Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2016-265
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model description paper
12 Dec 2016
Review status
A revision of this discussion paper was accepted for the journal Geoscientific Model Development (GMD) and is expected to appear here in due course.
Vorticity-Divergence semi-Lagrangian Global Atmospheric Model SL-AV20: Dynamical Core
Mikhail Tolstykh1,2,3, Vladimir Shashkin1, Rostislav Fadeev1,3, and Gordey Goyman3,1 1Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
2Hydrometeorological Centre of Russia, Moscow, Russia
3Moscow Institute of Physics and Technology (State University), Moscow, Russia
Abstract. SL-AV (Semi-Lagranginan Absolute Vorticity) is a global atmospheric model. Its latest version SL-AV20 provides global operational medium-range weather forecast with 20 km resolution over Russia. The lower resolution configurations of SL-AV20 are being tested for seasonal prediction and climate modeling.

The article presents the model dynamical core. Its main features are vorticity-divergence formulation at the unstaggered grid, high-order finite-difference approximations, semi-Lagrangian semi-implicit discretization and the reduced latitude-longitude grid with variable resolution in latitude.

The accuracy of SL-AV20 numerical solutions using reduced lat-lon grid and the variable resolution in latitude is tested with two idealized testcases. The results agree well with other published model solutions. It is shown that the use of the reduced grid having up to 25 % less grid points than the regular grid does not significantly affect the accuracy. Variable resolution in latitude allows to improve the accuracy of solution in the region of interest.


Citation: Tolstykh, M., Shashkin, V., Fadeev, R., and Goyman, G.: Vorticity-Divergence semi-Lagrangian Global Atmospheric Model SL-AV20: Dynamical Core, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-265, in review, 2016.
Mikhail Tolstykh et al.
Mikhail Tolstykh et al.

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Short summary
Atmospheric general circulation models (AGCM) consist of dynamical core reproducing dynamics of the flow resolvable at the model grid and subgrid-scale processes description. We present SL-AV20 AGCM dynamical core, designed to achieve a given accuracy with respect to test solutions combined with a given wall-clock time using the number of processor cores as small as possible. The article describes model design choices. Model solutions for standard tests agree well with other model results.
Atmospheric general circulation models (AGCM) consist of dynamical core reproducing dynamics of...
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