Experimental Forecast with a New Version of the LDEO Model

contributed by Dake Chen, Stephen E. Zebiak, and Mark A. Cane

Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York

For more than a decade, the LDEO model (Cane et al., 1986; Zebiak and Cane, 1987) has played an important role in our understanding and prediction of ENSO. However, the predictive skill of the original Lamont model (LDEO1) is severely limited by its unbalanced initialization scheme, its sole dependence on wind data and its large systematic biases. In the last few years, we have made considerable improvements in model initialization and data assimilation, resulting in LDEO2 and LDEO3 (Chen et al., 1995, 1998, 1999). Most recently, we have effectively reduced the systematic biases of the Lamont model with a simple statistical correction based on the regression between the leading EOFs of the model errors and the leading MEOFs of the model states (Chen et al., 2000). It is now more straightforward to assimilate data for model initialization because of much reduced model-data incompatibility. The bias-corrected model not only performs better in retrospective forecasting, but also exhibits a more realistic internal variability.

Here we present the current forecasts of this new version of the LDEO model (LDEO4). Figure 1 shows model predicted SST and wind stress anomalies in the tropical Pacific for the next three seasons. These are ensemble averages of the forecasts started from Jun-Jul-Aug conditions, with observed monthly SST, wind and sea level data assimilated. Three sets of forecasts were made in the middle of each month with three different kinds of wind stress data (QuikScat, NCEP and FSU) for initialization. CAC SST and TOPEX sea level data were used all three cases. Thus the ensembles shown in Figure 1 are based on nine individual forecasts. A closer look at the forecast integrations for NINO3 is provided in Figure 2, which shows individual 9 month forecasts beginning from 1-month-apart initial conditions from July 2000 to Aug 2002. Note that the FSU winds are from the new objective analysis.

The LDEO model is predicting a moderate El Nino which peaks at the end of the year and then decays in the following seasons.

References:

Cane, M. A., S. E. Zebiak and S. C. Dolan, 1986: Experimental forecasts of El Nino, Nature, 321, 827-832.

Chen, D., S. E. Zebiak, A. J. Busalacchi and M. A. Cane, 1995: An improved procedure for El Nino forecasting: implications for predictability. Science, 269, 1699-1702.

Chen, D., M. A. Cane, and S. E. Zebiak, 1998: The impact of sea level data assimilation on the Lamont model prediction of the 1997/98 El Nino, Geophys. Res. Lett., 25, 2837-2840.

Chen, D., M. A. Cane, and S. E. Zebiak, 1999: The impact of NSCAT winds on predicting the 1997/98 El Nino: A case study with the Lamont model. J. Geophys. Res., 104, 11321-11327.

Chen, D., M. A. Cane, S. E. Zebiak, Rafael Canizares and A. Kaplan, 2000, Bias correction of an ocean-atmosphere coupled model, Geophys. Res. Lett., 27, 2585-2588.

Zebiak, S. E. and M. A. Cane, 1987: A model El Nino-Southern Oscillation. Mon. Wea. Rev., 115, 2262-2278.