Publications

2024

Climatology of mesoscale high-wind features within extratropical cyclones over Europe using a probabilistic random forest
Eisenstein, L.; Knippertz, P.; Schulz, B.; Pinto, J. G.
2024. 104th AMS Annual Meeting, 28 Jan.–02 Feb. 2024, Baltimore, MD, USA, Article no: E17, American Meteorological Society

2023

Predictability of Rainfall over Equatorial East Africa in the ECMWF Ensemble Reforecasts on short to medium-range time scales
Ageet, S.; Fink, A. H.; Maranan, M.; Schulz, B.
2023. Weather and Forecasting, 1–37. doi:10.1175/WAF-D-23-0093.1

Statistical Postprocessing of Numerical Weather Prediction Forecasts using Machine Learning. PhD dissertation
Schulz, B.
2023, May 25. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158905

Identification and climatology of high wind features within European winter storms
Eisenstein, L.; Schulz, B.; Pinto, J. G.; Knippertz, P.
2023. 2nd/9th MedCyclones & European Storm Workshop (2023), Toulouse, France, June 28–30, 2023

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology over Europe
Eisenstein, L.; Schulz, B.; Pinto, J. G.; Knippertz, P.
2023. Weather and Climate Dynamics, 4 (4), 981–999. doi:10.5194/wcd-4-981-2023

Identification of high-wind features within extratropical cyclones in observations and gridded data
Eisenstein, L.; Schulz, B.; Knippertz, P.; Pinto, J. G.
2023. 103rd AMS Annual Meeting (2023), Denver, CO, USA, January 8–12, 2023

2022

Extratropical high-wind feature identification using a probabilistic random forest
Eisenstein, L.; Schulz, B.; Knippertz, P.; Pinto, J.
2022. European Geosciences Union General Assembly (EGU 2022), Online, May 23–27, 2022

Extratropical high-wind feature identification using a probabilistic random forest
Eisenstein, L.; Schulz, B.; Knippertz, P.; Pinto, J.
2022. EMS Annual Meeting (2022), Bonn, Germany, September 4–9, 2022

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 1: Method and case studies
Eisenstein, L.; Schulz, B.; Qadir, G. A.; Pinto, J. G.; Knippertz, P.
2022. Weather and Climate Dynamics, 3 (4), 1157–1182. doi:10.5194/wcd-3-1157-2022

Objective identification of high-wind features within extratropical cyclones using a probabilistic random forest
Eisenstein, L.; Schulz, B.; Knippertz, P.; Pinto, J.
2022. 102nd AMS Annual Meeting (2022), Online, January 23–27, 2022

2021

Statistical-Dynamical Forecasting of Sub-Seasonal North Atlantic Tropical Cyclone Occurrence
Maier-Gerber, M.; Fink, A. H.; Riemer, M.; Schoemer, E.; Fischer, C.; Schulz, B.
2021. Weather and forecasting, 36 (6), 2127–2142. doi:10.1175/WAF-D-21-0020.1