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Dynamic SEP event probability forecasts

机译:动态SEP事件概率预测

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The forecasting of solar energetic particle (SEP) event probabilities at Earth has been based primarily on the estimates of magnetic free energy in active regions and on the observations of peak fluxes and fluences of large (≤ M2) solar X-ray flares. These forecasts are typically issued for the next 24 h or with no definite expiration time, which can be deficient for time-critical operations when no SEP event appears following a large X-ray flare. It is therefore important to decrease the event probability forecast with time as a SEP event fails to appear. We use the NOAA listing of major (≤10 pfu) SEP events from 1976 to 2014 to plot the delay times from X-ray peaks to SEP threshold onsets as a function of solar source longitude. An algorithm is derived to decrease the SEP event probabilities with time when no event is observed to reach the 10 pfu threshold. In addition, we use known SEP event size distributions to modify probability forecasts when SEP intensity increases occur below the 10 pfu event threshold. An algorithm to provide a dynamic SEP event forecast, Pd, for both situations of SEP intensities following a large flare is derived.
机译:对地球上太阳高能粒子(SEP)事件概率的预测主要基于对活动区域中磁自由能的估计以及对大型(≤M2)太阳X射线耀斑的峰值通量和注量的观察。这些预测通常在接下来的24小时内发布,或者没有明确的到期时间,当在大型X射线耀斑之后没有出现SEP事件时,对于时间紧迫的操作可能是不够的。因此,重要的是随着时间的推移降低事件概率预测,因为SEP事件不会出现。我们使用1976年至2014年发生的主要(≤10 pfu)SEP事件的NOAA列表,绘制了从X射线峰到SEP阈值发作的延迟时间与太阳能经度的关系。当未观察到事件达到10 pfu阈值时,将推导一种算法来随着时间降低SEP事件概率。此外,当SEP强度增加发生在10 pfu事件阈值以下时,我们使用已知的SEP事件大小分布来修改概率预测。推导了一种算法,可为大火炬后的SEP强度的两种情况提供动态SEP事件预测Pd。

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