We thank Swiss Re for sponsoring the project (coordination office and workshops) and ECWMF for providing the input data of ERA Interim. C. C. Raible is supported by NCCR Climate, funded by the Swiss National Science Foundation. M. L. R. Liberato was supported by the project STORMEx (FCOMP-01-0124- FEDER-019524), funded by FCT and cofunded by FEDER. N. Bellenbaum, J. G. Pinto, and S. Ulbrich thank AON Benfield Impact Forecasting for support over the EUWS project. J. Grieger and M. Schuster are supported by the DFG project SACAI (DFG-LE1865/1–3). M. G. Akperov and I. I. Mokhov are supported by the Russian Ministry of Education and Science (11.519.11.5004). We appreciate the lead authorship of C. C. Raible, S. Gulev, J. G. Pinto, G. C. Leckebusch, and X. L. Wang, respectively, for the different analysis sections of this paper.
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1The key criteria for selecting this input dataset were that it be based on a state-of-the-art model (gridded reanalysis dataset) with a four-dimensional variational data assimilation (4DVAR) scheme, be easy to access, and have a high spatial resolution. Recent intercomparisons (Allen et al. 2010; Hodges et al. 2011) have demonstrated that cyclone characteristics in ERA-Interim are quite comparable with those revealed by, for example, Modern Era Retrospective-Analysis (MERRA) and National Centers for Environmental Prediction–Climate Forecast System Reanalysis (NCEP–CFSR).