Geodesic
Experimental studies of seasonal weather predictability based on the INM RAS climate model
Matematičeskoe modelirovanie, Tome 32 (2020) no. 11, pp. 47-58

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The technology for constructing a set of initial data using the methodology for eliminating the displacement of the model bias for conducting seasonal time-scale experiments with the climate model of Institute of Numerical Mathematics (INM) RAS originally developed for long-term experiments is presented. The comparative analysis of multiyear mean correlation coefficients of anomalies for the winter seasons of various weather fields and regions with similar results of the SLAV model was carried out. The presence of an increase in the correlation coefficients of anomalies in the years of the phenomena of El Niño and La Niña was revealed. The coincidence of the phases of quasi-biennial oscillations is shown. The model sea-level pressure, precipitation and surface temperature anomalies are compared with reanalysis anomalies. Similarity is shown.
Keywords: model, climate, weather, seasonal forecasting, anomaly correlation coefficient, atmosphere, ocean, El Niño–Southern Oscillation (ENSO), Quasi-biennial oscillation (QBO). 
@article{MM_2020_32_11_a3,
     author = {V. V. Vorobyeva and E. M. Volodin},
     title = {Experimental studies of seasonal weather predictability based on the {INM} {RAS} climate model},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {47--58},
     publisher = {mathdoc},
     volume = {32},
     number = {11},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2020_32_11_a3/}
}
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V. V. Vorobyeva; E. M. Volodin. Experimental studies of seasonal weather predictability based on the INM RAS climate model. Matematičeskoe modelirovanie, Tome 32 (2020) no. 11, pp. 47-58. http://geodesic.mathdoc.fr/item/MM_2020_32_11_a3/