The 9 members are generated on basis of three different coupling physics (i.e., three different models in some sense) with three different initial conditions for each model. For the detailed descriptions of the coupled model and the "semi-multimodel" ensemble scheme, please refer to the five articles below.
The data is stored with GrADS format, please see "SINTEX-F.*.ctl" as examples for the data descriptions. Note: To calculate the forecast anomaly of the 9 ensembles, you need to compute each member's anomaly relative to its own climatology, respectively.
1. Luo, J.-J., S. Masson, E. Roeckner, G. Madec, and T. Yamagata, 2005: Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics. J. Climate, 18, 2344--2360. 2. Luo, J.-J., S. Masson, S. Behera, S. Shingu, and T. Yamagata, 2005: Seasonal climate predictability in a coupled OAGCM using a different approach for ensemble forecasts. J. Climate, 18, 4474-4497. 3. Luo, J.-J., S. Masson, S. Behera, and T. Yamagata, 2007: Experimental forecasts of Indian Ocean dipole using a coupled OAGCM. J. Climate, 20, 2178-2190. 4. Luo, J.-J., S. Masson, S. Behera, and T. Yamagata 2008: Extended ENSO predictions using a fully coupled ocean-atmosphere model. J. Climate, 21, 84-93. 5. Luo, J.-J., S. Behera, Y. Masumoto, H. Sakuma, and T. Yamagata, 2008: Successful prediction of the consecutive IOD in 2006 and 2007. Geophys. Res. Lett., 35, L14S02, doi:10.1029/2007GL032793.