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Christopher G. Kruse, M. Joan Alexander, Lars Hoffmann, Annelize van Niekerk, Inna Polichtchouk, Julio T. Bacmeister, Laura Holt, Riwal Plougonven, Petr Šácha, Corwin Wright, Kaoru Sato, Ryosuke Shibuya, Sonja Gisinger, Manfred Ern, Catrin I. Meyer, and Olaf Stein

the MWs observed by AIRS over the period of interest ( Figs. 2 and 3 ). Two regional models [the Weather Research and Forecasting (WRF) Model and the Met Office’s Unified Model (UM)] and two global models [ECMWF’s Integrated Forecast System (IFS) and the German Weather Service’s Icosahedral Nonhydrostatic (ICON) model] were used to model the observed waves. Details of individual models’ configurations are summarized in Table 1 and described below. With the exception of the IFS, the number and

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Victor C. Mayta and Ángel F. Adames

-hourly atmospheric variables from the European Centre for Medium-Range Weather Forecasts interim reanalysis (ERA-Interim, hereafter ERA-I; Dee et al. 2011 ) are used. The ERA-I data used have a horizontal resolution of 2.5° × 2.5°. We make use of the following ERA-I fields: horizontal winds ( u and υ ), and geopotential height ( z ) at low-level (850 hPa) and upper-level troposphere (200 hPa). The horizontal winds are also used to calculate velocity potential ( χ ) as the inverse Laplacian of the

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

reduce uncertainties related to the parameterization of GWs is severely hindered by a lack of observational constraints. A single instrument or technique can only observe a certain part of the GW spectrum ( Alexander et al. 2010 ; Geller et al. 2013 ). In addition, the synthesis of available data is insufficient to construct a global reference for GW properties. In fact, many assumptions of GW parameterizations are derived from regional cloud-resolving simulations with grid spacings sufficiently

Open access
Tyler Mixa, Andreas Dörnbrack, and Markus Rapp

, 2006a : Fourier-ray modeling of short-wavelength trapped lee waves observed in infrared satellite imagery near Jan Mayen . Mon. Wea. Rev. , 134 , 2830 – 2848 , https://doi.org/10.1175/MWR3218.1 . 10.1175/MWR3218.1 Eckermann , S. D. , A. Dörnbrack , H. Flentje , S. B. Vosper , M. J. Mahoney , T. P. Bui , and K. S. Carslaw , 2006b : Mountain wave–induced polar stratospheric cloud forecasts for aircraft science flights during SOLVE/THESEO 2000 . Wea. Forecasting , 21 , 42

Open access