V. V. Vorobyeva, E. M. Volodin, “Experimental studies of seasonal weather predictability based on the INM RAS climate model”, Mat. Model., 32:11 (2020), 47–58; Math. Models Comput. Simul., 13:4 (2021), 571

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Matematicheskoe modelirovanie, 2020, Volume 32, Number 11, Pages 47–58
DOI: https://doi.org/10.20948/mm-2020-11-04 (Mi mm4232)

This article is cited in 8 scientific papers (total in 8 papers)

Experimental studies of seasonal weather predictability based on the INM RAS climate model

V. V. Vorobyeva^ab, E. M. Volodin^c

^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

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DOI: https://doi.org/10.20948/mm-2020-11-04

Abstract: 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).

Funding agency	Grant number
Russian Foundation for Basic Research	20-05-00673
Ministry of Science and Higher Education of the Russian Federation	075-15-2019-1624

Received: 17.04.2020
Revised: 17.04.2020
Accepted: 21.06.2020

English version:
Mathematical Models and Computer Simulations, 2021, Volume 13, Issue 4, Pages 571–578
DOI: https://doi.org/10.1134/S2070048221040232

Document Type: Article

Language: Russian

Citation: V. V. Vorobyeva, E. M. Volodin, “Experimental studies of seasonal weather predictability based on the INM RAS climate model”, Mat. Model., 32:11 (2020), 47–58; Math. Models Comput. Simul., 13:4 (2021), 571–578

Citation in format AMSBIB

\Bibitem{VorVol20}

\by V.~V.~Vorobyeva, E.~M.~Volodin

\paper Experimental studies of seasonal weather predictability based on the INM RAS climate model

\jour Mat. Model.

\yr 2020

\vol 32

\issue 11

\pages 47--58

\mathnet{http://mi.mathnet.ru/mm4232}

\crossref{https://doi.org/10.20948/mm-2020-11-04}

\transl

\jour Math. Models Comput. Simul.

\yr 2021

\vol 13

\issue 4

\pages 571--578

\crossref{https://doi.org/10.1134/S2070048221040232}

Linking options:

https://www.mathnet.ru/eng/mm4232

https://www.mathnet.ru/eng/mm/v32/i11/p47

This publication is cited in the following 8 articles:

M. S. Aleksandrov, E. M. Volodin, V. V. Vorobyeva, “Study of the PDO Index Predictability for 1 to 5 Years with INMCM5”, Oceanology, 64:5 (2024), 731
Maria Tarasevich, Andrey Sakhno, Dmitry Blagodatskikh, Rostislav Fadeev, Evgeny Volodin, Andrey Gritsun, Lecture Notes in Computer Science, 14388, Supercomputing, 2023, 202
V. M. Khan, R. M. Vil'fand, V. A. Tishchenko, S. V. Emelina, A. S. Gritsun, E. M. Volodin, V. V. Vorobyeva, M. A. Tarasevich, “Assessment of Changes in the Temperature Regime of Northern Eurasia for the Next Five Years According to the INM RAS Earth System Model Forecasts and Their Possible Consequences for Agriculture”, Russ. Meteorol. Hydrol., 48:9 (2023), 745
Maria A. Tarasevich, Ivan V. Tsybulin, Vladimir A. Onoprienko, Dmitry V. Kulyamin, Evgeny M. Volodin, “Ensemble-based statistical verification of INM RAS Earth system model”, Russian Journal of Numerical Analysis and Mathematical Modelling, 38:3 (2023), 173
S. V. Emelina, V. M. Khan, V. A. Semenov, V. V. Vorobyeva, M. A. Tarasevich, E. M. Volodin, “Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion”, Izv. Atmos. Ocean. Phys., 59:4 (2023), 351
S. V. Emelina, V. M. Khan, V. A. Semenov, V. V. Vorobyeva, M. A. Tarasevich, E. M. Volodin, “Seasonal Hydrodynamic Forecasts of INM-CM5 Model for Estimation of the Start of the Birch Pollen Season”, Izvestiya Rossiiskoi akademii nauk. Fizika atmosfery i okeana, 59:4 (2023), 407
R.N. Filippov, Yu.A. Ivanov, D.V. Kurbatov, A.A. Kornilov, “A global atmosphere model in flight performance assessment and building the reach line when preparing flight missions for sea-based unmanned aerial vehicles”, EJSI, 2022, no. 1 (121)
V. V. Vorobyeva, E. M. Volodin, “Analysis of the predictability of stratospheric variability and climate indices based on seasonal retrospective forecasts of the INM RAS climate model”, Russ. J. Numer. Anal. Math. Model, 36:2 (2021), 117–126

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

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