Publications

Baran, S., and S. Lerch (2015): Log-normal distribution based EMOS models for probabilistic wind speed forecasting. Quarterly Journal of the Royal Meteorological Society, in press. Available at onlinelibrary.wiley.com/doi/10.1002/qj.2521/abstract

Engelke, S., Kabluchko, Z. and Schlather, M. (2013). Maxima of independent, non-identically distributed Gaussian vectors. In press at Bernoulli available at http://arxiv.org/abs/1205.0947

Engelke, S., A. Malinowski, Z. Kabluchko, and M. Schlather (2014): Estimation of Hüsler-Reiss distributions and Brown-Resnick processes. J. R. Statist. Soc., Ser. B, Online.

Engelke, S., Malinowski, A., Oesting, M. and Schlather, M. (2014). Representation of max-stable processes based on single extreme events. In press at Adv Appl Probab. Available at http://arxiv.org/abs/1209.2303

Engelke, S., A. Malinowski, M. Oesting, and M. Schlather (2014): Statistical inference for max-stable processes by conditioning on extreme events. Advances in Applied Probability, 46, 478-495.

Friederichs, P. and Thorarinsdottir, T.L. (2012). Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction. Environmetrics, 23, 579–594.

Lerch, S. and Thorarinsdottir, T. L. (2013). Comparing nonhomogeneous regression models for probabilistic wind speed forecasting. Available at http://arxiv.org/abs/1305.2026

Oesting, M., and Schlather, M. (2013). Conditional sampling for max-stable processes with a mixed moving maxima representation. Available at http://link.springer.com/article/10.1007/s10687-013-0178-1

Oesting, M., Schlather, M. and Friederichs, P. (2013). Conditional modelling of extreme wind gusts by bivariate Brown-Resnick processes. Available at http://arxiv.org/abs/1312.4584

Oesting, M., Schlather, M. and Zhou, C. (2013). On the normalized spectral representation of max-stable proceses on a compact set. Submitted to Bernoulli. Available at http://arxiv.org/abs/1310.1813

Schefzik, R., Thorarinsdottir, T. L. and Gneiting, T. (2013). Uncertainty quantification in complex simulation models using ensemble copula coupling. Available at http://projecteuclid.org/euclid.ss/1386078881

Schefzik, R. (2013). Ensemble copula coupling as a multivariate discrete copula approach. Available at http://arxiv.org/abs/1305.3445

Schefzik, R. (2015): Physically Coherent Probabilistic Weather Forecasts Using Multivariate Discrete Copula-based Ensemble Postprocessing Methods. PhD thesis, Heidelberg University. Available at http://archiv.ub.uni-heidelberg.de/volltextserver/18028

Schlather, M. (2014) A parameteric variogram model bridging between stationary and intrinsically stationary processes. Available at http://arxiv.org/abs/1412.1914.

Schlather, M., A. Malinowski, P. Menck, M. Oesting, and K. Strokorb (2013): New features of the R package RandomFields: Analysis and simulation of multivariate random fields. Submitted to the Journal of Statistical Software, 2013. Available at http://phase.hpcc.jp/mirrors/stat/R/CRAN/doc/packages/RandomFields.pdf

Schlather, M., A. Malinowski, M. Oesting, D. Boecker, K. Strokorb, S. Engelke, J. Martini, P. Menck, S. Gross, K. Burmeister, J. Manitz, R. Singleton, B. Pfaff, and R Development Core Team (2015): RandomFields: Simulation and Analysis of Random Fields. R package version 3.0.55.

Strokorb, K., F. Ballani, and M. Schlather (2014): Tail correlation functions of max-stable processes: Construction principles, recovery and diversity of some mixing max-stable processe with identical TCF. Accepted by Extremes.

Strokorb, K., and Schlather, M. (2013). An exceptional max-stable process fully parameterized by its extremal coefficients. In press at Bernoulli (available online).

Thorarinsdottir, T. L., Scheuerer, M. and Heinz, C. (2014). Assessing the calibration of high-dimensional ensemble forecasts using rank histograms. Under revision at J Comput Graph Stat. Available at http://arxiv.org/abs/1310.0236

Weijenborg, C., P. Friederichs, and A. Hense (2014): Organisation of potential vorticity during severe convection. Tellus A (under revision)

Bachelor, Master and Diploma theses within WEX-MOP:

Barbic, M. (2013): Untersuchung von Erhaltungsgrößen auf ihre Eignung als Prediktoren f ür Extreme in COSMO-DE-EPS. Bachelor Thesis, Universität Bonn.

Bierdel, L. B. (2012): Mesoskalige Turbulenz in dem konvektionsauflosenden Wettervorhersagemodell COSMO-DE-EPS. Master thesis, Universität Bonn.

Heinz, C. (2012): Calibration of forecast trajectories. Bachelor thesis, Heidelberg University. Available at http://www.nr.no/~thordis/files/Heinz2012.pdf.

Lerch, S. (2012): Verification of probabilistic forecasts for rare and extreme events. Diploma thesis, Heidelberg University. Available at http://www.nr.no/~thordis/files/Lerch2012.pdf.

Memmel, S. (2012): A Bayesian Hierarchical Model for the Estimation of Wind Gusts. Diploma thesis, Universität Bonn.

Renkl, C. (2013). The vertical structure of the atmosphere in COSMO-DE-EPS: Multivariate ensemble postprocessing in the space of vertical normal modes. Master thesis, Universität Bonn.

Schefzik, R. (2011): Ensemble copula coupling. Diploma thesis, Heidelberg University. Available at http://www.nr.no/~thordis/files/Schefzik2011.pdf.