2018
DOI: 10.1007/978-3-319-60051-2
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Solar Particle Radiation Storms Forecasting and Analysis

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Cited by 19 publications
(4 citation statements)
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“…As can be seen at Figure 4 below, in some days of high atmospheric transparency at high altitude as mount Moussala, the UV-B flux (dark violet curve) may exceeds UV-A component (light violet). Speaking about the intensity of peaks and repetition they could be attributed not only from increased reflection from dense clouds but also to occasional extraterrestrial events of solar activity [7], visible at high altitudes.…”
Section: Resultsmentioning
confidence: 99%
“…As can be seen at Figure 4 below, in some days of high atmospheric transparency at high altitude as mount Moussala, the UV-B flux (dark violet curve) may exceeds UV-A component (light violet). Speaking about the intensity of peaks and repetition they could be attributed not only from increased reflection from dense clouds but also to occasional extraterrestrial events of solar activity [7], visible at high altitudes.…”
Section: Resultsmentioning
confidence: 99%
“…At present, SEP models running in real-time with the goal of forecasting are typically based on correlations between solar phenomena (e.g., X-ray flare intensity and fluence, coronal mass ejections, type II and IV radio bursts, active region parameterizations) and SEP occurrence, see Whitman et al (2022b) and references within. Empirical models such as UMASEP and RELeASE can achieve probability of detection scores between 60%-90% with false alarm ratios of 12%-30%, with lead times of tens of minutes to a couple 10.3389/fspas.2023.1149014 of hours (Malandraki and Crosby, 2018;Núñez, 2022). Such models could support deterministic proton forecasts such as the NOAA SWPC Warning products, but further work is required to assess their ability to produce time profile forecasts of SEP characteristics capable of driving, e.g., aviation radiation models.…”
Section: Solar Energetic Particle Forecastsmentioning
confidence: 99%
“…At present, SEP models running in real-time with the goal of forecasting are typically based on correlations between solar phenomena (e.g., X-ray flare intensity and fluence, type II and IV radio bursts, active region parameterizations) and SEP occurrence. Empirical models such as UMASEP and RELeASE can achieve probability of detection scores between ~60-90% with false alarm ratios of 12-30%, with lead times of tens of minutes to a couple of hours (Malandraki et al 2018, Núñez 2022. Such models could support deterministic proton forecasts such as the NOAA SWPC Warning products, but further work is required to assess their ability to produce time profile forecasts of SEP characteristics capable of driving e.g., aviation radiation models.…”
Section: Solar Energetic Particle Forecastsmentioning
confidence: 99%