Witrynamuch-scrutinized benchmark for our ability to forecast ENSO. The basis for predicting boreal wintertime Ni ño-3.4 anomaly from accurate knowledge of equatorial Pa-cific wind variability is revisited herein using a statistical forecasting approach based on the best-performing wind stress field over the period for which winds from both the Witrynastep ahead) forecasts, respectively. Throughout the remainder of the paper I use the subscript r I T on a variable to indicate that it refers to a forecast for observation date (T + r) when the forecast uses estimates based on in-formation from observations up to date T. The dynamic forecasts based on the estimator aT are given by,
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