概率太阳粒子事件预测(PROSPER)模型

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2022-05-15 DOI:10.1051/swsc/2022019
A. Papaioannou, R. Vainio, O. Raukunen, P. Jiggens, À. Aran, M. Dierckxsens, S. Mallios, M. Paassilta, A. Anastasiadis
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引用次数: 4

摘要

概率太阳粒子事件预测(PROSPER)模型预测太阳高能粒子事件的发生概率和预期峰值通量。根据太阳耀斑的特征(经度、星等)、日冕物质抛射(宽度、速度)以及两者的组合,推导出一组积分质子能量(即E >0,bbb30,> 100mev)的预测。本文描述了推导SEP事件预测的PROSPER模型方法,并基于存档数据对模型进行了验证,并给出了一组案例研究。PROSPER模型已经被整合到新的先进太阳粒子事件预测系统(ASPECS)工具中,作为ESA未来的SEP高级预警系统(SAWS)的一部分,提供SEP事件的临近预测(短期预报)。ASPECS还提供了通过按需运行功能查询PROSPER历史案例的能力。
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The probabilistic solar particle event forecasting (PROSPER) model
The Probabilistic Solar Particle Event foRecasting (PROSPER) model predicts the probability of occurrence and the expected peak flux of solar energetic particle (SEP) events. Predictions are derived for a set of integral proton energies (i.e., E > 10, > 30, and > 100 MeV) from characteristics of solar flares (longitude, magnitude), coronal mass ejections (width, speed), and combinations of both. Herein the PROSPER model methodology for deriving the SEP event forecasts is described, and the validation of the model, based on archived data, is presented for a set of case studies. The PROSPER model has been incorporated into the new operational advanced solar particle event casting system (ASPECS) tool to provide nowcasting (short term forecasting) of SEP events as part of ESA’s future SEP advanced warning system (SAWS). ASPECS also provides the capability to interrogate PROSPER for historical cases via a run-on-demand functionality.
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CiteScore
7.20
自引率
4.30%
发文量
567
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