Instruction:
The below datasets are used for the purpose of practicing programing.
The SOI and the SST for the regions Nino1+2, Nino3, Nino3.4 and Nino4 are suitable
for time series analysis (e.g. correlation, regression, variance analysis). The
equatorial SST and SLP fields are suitable for multivariate time series
analysis (e.g. principal components, canonical correlation analysis,
singular spectrum analysis, principal oscillation patterns, neural
networks). The neural network codes for nonlinear principal component
analysis and nonlinear canonical correlation analysis will be
provided if you are interested in them.
The global mean temperature is monthly data, from 1901 - 2014.
Useful datasets for the project are given below:
Southern Oscillation Index
SST for Nino 1+2 (0-10S)(90W-80W), Nino 3 (5N-5S)(150W-90W),
Nino 4 (5N-5S)(160E-150W), Nino 3.4 (5N-5S)(170-120W)
How to read the SST & SLP data below:
Equatorial SST data
Equatorial SLP data
READ SST/SLP in R
READ Equatorial SST/SLP Data
Fraser River discharge data at Hope
Fraser River discharge data at Shelley
The global mean temperature from 1901-2014
The mean temperature of 289 countries from 1901-2014