Florida State University Regression    Statistical Model

Florida State University
Tallahassee, Florida, U.S.

The ENSO-related SST in the Nino3.4 region is predicted using multiple linear regression, predictors being an index of upper ocean heat content, an index of Indo Pacific wind stress, and the current Nino3.4 SST value itself.

Browse information about this regression model, including current forecasts and graphical representations of their contributions from each of the predictors in the regression.

Contact: Dr. Allan Clarke: aclarke@ocean.fsu.edu

Reference:
Clarke, A. J., and S. Van Gorder, 2003: Improving El Nino prediction using a space-time integration of Indo-Pacific winds and equatorial Pacific upper ocean heat content. Geophys. Res. Lett., 30(7), 10.1029/2002GL016673, 10 April 2003.