Tropical
Pacific SST Forecasts Utilizing Multiple Coupled GCMs
contributed by David G. DeWitt1,
Edwin K. Schneider2,3 and Dan Paolino3
1International
Research Institute for Climate Prediction,
2George
3Center for Ocean-Land-Atmosphere
Studies
We describe forecasts for tropical Pacific sea surface
temperature (SST) made by combining the forecasts produced by multiple
independent coupled atmosphere-ocean general circulation models (CGCMs). This initial forecast framework uses two
CGCMs. The two CGCMs utilize the same
ocean component model and are initialized using the same ocean data
assimilation product. This work is an extension of the combined CGCM forecasts
described in Schneider et al. (2003).
Differences between that work and the current forecasts include use of
an extended period for developing prior statistics, use of fewer models, and
employment of a different technique for combining the SST forecasts from the
different models. This manuscript gives the real time forecast starting from January
1, 2006. In a previous version of the ELLFB, retrospective forecast skill for
January 1 IC forecasts has been documented.
The model descriptions have been given in previous
versions of the Extended Long-Lead Forecast Bulletin (ELLFB) and are skipped
here for brevity. The atmospheric GCM
(AGCM) component models used are the ECHAM4.5 AGCM of the Max Planck Institute for Meteorologie
(Roeckner et al., 1996) and the Center for Ocean-Land-Atmosphere (COLA) studies
AGCM version 2 (Schneider, 2002). The
ocean GCM (OGCM) component model is version 3 of the Geophysical Fluid Dynamics
Laboratory (GFDL) modular ocean model (MOM) (Pacanowski and Griffes, 1998). The
ocean initial conditions are taken from an ocean data assimilation system
produced at GFDL using a variational optimal interpolation (Derber and Rosati,
1989).
Retrospective forecasts using 7
ensemble members for the period January 1982 to present have been made using
the coupled system with ECHAM AGCM component.
Similar
retrospective forecasts using 5 ensemble members have been made using the
coupled system with COLA AGCM component.
The variance of SST anomalies differs between the two models and is also
not the same as found in nature. The
retrospective forecasts from both of the coupled systems have been normalized
by the observed variance. At each point
a bootstrap cross validation procedure is applied to bring the forecast
variance closer to observed. In this calculation, the forecast for a particular
year is not used to compute the mean or the standard deviation for either the
model or the observations. The forecast
anomaly for that year is taken as the difference from the model climatology
made without using that year multiplied by the ratio of observed to model
standard deviation also calculated without the data from the year of the
forecast. The final SST forecast is the
simple arithmetic mean of the normalized forecasts from the two coupled models.
The current forecast for the
Nino indices averaged SST anomalies made from January 1, 2006 is shown in
Figure 1. The combined coupled forecast
calls for both Nino regions to have a warming trend from weak cold conditions
to weak warm conditions over the forecast period.
These forecasts were made
possible due to help from several institutions.
Matt Harrison and Tony Rosati of GFDL developed the ODA system and ran
the 1980 to 1999 period. Ben Kirtman and Duhong Min of COLA have ported the ODA
to their system and run the 2000 to present period. Bohua Huang of COLA implemented the lower
resolution of the OGCM used here. Max
Planck has kindly provided the ECHAM4.5 AGCM to the IRI. David DeWitt was supported by a grant from
the National Oceanic an Atmospheric Administration: (NA07-GP0213). Support for
Schneider and Hu was provided by the National Science Foundation (ATM
98-14295,ATM01-22859), the National Oceanic and Atmospheric Administration (NA
96-GP0056), and the National Aeronautics and Space Administration (NAG 5-8202).
References:
Balmaseda, M. A., M. K. Davey, and D. L. T. Anderson,
1995: Decadal and seasonal dependence of
ENSO prediction skill. J. Climate,
8, 2705-2715.
Derber, J. and A. Rosati, 1989:
A global oceanic data assimilation system. J. Phys. Oceanogr., 19, 1333-1347.
Pacanowski, R. C., and S. M. Griffes, 1998: MOM 3.0 Manual, NOAA/Geophysical Fluid
Dynamics Laboratory,
Roeckner, E., and Coauthors, 1996: The atmospheric general circulation model
ECHAM4: Model description and simulation
of present day climate.
Max-Planck-Institut fur Meteorologie, Rep. 218, 90pp. [Available from
MPI fur Meteorlogie, Bundesstr. 55, 20146
Schneider, E. K., 2002: Understanding the differences between the
equatorial Pacific as simulated by two coupled GCMs. J. Climate, 15, 449-469.
Schneider, E. K., D. G. DeWitt, A. Rosati, B. P.
Kirtman, L. Ji, and J. J. Tribbia, 2003:
Retrospective ENSO Forecasts:
Sensitivity to atmospheric model and ocean resolution. Mon. Wea. Rev., 131,
3038-3060.
Figure Captions
Figure 1. Combined coupled model forecast for the Nino3 and
Nino3.4 regions from January 1, 2006 initial conditions.