Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1961-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1961-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
22 May 2017
Model description paper |
| 22 May 2017
Vorticity-divergence semi-Lagrangian global atmospheric model SL-AV20: dynamical core
Mikhail Tolstykh
Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
Hydrometeorological Centre of Russia, Moscow, Russia
Moscow Institute of Physics and Technology (State University), Moscow, Russia
Vladimir Shashkin
CORRESPONDING AUTHOR
Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
Hydrometeorological Centre of Russia, Moscow, Russia
Rostislav Fadeev
Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
Moscow Institute of Physics and Technology (State University), Moscow, Russia
Gordey Goyman
Moscow Institute of Physics and Technology (State University), Moscow, Russia
Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
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Cited
19 citations as recorded by crossref.
- Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models V. Kalmykov et al. 10.5194/gmd-11-3983-2018
- Dynamic Meteorology Research in Russia, 2015–2018 M. Kurgansky & V. Krupchatnikov 10.1134/S0001433819060070
- Stability analysis of implicit semi-Lagrangian methods for numerical solution of non-hydrostatic atmospheric dynamics equations V. Shashkin 10.1515/rnam-2021-0020
- Stochastic perturbations in the semi-Lagrangian advection algorithm of the SL-AV global atmosphere model K. Alipova et al. 10.1515/rnam-2024-0001
- The SLAV072L96 Model for Long-range Meteorological Forecasts M. Tolstykh et al. 10.3103/S1068373924070021
- Development of the global multiscale atmosphere model: computational aspects M. Tolstykh et al. 10.1088/1742-6596/1740/1/012074
- Horizontal approximation schemes for the staggered reduced latitude-longitude grid G. Goyman & V. Shashkin 10.1016/j.jcp.2021.110234
- Structure and Algorithms of SL-AV Atmosphere Model Parallel Program Complex M. Tolstykh et al. 10.1134/S1995080218040145
- The Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP) phase 1: project overview and Arctic winter forecast evaluation J. Day et al. 10.5194/gmd-17-5511-2024
- Development of the Next-generation Atmosphere Dynamics Model in Russia: Current State and Prospects V. Shashkin et al. 10.1134/S1995080224603746
- A Layer‐Averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation, and Sensitivity Exploration Y. Zhang et al. 10.1029/2018MS001539
- Improving Performance of SLAV Model for Medium Range Weather Prediction R. Fadeev et al. 10.1134/S1995080224603874
- Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model K. Alipova et al. 10.1515/rnam-2022-0027
- Development of the new ensemble weather prediction system at the Hydrometcentre of Russia V. Mizyak et al. 10.1088/1742-6596/1740/1/012072
- Systematic errors in northern Eurasian short-term weather forecasts induced by atmospheric boundary layer thickness I. Esau et al. 10.1088/1748-9326/aaecfb
- Numerical Aspects and Implementation of LAKE Scheme into a Global Atmospheric Model SLAV R. Fadeev & V. Stepanenko 10.1134/S1995080224602601
- Statistical Correction of the SL-AV Model Long-term Forecasts of Surface Air Temperature for the Territory of Northern Eurasia R. Vil’fand et al. 10.3103/S1068373924050017
- Stochastic and deterministic kinetic energy backscatter parameterizations for simulation of the two-dimensional turbulence P. Perezhogin et al. 10.1515/rnam-2019-0017
- Simulation of Stratospheric Processes with the SLAV072L96 Atmospheric General Circulation Model V. Shashkin et al. 10.3103/S1068373923060018
19 citations as recorded by crossref.
- Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models V. Kalmykov et al. 10.5194/gmd-11-3983-2018
- Dynamic Meteorology Research in Russia, 2015–2018 M. Kurgansky & V. Krupchatnikov 10.1134/S0001433819060070
- Stability analysis of implicit semi-Lagrangian methods for numerical solution of non-hydrostatic atmospheric dynamics equations V. Shashkin 10.1515/rnam-2021-0020
- Stochastic perturbations in the semi-Lagrangian advection algorithm of the SL-AV global atmosphere model K. Alipova et al. 10.1515/rnam-2024-0001
- The SLAV072L96 Model for Long-range Meteorological Forecasts M. Tolstykh et al. 10.3103/S1068373924070021
- Development of the global multiscale atmosphere model: computational aspects M. Tolstykh et al. 10.1088/1742-6596/1740/1/012074
- Horizontal approximation schemes for the staggered reduced latitude-longitude grid G. Goyman & V. Shashkin 10.1016/j.jcp.2021.110234
- Structure and Algorithms of SL-AV Atmosphere Model Parallel Program Complex M. Tolstykh et al. 10.1134/S1995080218040145
- The Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP) phase 1: project overview and Arctic winter forecast evaluation J. Day et al. 10.5194/gmd-17-5511-2024
- Development of the Next-generation Atmosphere Dynamics Model in Russia: Current State and Prospects V. Shashkin et al. 10.1134/S1995080224603746
- A Layer‐Averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation, and Sensitivity Exploration Y. Zhang et al. 10.1029/2018MS001539
- Improving Performance of SLAV Model for Medium Range Weather Prediction R. Fadeev et al. 10.1134/S1995080224603874
- Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model K. Alipova et al. 10.1515/rnam-2022-0027
- Development of the new ensemble weather prediction system at the Hydrometcentre of Russia V. Mizyak et al. 10.1088/1742-6596/1740/1/012072
- Systematic errors in northern Eurasian short-term weather forecasts induced by atmospheric boundary layer thickness I. Esau et al. 10.1088/1748-9326/aaecfb
- Numerical Aspects and Implementation of LAKE Scheme into a Global Atmospheric Model SLAV R. Fadeev & V. Stepanenko 10.1134/S1995080224602601
- Statistical Correction of the SL-AV Model Long-term Forecasts of Surface Air Temperature for the Territory of Northern Eurasia R. Vil’fand et al. 10.3103/S1068373924050017
- Stochastic and deterministic kinetic energy backscatter parameterizations for simulation of the two-dimensional turbulence P. Perezhogin et al. 10.1515/rnam-2019-0017
- Simulation of Stratospheric Processes with the SLAV072L96 Atmospheric General Circulation Model V. Shashkin et al. 10.3103/S1068373923060018
Latest update: 10 Dec 2024
Short summary
We present the hydrostatic dynamical core of the SL-AV20 global atmosphere model used for operational numerical weather prediction in Russia. The article describes model design, particularly vorticity-divergence formulation combined with the use of an unstaggerred grid. The model has an option to use a reduced latitude-longitude grid. The results for standard tests agree well with reference solutions.
We present the hydrostatic dynamical core of the SL-AV20 global atmosphere model used for...
