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Vladimir V. Shashkin
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2020 – today
- 2023
- [j5]Vladimir V. Shashkin
, Gordey Goyman
Summation-by-parts finite-difference shallow water model on the cubed-sphere grid. Part I: Non-staggered grid. J. Comput. Phys. 474: 111797 (2023) - 2021
- [j4]Gordey Goyman
Horizontal approximation schemes for the staggered reduced latitude-longitude grid. J. Comput. Phys. 434: 110234 (2021) - [j3]Mikhail A. Tolstykh
Improving the Computational Efficiency of the Global SL-AV Numerical Weather Prediction Model. Supercomput. Front. Innov. 8(4): 11-23 (2021) - 2020
- [c5]Mikhail A. Tolstykh
Implementation of SL-AV Global Atmosphere Model with 10 km Horizontal Resolution. RuSCDays 2020: 216-225 - [c4]Vladimir V. Shashkin
Parallel Efficiency of Time-Integration Strategies for the Next Generation Global Weather Prediction Model. RuSCDays 2020: 285-296
2010 – 2019
- 2019
- [c3]Rostislav Fadeev, Konstantin Ushakov
Supercomputing the Seasonal Weather Prediction. RuSCDays 2019: 415-426 - 2018
- [c2]Mikhail A. Tolstykh
SL-AV Model: Numerical Weather Prediction at Extra-Massively Parallel Supercomputer. RuSCDays 2018: 379-387 - 2017
- [c1]Mikhail A. Tolstykh
Further Development of the Parallel Program Complex of SL-AV Atmosphere Model. RuSCDays 2017: 290-298 - 2016
- [j2]Vladimir V. Shashkin, Rostislav Fadeev, Mikhail A. Tolstykh
3D conservative cascade semi-Lagrangian transport scheme using reduced latitude-longitude grid (CCS-RG). J. Comput. Phys. 305: 700-721 (2016) - 2012
- [j1]Mikhail A. Tolstykh
Vorticity-divergence mass-conserving semi-Lagrangian shallow-water model using the reduced grid on the sphere. J. Comput. Phys. 231(11): 4205-4233 (2012)
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