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Summary of ENSO Model Forecasts

16 December 2002

> Note on interpreting model forecasts
> Discussion of current forecasts
> Figure of Nino3.4 SST forecasts
> Table of Nino3.4 SST forecasts
> Notes on the data

Note on interpreting model forecasts

The following graph and table show forecasts made by dynamical and statistical models for SST in the Nino 3.4 region for nine overlapping 3-month periods. Note that the expected skills of the models, based on historical performance, are not equal to one another. The skills also generally decrease as the lead time increases. Thirdly, forecasts made at some times of the year generally have higher skill than forecasts made at other times of the year--namely, they are better when made between June and November than when they are made between January and May. Differences among the forecasts of the models reflect both differences in model design, and actual uncertainty in the forecast of the possible future SST scenario. 

Discussion of current forecasts

The set of dynamical and statistical model forecasts issued during late September and early October shows a range of possible sea surface temperature conditions for the coming 2 to 9 months (December-January-February 2002-03 through August-September-October 2003). Nearly all models are indicating a continuation of warm conditions, followed by a slow weakening of the warmth during the first half of 2003. Most of the models forecast warming sufficient to be called an El Nino (e.g., warming to 0.6 degrees C or more above average in the Nino 3.4 region for the January-February-March seasonal average). A small number are forecasting ENSO conditions in the neutral category--less than 0.6 degrees C away from normal. The warmest forecast for the January-February-March period comes from the NASA/NSIPP model [2.11 degrees C above normal), and the coldest one is from the Colorado State Univ CLIPER calling for SST anomalies of -0.02 degrees C. For March-April-May 2003, 12 of the 16 models still suggest El Nino conditions (0.5 degrees or more for that season): all except for the Australian POAMA, the ECMWF, the NOAA/CDC Linear Inverse, and the Colorado State Univ. CLIPER.

SST forecasts