In the past, simulating crop yields from climate models has proven very difficult due to the course spatial and temporal resolution of the model output. Our new approach involves the use of regional downscaling of a regional coupled ocean-atmosphere model to generate a realistic daily data stream that can be ingested directly into crop models.

The model used in this study is the FSU Regional Spectral Climate model. This is a perturbation model embedded within the FSU global spectral model. Past studies of the Regional Spectral Model indicate increased skill over the global model. We will present preliminary results of this ongoing research project in which the 1998-1999 growing seasons are simulated using the Regional model and the resulting data ingested into a corn model.

We believe the Regional model can evolve into a useful tool for the downscaling of climate forecasts and applied to agricultural interests.