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Andrea Schneidereit, Silke Schubert, Pavel Vargin, Frank Lunkeit, Xiuhua Zhu, Dieter H. W. Peters, and Klaus Fraedrich

train. As this wave train is apparent throughout the troposphere ( Orsolini and Nikulin 2006 ), the large-scale flow seems to play an important role in European heat waves. Model simulations indicate that the anomalous circulation during the summer of 2010 over eastern Europe can be ascribed primarily to natural internal atmospheric variability rather than to climate change or ocean boundary conditions like sea surface temperature or sea ice extent ( Dole et al. 2011 ), reflecting changes in the

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Lars Wiegand, Arwen Twitchett, Cornelia Schwierz, and Peter Knippertz

temperature, but also for geopotential height at 500 hPa and mean sea level pressure. These examples show the wide range of possible research activities and applications feasible with forecasts from the TIGGE database. The present study adds several new aspects to the published TIGGE research. Using novel feature-based and continuous analysis tools, it thoroughly assesses the forecast performance and predictability of a pronounced RWB event and some of its impacts such as strong near-surface winds and

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Paraskevi Giannakaki and Olivia Martius

). A misrepresentation of the Rossby waveguides will result in a misforecast of Rossby wave propagation and amplification. The topic of waveguides is not only relevant for weather prediction. There is an active debate in the climate community with regard to whether a decrease in Arctic Sea ice affects the waveguide ability of the jet stream and hence the propagation and amplitude of Rossby waves (see, e.g., Hoskins and Woollings 2015 ; Barnes and Screen 2015 ). The aim of this paper is to

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Christian M. Grams and Heather M. Archambault

composites of selected recurving western North Pacific strong interaction ET cases and which serve as the initial and boundary condition data for numerical simulations with the mesoscale COSMO model ( Steppeler et al. 2003 ). These data are available on a 0.5° × 0.5° latitude–longitude grid and across 26 pressure levels. For surface parameters not available from CFSR in the layers needed for COSMO (skin and sea surface temperature, soil temperature, soil moisture, snow depth, snow layer temperature), ERA

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