2016
DOI: 10.5194/acp-16-6223-2016
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Kinematic and diabatic vertical velocity climatologies from a chemistry climate model

Abstract: Abstract. The representation of vertical velocity in chemistry climate models is a key element for the representation of the large-scale Brewer-Dobson circulation in the stratosphere. Here, we diagnose and compare the kinematic and diabatic vertical velocities in the ECHAM/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model. The calculation of kinematic vertical velocity is based on the continuity equation, whereas diabatic vertical velocity is computed using diabatic heating rates. Annual… Show more

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Cited by 13 publications
(19 citation statements)
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References 39 publications
(48 reference statements)
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“…The different calculation frameworks for EMAC and CLaMS data (kinematic vs. diabatic vertical velocities) causes differences in the results, with a noisier structure for the kinematic vertical velocity (see Hoppe et al, 2016). However, as the internal vertical coordinates in EMAC and CLaMS are pressure and potential temperature, respectively, calculating residual circulation and mixing diagnostics in the two different coordinate systems is more consistent with the respective model simulation.…”
Section: Calculation Of Residual Circulation Transit Timementioning
confidence: 67%
See 1 more Smart Citation
“…The different calculation frameworks for EMAC and CLaMS data (kinematic vs. diabatic vertical velocities) causes differences in the results, with a noisier structure for the kinematic vertical velocity (see Hoppe et al, 2016). However, as the internal vertical coordinates in EMAC and CLaMS are pressure and potential temperature, respectively, calculating residual circulation and mixing diagnostics in the two different coordinate systems is more consistent with the respective model simulation.…”
Section: Calculation Of Residual Circulation Transit Timementioning
confidence: 67%
“…Moreover, the choice of the vertical coordinate (pressure or potential temperature) may influence the AoA pattern (e.g., Mahowald et al, 2002;Hoppe et al, 2016). The recent work of Hoppe et al (2016) investigated the differences in AoA of two CCM simulations with the same underlying model, but one using a flux-form semiLagrangian scheme and corresponding kinematic vertical velocities and another simulation using a Lagrangian scheme and diabatic vertical velocities. They found out, that the difference pattern of AoA can be attributed both to the different vertical velocities and to the different transport schemes, leading to differences in aging by mixing.…”
Section: Introductionmentioning
confidence: 99%
“…9), most pronounced near 25 the poles below 50 hPa. This difference is attributed to the Eulerian vertical velocity used in the flux-form semi-Lagrangian transport scheme for the GP simulations, that shows up-and downwelling at different high latitudes, which are not related to the net tracer transport (Hoppe et al, 2016).…”
Section: Mean Age-of-airmentioning
confidence: 95%
“…In the vertical direction we may use either η-coordinate vertical velocities (η = p p0 ,η-kinematic velocity) calculated from the horizontal flux divergence using the continuity equation, or isentropic coordinates ξ , where the vertical velocitiesξ are calculated from the EMAC diabatic heating rates (diabatic velocity). The kinematic velocity is provided by default from EMAC, whereas the diabatic velocity was newly implemented similar to Eluszkiewicz et al (2000) and Hoppe et al (2016).…”
mentioning
confidence: 99%
“…The core atmospheric model of EMAC is the 5th generation of the European Centre Hamburg general circulation model ECHAM5 (Roeckner et al, 2006). Atmospheric tracer management in MESSy is treated with the submodel TRACER (Jöckel et al, 2008), providing an interface structure (memory and data management) to couple chemical processes with the base model. In the standard setup of EMAC, tracers are transported by the flux-form semi-Lagrangian (FFSL) transport scheme of Lin and Rood (1996).…”
Section: Model Description Of the Chemistry Climate Model Emacmentioning
confidence: 99%