Statistical downscaling matches dynamical results for better weather predictions.
The study compared two methods of making detailed weather predictions for a large vineyard area in New Zealand. One method used a complex computer model to create high-resolution temperature forecasts, while the other method used a simpler statistical approach. The researchers found that both methods gave similar results, but the statistical approach required fewer resources. This means that for this specific area, the simpler statistical method could be just as effective as the more complex computer model.