2014
DOI: 10.5194/gmd-7-407-2014
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Inherently mass-conservative version of the semi-Lagrangian absolute vorticity (SL-AV) atmospheric model dynamical core

Abstract: Abstract. The semi-Lagrangian absolute vorticity (SL-AV) atmospheric model is the global semi-Lagrangian hydrostatic model used for operational medium-range and seasonal forecasts at the Hydrometeorological Centre of Russia. The distinct feature of the SL-AV dynamical core is the semiimplicit, semi-Lagrangian vorticity-divergence formulation on the unstaggered grid. A semi-implicit, semi-Lagrangian approach allows for long time steps but violates the global and local mass conservation. In particular, the total… Show more

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Cited by 4 publications
(14 citation statements)
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“…This does not compromise the reproduction of smaller scale details, gradient strength and amplitude of the relative vorticity field which agree well with the solutions of comparable resolution (ICON (Zangl et al, 2015), ECHAM (presented in Wan et al, 2013), CAM-FV, CAM-EUL, CAM-SLD, GME (compared in Jablonowski and Williamson, 2006a). 30 The surface pressure error norms with respect to CAM-SLD reference solution (not shown) are below the uncertainty level (Jablonowski and Williamson, 2006b), similar to the previous version of SL-AV model (Shashkin and Tolstykh, 2014) .…”
supporting
confidence: 72%
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“…This does not compromise the reproduction of smaller scale details, gradient strength and amplitude of the relative vorticity field which agree well with the solutions of comparable resolution (ICON (Zangl et al, 2015), ECHAM (presented in Wan et al, 2013), CAM-FV, CAM-EUL, CAM-SLD, GME (compared in Jablonowski and Williamson, 2006a). 30 The surface pressure error norms with respect to CAM-SLD reference solution (not shown) are below the uncertainty level (Jablonowski and Williamson, 2006b), similar to the previous version of SL-AV model (Shashkin and Tolstykh, 2014) .…”
supporting
confidence: 72%
“…We have described the dynamical core of SL-AV20 (semi-Lagrangian Absolute Vorticity) atmospheric model thus summarizing all recent developments in the model numerics (Fadeev, 2013;Tolstykh and Shashkin, 2012;Shashkin and Tolstykh, 2014;Shashkin et al, 2016). The model is applied to operational global numerical weather prediction with 20km resolution over Russia.…”
Section: Discussionmentioning
confidence: 99%
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