Experimental studies of seasonal weather predictability based on the INM RAS climate model
V. V. Vorobyevaab, E. M. Volodinc
a Moscow Institute of Physics and Technology (National Research University)
b Moscow Center for Fundamental and Applied Mathematics at INM RAS
c Marchuk Institute of Numerical Mathematics of RAS
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.
model, climate, weather, seasonal forecasting, anomaly correlation coefficient, atmosphere, ocean, El Niño–Southern Oscillation (ENSO), Quasi-biennial oscillation (QBO).
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V. V. Vorobyeva, E. M. Volodin, “Experimental studies of seasonal weather predictability based on the INM RAS climate model”, Matem. Mod., 32:11 (2020), 47–58
Citation in format AMSBIB
\by V.~V.~Vorobyeva, E.~M.~Volodin
\paper Experimental studies of seasonal weather predictability based on the INM RAS climate model
\jour Matem. Mod.
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