Peer-Reviewed Publications and Preprints

2026

Buchner, F., D. Jobst, A. Möller, and C. Czado (2026). “Bivariate postprocessing of wind vectors”. In: Quarterly Journal of the Royal Meteorological Society n/a.n/a. [doi | bib], p. e70188.

2025

Jobst, D., A. Möller, and J. Groß (2025). “D-vine Generalized Additive Model copula-based quantile regression with application to ensemble postprocessing”. In: Journal of the Royal Statistical Society Series C: Applied Statistics 74.4. [doi | bib], pp. 994-1020.

Möller, A., D. Jobst, and J. Groß (2025). “Time Series Model based Probabilistic Temperature Forecasting”. In: Proceedings of the 39th International Workshop on Statistical Modelling. Ed. by D. O’Sullivan, J. Sweeney, S. Moghaddam and K. Burke. [url | bib]. Limerick, Ireland, pp. 289 - 294.

2024

Jobst, D. (2024). “Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts”. In: arXiv. [doi | bib].

Jobst, D., A. Möller, and J. Groß (2024a). “Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas”. In: Environmetrics 35.8. [doi | bib], p. e2887.

Jobst, D., A. Möller, and J. Groß (2024b). “Time-series-based ensemble model output statistics for temperature forecasts postprocessing”. In: Quarterly Journal of the Royal Meteorological Society 150.765. [doi | bib], pp. 4838-4855.

2023

Jobst, D., A. Möller, and J. Groß (2023). “D-vine-copula-based postprocessing of wind speed ensemble forecasts”. In: Quarterly Journal of the Royal Meteorological Society 149.755. [doi | bib], pp. 2575-2597.

Demaeyer, J., J. Bhend, S. Lerch, C. Primo, B. V. Schaeybroeck, A. Atencia, Z. B. Bouallègue, J. Chen, M. Dabernig, G. Evans, J. F. Pucer, B. Hooper, N. Horat, D. Jobst, J. Merše, P. Mlakar, A. Möller, O. Mestre, M. Taillardat, and S. Vannitsem (2023). “The EUPPBench postprocessing benchmark dataset v1.0”. In: Earth System Science Data 15.6. [doi | bib], pp. 2635-2653.