Experimental Studies of Seasonal Weather Predictability Based on the INM RAS Climate Model

The technology is described for constructing the set of the initial data using the technique of eliminating the model’s bias for seasonal experiments with a numerical climate model of the Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS), which was originally developed for multi-annual experiments. A comparative analysis of the multiyear mean correlation coefficients of the anomalies for different meteorogical fields and regions in winter seasons with similar results of the SLAV model is carried out. The presence of an increase in the correlation coefficients of anomalies in the years of the El Nino and La Nina phenomena is revealed. The coincidence of the phases of the quasi-biennial oscillation is shown. The model anomalies of sea-level pressure, the amount of precipitation, and the surface temperature are compared with the anomalies of the reanalysis and the similarity is shown.