Further to my post today to Bruce Steele (reply #239) about the differences between truly "Chaotic Systems" (eg: ENSO, PDO, IPO, MJO, etc) and approximate forecasts of such chaotic systems base on: (a) process-based GCM ensemble mean projections; and/or (b) statistical-based empirical indices/parameters/graphs etc. (eg Nino 3.4, SOI, MEI, etc), I would like to make the following comments:
(A) El Nino events are statistically more intense (ie can have higher index values) than La Nina events (see the first attached image of the Multivariate ENSO Index, MEI from 1950 to March 6 2014) , thus using the 2010-11 La Nina MEI value of about -2, I would guess that the 2014-15 El Nino could well have a MEI value of over +3.
(B) Models indicate that a Super El Nino can trigger both the PDO and IPO oscillations from a negative phase into a positive phase, as was apparently the case for the 1983-84 Super El Nino that was followed by about 15-years of positive IPO. Therefore, if we do has a Super El Nino in the 2014-15 season it will likely kick the IPO into a sustained positive phase.
(C) The following linked reference by Power & Kociuba (2010) states: "The 2010 global warming signal is already a major contributor to interdecadal variability in the SOI, equal to 45% of the standard deviation of 30-year running averages of the SOI. This figure is projected to increase to nearly 340% by the end of the 21st century." This statistical evidence supports the other evidence provided by the selected references at the end of this post that El Nino's will get stronger with increasing global warming.
http://www.cawcr.gov.au/staff/sbp/journal_articles/GW_the_SOI_Power_Kocuiba_CD_2010.pdf(D) As I have stated before, I believe that there is both paleo and modern observations that climate sensitivity is greater during warming periods than during cooling periods, and that as most process-based GCM projections do not include a ratcheting influence of strong El Nino events to strengthen such positive feedback factors as polar amplification, and carbon cycle sensitivity (among others); I am concerned that at least for the next 15-years we will see greater rates of global warming acceleration due to ENSO/PDO/IPO feedback mechanisms, than are currently recognized.
Selected References on ENSO and Global Warming:
[1] Cai, W., Borlace, S., Lengaigne, M., Rensch, P.V., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M., Lixin Wu, Matthew H. England, Guojian Wang, Eric Guilyardi & Fei-Fei Jin, (2014), "Increasing frequency of extreme El Niño events due to greenhouse warming", Nature Climate Change, doi:10.1038/nclimate2100.
[2] Cowtan, K. & Way, R.G., (2013), "Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends", Quarterly Journal of the Royal Meteorological Society, DOI: 10.1002/qj.2297.
[3] England, M.H., McGregor, S., Spence, P., Meehl, G.A., Timmermann, A., Cai, W., Gupta, A.S., Michael J. McPhaden, M.J., Purich A. & Santoso, A., (2014), "Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus", Nature Climate Change, doi:10.1038/nclimate2106.
[4] Fasullo, J.T. and Trenberth, K.E., (2012), "A Less Cloudy Future: The Role of Subtropical Subsidence in Climate Sensitivity", Science, vol. 338, pp. 792-794, 2012.
http://dx.doi.org/10.1126/science.1227465.