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Contract number
075-15-2021-577
Time span of the project
2021-2023
Invited researcher
since February 2023 Mokhov Igor Ivanovich
2021 - 2023 Keenlyside Noel

As of 01.12.2023

33
Number of staff members
22
scientific publications
1
Objects of intellectual property
General information

Name of the project: Climate predictability in Northern Eurasia: from the mechanisms of regional variability to the improvement of forecasting quality

Goals and objectives

Goals of project:

Against the background of f record-high global temperatures, July 2020 in the western part of Russia was abnormally cold, while in Europe, unprecedented heat settled in, as well as in Eastern Siberia with wildfires, and the threat of reaching historical high flood levels was hanging over the far eastern part of Russia. Are such phenomena predictable? Will they be more frequent in the coming decades? These questions are critically important for the society and economy and are central for a relatively new domain – climate forecasting. The laboratory's objective is the improvement of the precision of forecasts of the climate and extreme hydrometeorological phenomena in regions of Northern Eurasia on temporal scales from several weeks to a decade.

In the light of such results, the creation of the laboratory is timely and it can help to accelerate the development of improved climate forecasts and climate services in Russia.

The practical value of the study

Scientific results:

The main scientific achievement of the project is the first comprehensive assessment of the theoretical potential and practically realizable predictability of climatic and extreme hydrometeorological events in Northern Eurasia on weekly to centennial timescales. The following main results were obtained:

  1. Quantitative assessment of the contribution of the fast (atmospheric) component and the slow (climatic) component to climate variability on the specified time scales.
  2. Quantitative assessment of the predictability of slow and fast components at various time scales (from 2 weeks to decades) based on observational data and models, including an assessment of the main limitations of existing climate models and the development of new approaches to reconfiguring/modifying forecast data to improve their accuracy and reliability.
  3. Quantitative assessment of the contribution of external radiation exposure and internal climate variability to the dynamics of both fast (atmospheric) and slow (climatic) components for the current historical period and the coming century, including the assessment of uncertainty in modeling results and the development of methods to reduce this uncertainty.
  4. Quantitative assessment of the existing potential for forecasting extreme hydrometeorological events in Northern Eurasia on a sub-seasonal time scale and assessment of the impact of climate change on the characteristics of extreme events with scenario forecasts of such changes in the 21st century.

Implementation of research results:

The key practical result is the creation of tools for reconfiguring forecasts and improved projections of climate and extreme hydrometeorological events in Northern Eurasia, which will serve as the basis for the applied tasks of the The Hydrometeorological Centre of Russia and will allow developing better climate services for the sustainable development of society and the economy of the Russian regions.

Education and personnel occupational retraining:

1 doctoral and 5 PhD dissertations have been submitted and defended. 5 grant participants enrolled in graduate school. Young laboratory staff were trained at the Shirshov Institute of Oceanology of the Russian Academy of Sciences and at the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences

Cooperation:

  • Shirshov Institute of Oceanology of the Russian Academy of Sciences,
  • Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences,
  • Lomonosov Moscow State University,
  • The Hydrometeorological Centre of Russia,
  • National Research University Higher School of Economics,
  • Bauman Moscow State Technical University.
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Vilfand, R. M. ; Kulikova, I. A. ; Khan, V. M. ; Makarova, M. E.
Analysis of Intraseasonal Variability and Predictability of Regional-Scale Atmospheric Processes at Midlatitudes of the Northern Hemisphere // Izvestiya, Atmospheric and Oceanic Physics, Volume 59, Issue 5, p.457-46
Kulikova, I. A.; Nabokova, E. V.; Khan, V. M.; Volodin, E. M.; Tarasevich, M. A.
Madden–Julian Oscillation in the Context of Subseasonal Variability, Teleconnections, and Predictability // Russian Meteorology & Hydrology, 2023, Vol 48, Issue 8, p645
Emelina, Svetlana & Khan, Valentina & Semenov, V. & Bragina, Vasilisa & Tarasevich, Maria & Volodin, Evgeny
(2023). Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion // Izvestiya, Atmospheric and Oceanic Physics. 59. 351-359.
Volodin, Evgeny.
(2023). Simulation of Present-Day Climate with the INMCM60 Model // Izvestiya, Atmospheric and Oceanic Physics. 59. 16-22.
Semenov, V.A., Cherenkova, E.A. & Aldonina, T.A.
Modern and Projected Characteristics of the Seasonal Cycle of Ice Cover in the Russian Arctic Seas // Dokl. Earth Sc. 511, 608–613 (2023).
Vilfand, R.M. & Kruglova, E.N. & Kulikova, I.A. & Khan, Valentina.
(2023). Improved dynamic statistical method for forecasting monthly surface air temperature // Hydrometeorological research and forecasting. 1:6-21.
V.M. Khan, R.M. Vilfand, V.A. Tishchenko, K.A. Sumerova, S.V. Emelina, E.S. Kaverina, E.N. Kruglova, I.A. Kulikova, E.V. Nabokova1, A.V. Subbotin.
Features of atmospheric circulation in the summer of 2022 // Hydrometeorological research and forecasting. 2023. N 1 (387). P. 161-171.
Babanov, B.A., Semenov, V.A., Akperov, M.G. et al.
Occurrence of Winter Atmospheric Circulation Regimes in Euro-Atlantic Region and Associated Extreme Weather Anomalies in the Northern Hemisphere. Atmos Ocean Opt 36, 522–531 (2023).
Khan, Valentina.
(2021). Overview of current and expected seasonal climatic anomalies for the winter 2021/2022 with their possible impact on the economy, as estimated by the meteorological services of the CIS countries. Hydrometeorological research and forecasting. 4. 163-176.
Mokhov I.I., A.V. Timazhev.
Seasonal Temperature Extremes in the North Eurasian Regions Depending on ENSO Phase Transitions/Atmosphere, 2022, 13, 249, doi.org/10.3390/atmos13020249
Mokhov I.I., D.A. Smirnov.
Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities /Chaos, 2022, v. 32, 063128; doi.org/10.1063/5.0088042
Aleshina M.A., Semenov V.A., Chernokulsky A.V.
A link between surface air temperature and extreme precipitation over Russia from station and reanalysis data /Environmental Research Letters, IOP Publishing ([Bristol, UK], England), v. 16, № 10, p. 105004
P. Bissolli, C. Ganter, T. Li, A. Mekonnen, and A. Sánchez-Lugo, Eds.
STATE OF THE CLIMATE IN 2020 7. REGIONAL CLIMATES/ P. Bissolli, C. Ganter, T. Li, A. Mekonnen, and A. Sánchez-Lugo, Eds. Special Online Supplement to the Bulletin of the American Meteorological Society, 2021, Vol.102, No. 8 doi.org/10.1175/2021 (Editor and Author Affiliations Khan, Valentina, Hydrometeorological Research Center of the Russian Federation/A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russia)
Bokuchava D.D., V.A. Semenov.
Mechanisms of the Early 20th Century Warming in the Arctic /Earth-Science Reviews, 2021, 222, 103820
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