EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Influence of the ocean initial state on the weather anomalies simulation for 2019/2020 winter in the INMCM5 seasonal hindcasts

Maria Tarasevich1,2, Vasilisa Vorobyeva1,2, Alexey Chernenkov1, Mikhail Gasanov3, Danila Bardashov4, and Evgeny Volodin2
Maria Tarasevich et al.
  • 1Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russian Federation
  • 2Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russian Federation
  • 3Skolkovo Institute of Science and Technology, Moscow, Russian Federation
  • 4Lomonosov Moscow State University, Moscow, Russian Federation

During the 2019/2020 winter season the extremely high air temperature and precipitation were recorded over northern Eurasia, eastern Asia and eastern North America. Over the UK this winter was stormy and one of the wettest for the entire observational period. Moreover, it was the only winter without stable snow cover in the central East European Plain. The reason of such exceptional weather is the domination of a North Atlantic Oscillation (NAO) positive phase during the whole season.
Since the NAO effect on winter weather is strong, prediction of its phase is a challenge for all national meteorological services. Several of them predicted the positive sign of North Atlantic Oscillation phase for 2019/2020 winter season, but underestimated the magnitude and duration. Forecasts obtained from INM RAS climate model (INMCM5) demonstrated consistent results for the considered season.
In this work we use the INMCM5 to study the sources of the predictability of both the extremely positive NAO phase and the weather fields anomalies in the 2019/2020 winter season. In particular we consider whether the INM RAS climate model simulates the positive Indian Ocean dipole — positive North Atlantic Oscillation phase teleconnection.
The research was carried out during the student educational program "Computational Technologies, Higher Order Data Analysis and Modelling" at the Sirius University and partially supported by the Russian Science Foundation (project 20‑17‑00190).

How to cite: Tarasevich, M., Vorobyeva, V., Chernenkov, A., Gasanov, M., Bardashov, D., and Volodin, E.: Influence of the ocean initial state on the weather anomalies simulation for 2019/2020 winter in the INMCM5 seasonal hindcasts, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-599,, 2022.


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