Articles | Volume 12, issue 1
https://doi.org/10.5194/esd-12-1-2021
https://doi.org/10.5194/esd-12-1-2021
Research article
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06 Jan 2021
Research article | Highlight paper |  | 06 Jan 2021

Evaluating the dependence structure of compound precipitation and wind speed extremes

Jakob Zscheischler, Philippe Naveau, Olivia Martius, Sebastian Engelke, and Christoph C. Raible

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Cited articles

Ban, N., Schmidli, J., and Schaer, C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geophys. Res.-Atmos., 119, 889–7907, https://doi.org/10.1002/2014JD021478, 2014. a
Barry, R. G.: Mountain weather and climate, Cambridge University Press, Cambridge, UK, 2008. a
Bevacqua, E., Maraun, D., Vousdoukas, M. I., Voukouvalas, E., Vrac, M., Mentaschi, L., and Widmann, M.: Higher probability of compound flooding from precipitation and storm surge in Europe under anthropogenic climate change, Science Advances, 5, eaaw5531, https://doi.org/10.1126/sciadv.aaw5531, 2019. a
Bracegirdle, T. J., Shuckburgh, E., Sallee, J.-B., Wang, Z., Meijers, A. J. S., Bruneau, N., Phillips, T., and Wilcox, L. J.: Assessment of surface winds over the Atlantic, Indian, and Pacific Ocean sectors of the Southern Ocean in CMIP5 models: historical bias, forcing response, and state dependence, J. Geophys. Res-Atmos., 118, 547–562, https://doi.org/10.1002/jgrd.50153, 2013. a
Catto, J. L. and Pfahl, S.: The importance of fronts for extreme precipitation, J. Geophys. Res-Atmos., 118, 10791–10801, https://doi.org/10.1002/jgrd.50852, 2013. a
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Compound extremes such as heavy precipitation and extreme winds can lead to large damage. To date it is unclear how well climate models represent such compound extremes. Here we present a new measure to assess differences in the dependence structure of bivariate extremes. This measure is applied to assess differences in the dependence of compound precipitation and wind extremes between three model simulations and one reanalysis dataset in a domain in central Europe.
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