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 152.778. [doi | bib], p. e70188.

Jobst, D. (2026). “Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts”. In: Environmetrics 37.6. [doi | bib], p. e70145.

Möller, A., D. Jobst, and F. Buchner (2026). “Vine Copula-Based Probabilistic Weather Forecasting: Review, Challenges, and Future Work”. In: Statistical Dependence Modeling: Festschrift in Honor of Claudia Czado. Ed. by T. Nagler, D. Kurowicka, R. Cooke and H. Joe. [doi | bib]. Springer Nature Switzerland, pp. 283-315.

Möller, A., D. Jobst, and J. Groß (2026). “The zero-degree of freedom chi-squared distribution in a gradient-boosting framework for probabilistic precipitation forecasting”. In: Proceedings of the 40th International Workshop on Statistical Modelling. Ed. by R. D. Bin, C. B. Salucci and A. Hubin. [url | bib]. Oslo, Norway: Statistical Modelling Society, pp. 361-364.

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: Statistical Modelling Society, pp. 289 - 294.

2024

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

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.

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.