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In this work we predict the maximum amplitude, its time of occurrence, andthe total length of Solar Cycle 24 by linear regression to the curvature(second derivative) at the preceding minimum of a smoothed version of thesunspots time series. We characterise the predictive power of the proposedmethodology in a causal manner by an incremental incorporation of past solarcycles to the available data base. In regressing maximum cycle intensity tocurvature at the leading minimum we obtain a correlation coefficient R \approx0.91 and for the upcoming Cycle 24 a forecast of 78 (90% confidence interval:56 - 106). Ascent time also appears to be highly correlated to the secondderivative at the starting minimum (R \approx -0.77), predicting maximum solaractivity for October 2013 (90% confidence interval: January 2013 to September2014). Solar Cycle 24 should come to an end by February 2020 (90% confidenceinterval: January 2019 to July 2021), although in this case correlationalevidence is weaker (R \approx -0.56).

Predictions of the Maximum Amplitude, Time of Occurrence, and Total Length of Solar Cycle 24