Gdaliy Rivin

Prof. Dr. Gdaliy Rivin


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in Russian Meteorology and Hydrology
Verified
Journal Article
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GRGdaliy Rivin
Gdaliy Rivin
IRI. A. Rozinkina
I. A. Rozinkina
RVR. M. Vil’FAnd
R. M. Vil’FAnd
DKD. B. Kiktev
D. B. Kiktev
KTK. O. Tudrii
K. O. Tudrii
AAA. Yu. Artamonov
A. Yu. Artamonov
The study presents the new system for operational short-range numerical weather prediction with the grid spacing of 1 km for the Moscow region that conside

1 June 2015 in Russian Meteorology and Hydrology
Verified
Journal Article
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GRGdaliy Rivin
Gdaliy Rivin
IRI. A. Rozinkina
I. A. Rozinkina
RVR. M. Vil’FAnd
R. M. Vil’FAnd
DAD. Yu. Alferov
D. Yu. Alferov
EAE. D. Astakhova
E. D. Astakhova
MCM. M. Chumakov
M. M. Chumakov
Described is the second stage of the work (2011-2014) on the implementation and development of the COSMO-Ru system of nonhydrostatic short-range weather forecasting (the first stage of the implementation and development of the COSMO-Ru system is described in [7, 8]). Demonstrated is how the research activities and ideas of G.I. Marchuk influenced modern methods for solving the systems of differential equations that describe atmospheric processes (in particular, the version of the Marchuk’s splitting method is used to find the solution of the finite-difference analog of the system of differential equations in the COSMO-Ru model); it is shown how he contributed to the development of the methods of assimilation of meteorological information associated with the use of adjoint equations. Given is a brief description of the COSMO model of the atmosphere and soil active layer, the COSMO-Ru system, and research activities on this system development.

21 October 2020 in Atmosphere
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AKAlexander Kirsanov
Alexander Kirsanov
IRInna Rozinkina
Inna Rozinkina
GRGdaliy Rivin
Gdaliy Rivin
DZDenis Zakharchenko
Denis Zakharchenko
Alexander OlchevAlexander Olchev
Alexander Olchev
Effects of forest fires on regional weather conditions were analyzed for Central and Eastern Siberia after warm and dry weather conditions in summer 2019 using COSMO-Ru (COnsortium for Small-scale MOdeling; Ru—Russia) and COSMO-RuART (ART—Aerosols and Reactive Trace gases) model systems. Four series of numerical experiments were conducted (one control experiment and three forest fire experiments assuming total vegetation destruction within the burned areas) to evaluate possible effects of forest fires on surface albedo and vegetation properties as well as their influence on air chemistry and aerosol concentration in the atmosphere. The modeling results showed significant influence of forest fires on regional weather conditions that occurred over large areas situated even away from burnt regions. Decreased surface albedo and reduced latent heat fluxes due to fire-induced destruction of forest cover lead to higher near-surface air temperature and lower air humidity in both burned and surrounding unburned forest areas. On the other hand, reduced incoming solar radiation due to smoke from forest fire plumes decreased land surface temperatures and increased thermal atmospheric stability resulting in reduced regional precipitation.

1 November 2019 in Russian Meteorology and Hydrology
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Journal Article
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GRGdaliy Rivin
Gdaliy Rivin
RVR. M. Vil’FAnd
R. M. Vil’FAnd
DKD. B. Kiktev
D. B. Kiktev
IRI. A. Rozinkina
I. A. Rozinkina
KTK. O. Tudriy
K. O. Tudriy
DZD. I. Zakharchenko
D. I. Zakharchenko
The COSMO-Ru1Mp prototype of the numerical weather prediction system for the Moscow region with a grid spacing of 1 km and with the included and adapted TERRA_URB parameterization module for the...

22 January 2021 in Atmosphere
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ARAnastasia P. Revokatova
Anastasia P. Revokatova
MNMikhail Nikitin
Mikhail Nikitin
GRGdaliy Rivin
Gdaliy Rivin
IRInna Rozinkina
Inna Rozinkina
ANAndrey Nikitin
Andrey Nikitin
ETEkaterina Tatarinovich
Ekaterina Tatarinovich
The lack of meteorological observations at high latitudes and the small size and relatively short lifetime of polar lows (PLs) constitute a problem in the simulation and prediction of these phenomena by numerical models. On the other hand, PLs, which are rapidly developing, can lead to such extreme weather events as stormy waves, strong winds, the icing of ships, and snowfalls with low visibility, which can influence communication along the Arctic seas. This article is devoted to studying the possibility of the numerical simulation and prediction of polar lows by different model configurations and resolutions. The results of the numerical experiments for the Norwegian and Barents seas with grid spacings of 6.5 and 2 km using the ICON-Ru configurations of the ICON (ICOsahedral Nonhydrostatic) model and with a grid spacing of 6.5 km using the COSMO-CLM (Climate Limited-area Modeling) configuration of the COSMO (COnsortium for Small-scale MOdelling) model are presented for the cold season of 2019–2020. All the used model configurations demonstrated the possibility of the realistic simulation of polar lows. The ICON model showed slightly more accurate results for the analyzed cases. The best results showed runs with lead times of less than a day.

1 July 2017 in Russian Meteorology and Hydrology
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Journal Article
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ABA. I. Bedritskii
A. I. Bedritskii
RVR. M. Vil’FAnd
R. M. Vil’FAnd
DKD. B. Kiktev
D. B. Kiktev
GRGdaliy Rivin
Gdaliy Rivin
The main stages are considered of the process of Roshydromet forecast technologies modernization that started in the 1990s, especially those related to the use of supercomputers for operational numerical weather prediction (NWP) and to the development of supercomputer technologies for NWP with different lead times. Some outcomes of the modernization are presented.