SOI is an ENSO index. There is also a second index, ONI, Ocean El Niño Index, that has been better correlated with several other microclimatic parameters. ENSO has a stron influence on climate in many places on Earth, hence it should be correlated with P in many places as well. Use monthly ENSO index values. Do a correlation matrix between ENSO index and P for all previos ENSO months (ENSO t-1) with present monthly values. Do the same for seasonal (e.g., spring, summer, autumn and winter seasons) with ENSO t-1 up to ENSO t=t with sesonal P. You can do this easily in Excell by lagging the P values one, or two,...or 12 months to carry this statistical analysis. Graph the r value for each month. There is got to be a sin function of th r value stressing: (i) the displacement of the ENSO ocean current (ii) the diffusion of the warm ocean current in time and space; (iii) the LA NIÑA taking over the climate.

Hope these comments help you understand beeter teleconnections between ENSO and local climate data.

Kind Regards

Sincerely

Jose

José Návar , Thank you so much sir for your comment. But I am still confused as to what is this P value but I am well aware of lagging the values? How do I get these P values from my monthly rainfall data.

Also if I want to use ONI instead of SOI, do I need to convert my monthly rainfall data to 3 month running means, because ONI is given at 3 month running means.

May this one help you

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