Tropical Pacific SST Predictions with a Coupled GCM

contributed by Ben P. Kirtman and J. Shukla

Center for Ocean-Land-Atmosphere Studies 4041 Powder Mill Road, Suite 302, Calverton, MD 20705The Center for Ocean-Land-Atmosphere Studies (COLA) has recently developed an anomaly coupled prediction system, using sophisticated dynamical ocean and atmosphere models, that produces skillful forecasts of the tropical Pacific sea surface temperature anomaly (SSTA) up to 1.5 years in advance. The details of this coupled prediction system are described by Kirtman et al. (1996) and a brief description of the overall skill of the 30 hindcast predictions was given in the March 1995 issue of this bulletin. The atmospheric component is the COLA atmospheric general circulation model (AGCM, Kinter et al., 1988) that includes a state-of-the-art land surface model (Xue et al., 1991) and physical parameterizations of radiation, convection, and turbulence. The AGCM is a global spectral model that is horizontally truncated at triangular wave number 30 and has 18 unevenly spaced sigma levels in the vertical. The oceanic component is a Pacific basin version of the Geophysical Fluid Dynamics Laboratory (GFDL) ocean model (Pacanowski et al., 1993). In the ocean model there are 20 levels in the vertical with 16 levels in the upper 400 m. The zonal resolution is 1.5 degrees longitude and 0.5 degrees latitude between 10N and 10S. Further details of the ocean model are provided in Huang and Schneider (1995).

We have separately tested the ocean and atmosphere component models in order to evaluate their performance when forced by observed boundary conditions and improvements have been made that are also incorporated into the coupled prediction system. The effects of atmospheric model zonal wind stress errors have been ameliorated by using the zonal wind at the top of the boundary layer to redefine the zonal wind stress at the surface (Huang and Shukla, 1996). We have also developed an iterative procedure for further adjusting the zonal wind stress, based on the simulated SSTA errors (Kirtman and Schneider, 1996) that improves initial conditions for coupled forecasts (Kirtman et al., 1996).

Fig. 1 shows the NINO3 time series of the predicted SSTA for three forecasts initialized on, December 1, 2001, January 1, 2002 and February 1, 2002, respectively. Each forecast is run for 18 months.

All three prediction start near normal or slightly cold and rapidly cool giving fairly strong cold conditions for the boreal spring of 2002 through the boreal fall of 2002. There is a very slow return to near normal in the late boreal fall and early boreal winter of 2003.

The ensemble mean (average of all three forecasts) horizontal structure of the predicted SSTA for the boreal spring 2002, the boreal summer of 2002 and the boreal fall of 2002 are shown in the three panels of Fig. 2. The ensemble mean forecast for MAM 2002 indicates relatively weak cold conditions that intensify through SON2002.

Acknowledgments:

This research is part of a larger group effort at COLA to study the predictability of the coupled system. Many members (D. DeWitt, M. Fennessy, J. Kinter, L. Marx and E. Schneider) of this group have provided invaluable advice. L. Kikas assisted in managing the data. This work was supported under NOAA grant NA26-GP0149 and NA46-GP0217 and NSF grant ATM-93-21354.

References:

Huang, B., and J. Shukla, 1995: An examination of AGCM simulated surface stress and low level winds over the tropical Pacific ocean. Mon. Wea. Rev., 125, 985-998.

Huang, B., and E. K. Schneider, 1995: The response of an ocean general circulation model to surface wind stress produced by an atmospheric general circulation model. Mon. Wea. Rev., 123, 3059-3085

Kinter, J. L. III, J. Shukla, L. Marx and E. K. Schneider, 1988: A simulation of winter and summer circulations with the NMC global spectral model. J. Atmos. Sci., 45, 2486-2522.

Kirtman, B. P., J. Shukla, B. Huang, Z. Zhu, E. K. Schneider, 1996a: Multiseasonal predictions with a coupled tropical ocean global atmosphere system. Mon. Wea. Rev., 125, 789-808.

Kirtman, B. P., and E. K. Schneider, 1996: Model based estimates of equatorial Pacific wind stress. J. Climate, 9, 1077-1091.

Pacanowski, R. C., K. Dixon, A. Rosati, 1993: The GFDL modular ocean model users guide, version 1.0. GFDL Ocean Group Tech. Rep., No., 2.

Reynolds, R.W., and T. M. Smith, 1995: A high resolution global sea surface temperature climatology. J. Climate, 8, 1571-1583.

Xue, Y., P. J. Sellers, J. L. Kinter III, and J. Shukla, 1991: A simple biosphere model for global climate studies. J. Climate, 4, 345-364.

Figure Captions:

Figure 1: Time evolution of the NINO3 SSTA forecast. The solid curve corresponds to the forecast initialized in December 2001, the dashed curve corresponds to the January 2002 forecast and the dotted curve corresponds to the February 2002 forecast.

Figure 2: The ensemble mean SSTA. The top panel shows the predicted ensemble mean averaged from March 2002 to May 2002. The middle panel shows the predicted ensemble mean SSTA averaged from June 2001 to August 2002. The bottom panel shows the ensemble mean averaged over September 2002 to November 2002.