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000151845 0247_ $$2doi$$a10.5194/gmdd-7-1759-2014
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000151845 037__ $$aFZJ-2014-01703
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000151845 1001_ $$0P:(DE-Juel1)144192$$aHoppe, Charlotte$$b0$$eCorresponding author$$ufzj
000151845 245__ $$aThe implementation of the CLaMS Lagrangian transport core into the chemistry climate model EMAC 2.40.1: application on age of air and transport of long-lived trace species
000151845 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2014
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000151845 520__ $$a Lagrangian transport schemes have proven to be useful tools for modelling stratospheric trace gas transport since they are less diffusive than classical Eulerian schemes and therefore especially well suited for maintaining steep tracer gradients. Here, we present the implementation of the full-Lagrangian transport core of the Chemical Lagrangian Model of the Stratosphere (CLaMS) into the ECHAM/MESSy Atmospheric Chemistry model (EMAC). We performed a ten-year time-slice simulation to evaluate the coupled model system EMAC/CLaMS. Simulated zonal mean age of air distributions are compared to age of air derived from airborne measurements, showing a good overall representation of the stratospheric circulation. Results from the new Lagrangian transport scheme are compared to tracer distributions calculated with the standard flux-form semi-Lagrangian (FFSL) transport scheme in EMAC. The differences in the resulting tracer distributions are most pronounced in the regions of strong transport barriers. The polar vortices are presented as an example and simulated trace gas distributions are compared to satellite measurements. The analysis of CFC-11, N2O, CH4, and age of air in the polar vortex regions shows that the CLaMS Lagrangian transport scheme produces a stronger, more realistic transport barrier at the edge of the polar vortex than the FFSL transport scheme of EMAC. Differences in simulated age of air range up to one year in the Arctic polar vortex in late winter/early spring. The new coupled model system EMAC/CLaMS thus constitutes a suitable tool for future model studies of stratospheric tracer transport.
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000151845 7001_ $$0P:(DE-Juel1)129125$$aHoffmann, L.$$b1$$ufzj
000151845 7001_ $$0P:(DE-Juel1)129130$$aKonopka, P.$$b2$$ufzj
000151845 7001_ $$0P:(DE-Juel1)129122$$aGrooß, J.-U.$$b3$$ufzj
000151845 7001_ $$0P:(DE-Juel1)129141$$aPloeger, F.$$b4$$ufzj
000151845 7001_ $$0P:(DE-Juel1)129123$$aGünther, G.$$b5$$ufzj
000151845 7001_ $$0P:(DE-HGF)0$$aJöckel, P.$$b6
000151845 7001_ $$0P:(DE-Juel1)129138$$aMüller, Rolf$$b7$$ufzj
000151845 773__ $$0PERI:(DE-600)2456729-2$$a10.5194/gmdd-7-1759-2014$$gVol. 7, no. 2, p. 1759 - 1790$$n2$$p1759 - 1790$$tGeoscientific model development discussions$$v7$$x1991-962X$$y2014
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000151845 9141_ $$y2014
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