Comparison of the parametric and non-parametric approaches to probabilistic interpretation of ensemble seasonal predictions
A skill of probabilistic predictions estimated based on the parametric and non-parametric approaches to the probabilistic interpretation of ensemble model forecasts is analyzed. It is shown that the Gaussian approximation of the probability distribution of the forecast ensemble improves its probabilistic interpretation and leads to the essential statistically significant improvement of the skill of probabilistic forecasts.