The following paper, by the same authors, uses this methodology on a larger data set, and states specific numerical results:

* Josef Ludescher, Avi Gozolchiani, Mikhail I. Bogachev, Armin Bunde, Shlomo Havlin, and Hans Joachim Schellnhuber, [Very early warning of next El NiƱo](http://www.pnas.org/content/early/2013/06/26/1309353110.full.pdf+html), _Proceedings of the National Academy of Sciences_, 30 May 2013.

With the threshhold that they obtained during the learning phase, they report that in the testing phase, alarms were correct in 76% and the nonalarms in 86% if all cases.