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000862355 1001_ $$00000-0001-5736-1948$$aStephan, C. C.$$b0$$eCorresponding author
000862355 245__ $$aGravity waves in global high‐resolution simulations with explicit and parameterized convection
000862355 260__ $$aHoboken, NJ$$bWiley$$c2019
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000862355 520__ $$aIncreasing computing resources allow us to run weather and climate models at horizontal resolutions of 1‐10 km. At this range, which is often referred to as the convective gray zone, clouds and convective transport are partly resolved, yet models may not achieve a satisfactory performance without convective parameterizations. Meanwhile, large fractions of the gravity wave (GW) spectrum become resolved at these scales. Convectively generated GWs are sensitive to spatio‐temporal characteristics of convective cells. This raises the question of how resolved GWs respond to changes in the treatment of convection. Two global simulations with a horizontal grid spacing of 5 km are performed, one with explicit and one with parameterized convection. The latitudinal profiles of absolute zonal‐mean GW momentum flux match well between both model configurations and observations by satellite limb sounders. However, the simulation with explicit convection shows ~30‐50\% larger zonal‐mean momentum fluxes in the summer hemisphere subtropics, where convection is the dominant source of GWs. Our results imply that changes in convection associated with the choice of explicit versus parameterized convection can have important consequences for resolved GWs, with broad implications for the circulation and the transport in the middle atmosphere.
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000862355 7001_ $$0P:(DE-Juel1)169715$$aStrube, C.$$b1
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000862355 7001_ $$0P:(DE-Juel1)129117$$aErn, M.$$b3
000862355 7001_ $$0P:(DE-Juel1)129125$$aHoffmann, L.$$b4
000862355 7001_ $$0P:(DE-Juel1)129143$$aPreusse, P.$$b5
000862355 7001_ $$00000-0001-7977-5041$$aSchmidt, H.$$b6
000862355 773__ $$0PERI:(DE-600)2016800-7$$a10.1029/2018JD030073$$gp. 2018JD030073$$n8$$p4446-4459$$tJournal of geophysical research / D Atmospheres D$$v124$$x2169-8996$$y2019
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