Publications

(2022). Predicting power ramps from joint distributions of future wind speeds. Wind Energy Science.

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(2021). Fighting the wicked problem of plastic pollution and its consequences for developing regions with expert and crowd solutions. Proceedings of the 54rd Annual Hawaii International Conference on System Sciences.

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(2020). Circular regression trees and forests with an application to probabilistic wind direction forecasting. Journal of the Royal Statistical Society: Series C (Applied Statistics).

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(2020). Multivariate distributional regression forests for probabilistic nowcasting of wind profiles. Proceedings of the 35th International Workshop on Statistical Modelling.

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(2020). Statistical post-processing with standardized anomalies based on a 1 km gridded analysis. Meteorologische Zeitschrift.

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(2020). Remember the past: A comparison of time-adaptive training schemes for non-homogeneous regression. Nonlinear Processes in Geophysics.

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(2020). How text mining algorithms for crowdsourcing can help us to identify today's pressing societal issues. Proceedings of the 53rd Annual Hawaii International Conference on System Sciences.

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(2019). Bivariate Gaussian models for wind vectors in a distributional regression framework. Advances in Statistical Climatology, Meteorology and Oceanography.

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(2019). Distributional trees for circular data. Proceedings of the 34th International Workshop on Statistical Modelling.

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(2019). Correlation effects in a bivariate Gaussian regression model for wind vectors. Proceedings of the 34th International Workshop on Statistical Modelling.

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(2015). On the vertical exchange of heat, mass, and momentum over complex, mountainous terrain. Frontiers in Earth Science.

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(2015). The impact of embedded valleys on daytime pollution transport over a mountain range. Atmospheric Chemistry and Physics.

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