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Mozhgan Amiramjadi, Ali R. Mohebalhojeh, Mohammad Mirzaei, Christoph Zülicke, and Riwal Plougonven

:// . 10.1175/JAS-D-13-075.1 Mirzaei , M. , A. R. Mohebalhojeh , C. Zülicke , and R. Plougonven , 2017 : On the quantification of imbalance and inertia–gravity waves generated in numerical simulations of moist baroclinic waves using the WRF Model . J. Atmos. Sci. , 74 , 4241 – 4263 , . 10.1175/JAS-D-16-0366.1 Mohebalhojeh , A. R. , and D. G. Dritschel , 2004 : Contour-advective semi-Lagrangian algorithms for many

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Christoph Zülicke, Erich Becker, Vivien Matthias, Dieter H. W. Peters, Hauke Schmidt, Han-Li Liu, Laura de la Torre Ramos, and Daniel M. Mitchell

) characterized the evolution of the middle-atmosphere temperatures during the extended-time-scale recovery phase as polar-night jet oscillations (PJOs) ( Kuroda and Kodera 2004 ). The diagnosis of both elevated stratopause and PJO phenomena requires a sophisticated diagnostic algorithm while a more simple approach would be an advantage. Beside a classification of the events in categories it should work on a daily basis and should also return a continuous index. The development of such a diagnostics is one

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Gergely Bölöni, Bruno Ribstein, Jewgenija Muraschko, Christine Sgoff, Junhong Wei, and Ulrich Achatz

-friction and thermal-relaxation coefficients. The numerical implementation of a fully interactive WKB theory, allowing direct GW–mean flow interactions, is not a trivial task and should best be accompanied by validations against wave-resolving data. In a Boussinesq framework, the representation of direct GW–mean flow interactions by a WKB algorithm has been studied by Muraschko et al. (2015) for vertically propagating idealized wave packets with variable vertical wavenumber. WKB theory had been

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Andreas Dörnbrack, Sonja Gisinger, Michael C. Pitts, Lamont R. Poole, and Marion Maturilli

cloud observations: Second-generation detection algorithm and composition discrimination . Atmos. Chem. Phys. , 9 , 7577 – 7589 , doi: 10.5194/acp-9-7577-2009 . 10.5194/acp-9-7577-2009 Pitts , M. C. , L. R. Poole , A. Dörnbrack , and L. W. Thomason , 2011 : The 2009–2010 Arctic polar stratospheric cloud season: A CALIPSO perspective . Atmos. Chem. Phys. , 11 , 2161 – 2177 , doi: 10.5194/acp-11-2161-2011 . 10.5194/acp-11-2161-2011 Pitts , M. C. , L. R. Poole , A. Lambert

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Jannik Wilhelm, T. R. Akylas, Gergely Bölöni, Junhong Wei, Bruno Ribstein, Rupert Klein, and Ulrich Achatz

-scale GW field exhibits multivalued wavenumbers. This problem, also observed by Rieper et al. (2013a) , can be circumvented, however. As shown by Muraschko et al. (2015) and Bölöni et al. (2016) , a spectral approach based on phase-space wave-action density yields numerically stable and fast algorithms for the efficient integration of the coupled equations of small-scale GWs in a larger-scale flow. Building on the above brief review of related prior literature, the goals of the present paper are (i

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Mohammad Mirzaei, Ali R. Mohebalhojeh, Christoph Zülicke, and Riwal Plougonven

, 2004 : Contour-advective semi-Lagrangian algorithms for many-layer primitive-equation models . Quart. J. Roy. Meteor. Soc. , 130 , 347 – 364 , doi: 10.1256/qj.03.49 . 10.1256/qj.03.49 Mohebalhojeh , A. R. , and M. E. McIntyre , 2007 : Local mass conservation and velocity splitting in PV-based balanced models. Part I: The hyperbalance equations . J. Atmos. Sci. , 64 , 1782 – 1793 , doi: 10.1175/JAS3933.1 . 10.1175/JAS3933.1 Mohebalhojeh , A. R. , and J. Theiss , 2011 : The

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Claudia Christine Stephan, Cornelia Strube, Daniel Klocke, Manfred Ern, Lars Hoffmann, Peter Preusse, and Hauke Schmidt

WTQ GWMFs are different for the two dominant regions of GWMF. Across the six simulations, relative differences are smaller in S3D than in WTQ. By construction, the algorithm produces similar statistics in terms of fitted λ z and λ h . Indeed, Fig. 3 shows that at 0°–30°N λ z is predominantly 5–8 km and at 35°–65°S it is 8–15 km, with very good agreement between the simulations. Satellites also measure slightly longer average λ z at 35°–65°S (SABER: 11.3 km; HIRDLS: 11.5 km) than at 0

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Sonja Gisinger, Andreas Dörnbrack, Vivien Matthias, James D. Doyle, Stephen D. Eckermann, Benedikt Ehard, Lars Hoffmann, Bernd Kaifler, Christopher G. Kruse, and Markus Rapp

operational analyses, a reanalysis of the 2014 DEEPWAVE austral winter was performed using a high-altitude research version of the NAVGEM system ( Hogan et al. 2014 ). The reanalysis discussed here used a T119L74 forecast model and a T47L74 tangent linear model utilizing a four-dimensional variational data assimilation (4DVAR) algorithm in which 80-member forecast ensembles helped to define background error covariances for the analysis (so-called hybrid-4DVAR). The L74 levels have a top full model layer

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