CLIPER     Statistical Model

Colorado State University
Fort Colllins, Colorado, U.S.

CLIPER (acronym for "CLimatology and PERsistence) is a statistical prediction method, based entirely on the optimal combination of persistence, month-to-month trend of initial conditions, and climatology, for prediction of the El Nino-Southern Oscillation (ENSO) phenomena. A step-wise multiple regression design is used for predictions of SST in the Nino index regions.

Browse the CLIPER web page.

Browse the current CLIPER forecast in CPC's Climate Diagnostics Bulletin.

Contact: Dr. John Knaff: knaff@ulysses.cira.colostate.edu

References:
Landsea, C. W., and J. A. Knaff, 2000: How much skill was there in forecasting the very strong 1997-98 El Nino? Bull. Am. Meteor. Soc., 81, 2107-2119.
Knaff, J. A., and C. W. Landsea, 1997: An El Nino Southern Oscillation climatology and persistence (CLIPER) forecasting scheme. Weather Forecast., 12, 633-652.