数的时间平移和实时建模。该方法在整个时间段内连续运行,从而模拟所有太阳风结构的地磁响应。我们的方法基于经验驱动,应被视为利用亚L1数据的初步尝试。按照该方法,从STEREO-A数据中正确识别了47次观测到的地磁暴中的26次。强烈事件(82%,SYM-H<-100 nT)被很好地检测到,其中大多数也与识别的CME事件相关。由于我们的方法引入的偏差,大多数SYM-H最小值预测时间较晚(72%)且强度更强(58%)。
英文摘要:
We present the first statistical study of geomagnetic storm forecasting using in situ data from the STEREO-A spacecraft as a sub-L1 monitor. Between November 2022 and June 2024, STEREO-A crossed the Sun-Earth line, covering longitudinal and radial separations of +/-15° from the Sun-Earth line and 0.01-0.06 au from Earth. This passage provides a unique opportunity to assess future sub-L1 mission concepts by ESA, such as HENON and SHIELD. We identify 32 coronal mass ejections (CMEs) observed by both STEREO-A and L1 spacecraft. Eight of these 32 CME events are first detected at L1, indicating that radial spacecraft separations of up to ~0.05 au do not always yield lead time advantages. Furthermore, we find greater (smaller) gains in lead time when STEREO-A is east (west) of the Sun-Earth line. We develop a baseline methodology for the use of future sub-L1 in situ data to enable time-shifting and real-time modeling of the geomagnetic SYM-H index. This is run continuously over the entire time period, therefore modeling the geomagnetic response of all solar wind structures. Our methodology is empirically motivated and should be considered a first approach in addressing the use of sub-L1 data. Following this methodology, 26 of 47 observed geomagnetic storms are correctly identified from STEREO-A data. Intense events (82%, SYM-H<-100 nT) are well detected, most of which are also associated with an identified CME event. Most SYM-H minima are predicted later (72%) and stronger (58%) than those observed due to biases introduced by our methodology.
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