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Summary of NCEP's Canonical Correlation Analysis (CCA), Optimal

Climate Normals (OCN), and NCEP Coupled Model Forecasts for U.S.

contributed by Anthony Barnston

Climate Prediction Center, NOAA, Camp Springs, Maryland

Because the CCA (Barnston 1994) and OCN (Huang et al. 1995) methods are now being used for the official operational long-lead seasonal forecasts issued by the Climate Prediction Center of NCEP, they are not presented in detail in this Experimental Forecast Bulletin. However, a brief summary of these forecasts, as well as that of the NCEP coupled model (Ji et al. 1994), for Jan-Feb-Mar and Apr-May-Jun 1997 is provided. For further information about the official NCEP forecasts, the following U.S. Regional Climate Center (RCC) Offices may be contacted:

Northeastern RCC 607-255-5950

Southeastern RCC 803-737-0800

Southern RCC 504-388-5021

Midwest RCC 217-244-8226

High Plains RCC 402-472-8294

Western RCC 702-677-3106

The forecasts themselves are contained in the Climate Outlook, available on Internet with address: http://nic.fb4.noaa.gov. That same address can also be used to access the web site for this Bulletin, as follows: http://nic.fb4.noaa.gov/products/predictions; then click on "product A-Z list".

U.S. Surface Climate Forecasts for Jan-Feb-Mar '97Temperature: OCN forecasts warmth along eastern seaboard, Texas and the Southwest. CCA predicts warmth from Southeast to Texas, northern tier (Minnesota eastward), and Kahului; cold Aleutians and Washington. The coupled model dynamical forecast calls for warm Pacific Northwest, cold in Florida.

Precipitation: CCA predicts dryness south-central Alaska, wet northern Hawaii. OCN predicts wetness Southwest. The coupled model predicts dry Florida.

U.S. Surface Climate Forecasts for Apr-May-Jun'97Temperature: CCA predicts warmth Southwest, near-normal most of Hawaii. OCN forecasts warmth Southwest, Northwest, and northern Appalachians; cold Southeast. The coupled model predicts warmth in Washington, Florida.

Precipitation: CCA and the coupled model have no usable skills for this period. OCN predicts above median rainfall in Washington and Oregon.

Note: The above forecast descriptions include only regions whose estimated cross-validated correla-tion skill exceeds 0.3. Highest local skills are usually in the neighborhood of 0.6, but this varies with season, lead time and forecast tool.

ENSO-Related SST

CCA (Barnston and Ropelewski 1992, Smith et al. 1995) predicts slightly below normal SST conditions in Nino 3.4 (120-170oW, 5 oN-5 oS) for this winter 1996-97, switching to a positive anomaly by spring and strengthening (with low confidence) by summer. Specifically, CCA forecasts the following standardized anomalies and cross-validated correlation skills:

forecast skill

Jan-Feb-Mar 1997 -0.28 0.90

Apr-May-Jun 1997 0.67 0.59

Jul-Aug-Sep 1997 1.34 0.25

Oct-Nov-Dec 1997 1.52 0.29

Jan-Feb-Mar 1998 1.09 0.45

The forecast for Jan-Feb-Mar 1997 is a skill-weighted average of CCA and simple persistence of the anomaly observed in Sep-Oct-Nov, because persistence and CCA skills are similar for that forecast. Longer lead forecasts reflect only CCA. The global field of SST anomaly for December 8-14, 1996 (Fig. 1) shows the currently somewhat below normal SST in parts of the eastern equatorial Pacific, especially east of 120oW.



Barnston, A.G., 1994: Linear statistical short-term climate predictive skill in the Northern Hemisphere. J. Climate, 5, 1514-1564.

Barnston, A.G. and C.F. Ropelewski, 1992: Prediction of ENSO episodes using canonical correlation analysis. J. Climate, 7, 1316-1345.

Huang, J., H.M. van den Dool and A.G. Barnston, 1996: Long-lead seasonal temperature prediction using optimal climate normals. J. Climate, 9, 809-817.

Ji, M., A. Kumar and A. Leetmaa, 1994b: An experimental coupled forecast system at the National Meteorological Center: Some early results. Tellus, 46A, 398-418.

Reynolds, R.W. and T.M. Smith, 1994: Improved global sea surface temperature analysis using optimum interpolation. J. Climate, 7, 929-948.

Smith, T.M., A.G. Barnston, M. Ji and M. Chelliah, 1995: The impact of Pacific Ocean subsurface data on operational prediction of tropical Pacific SST at the NCEP. Wea. Forecasting, 10, 708-714.

Fig. 1. NCEP optimum interpolation (OI; Reynolds and Smith 1994) global SST anomaly field for the week of December 8-14, 1996.



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