Intense magnetic storms are hazardous for technological operations and infrastructure (e.g., Cannon et al., 2013 Daglis, 2005 Thomson, 2007). Noting (possibly slight) ambiguity in the rankings of storm intensities, using the same methods, but storms more intense than those identified for cycles 14–16, would yield a higher once-per-century intensity and a higher probability for a − Dst m > 565 nT storm. Similarly, the probability that a future storm will have an intensity exceeding that of the March 1989 superstorm, − Dst m > 565 nT, is 0.246 per cycle with a 68% confidence interval of per cycle. Using the compiled data and the constrained Weibull model, a once-per-century storm intensity is estimated to be − Dst 1 = 663 nT, with a bootstrap 68% confidence interval of nT. Of the three candidate models, the constrained Weibull gives the lowest superstorm occurrence probabilities. Since the best model is not clearly revealed with standard statistical tests, inference is precluded of the source process giving rise to storm-maximum − Dst m values. All three models are good descriptions of the data. Three different models are fitted to the cycle-ranked − Dst 1 and − Dst 2 values using a maximum-likelihood algorithm: A Gumbel model, an unconstrained Generalized-Extreme-Value model, and a Weibull model constrained to have a physically justified maximum storm intensity of − Dst m = 2500 nT. We also extracted emails from anywhere as custom parameters.A compilation is made of the largest and second-largest magnetic-storm-maximum intensities, − Dst 1 and − Dst 2, for solar cycles 14–24 (1902–2016) by sampling Oulu Dcx for cycles 19–24, using published − Dst m values for 4 intense storms in cycles 14, 15, and 18 (1903, 1909, 1921, 1946), and calculating 15 new storm-maximum − Dst m values (reported here) for cycles 14–18. We also provide tools to send bulk emails. Country wise and Category wise classified whole World Email Database. All our Content are categorized for easy usage.
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