A suite of six European Centre for Medium-Range Weather Forecasts (ECMWF) AMIP runs (differing only in their initial conditions) have also been examined. As observed, all-India rainfall was enhanced in 1988 relative to 1987 in each of these realizations. All-India rainfall variability during other years showed little or no predictability, possibly due to internal chaotic dynamics associated with intraseasonal monsoon fluctuations, and/or unpredictable land surface process interactions. The interannual variations of Nordeste rainfall were better represented. The State University of New York at Albany/National Center for Atmospheric Research (SUNY/NCAR) Genesis model was run in five initial condition realizations. In this model, the Nordeste rainfall variability was also best reproduced. However, for all regions the skill was less than that of the ECMWF model.
The relationship of the all-India and Sahel rainfall/SST teleconnections
with horizontal resolution, convection scheme closure, and numerics have
been evaluated. Models with resolution T42 performed more poorly than lower
resolution models. The higher resolution models were predominantly spectral.
At low resolution, spectral versus gridpoint numerics performed with nearly
equal verisimilitude. At low resolution, moisture convergence closure was
slightly more preferable than other convective closure techniques. At high
resolution, the models that used moisture convergence closure performed
very poorly, suggesting that moisture convergence may be problematic for
models with horizontal resolution >=T42.