Baroclinic Wave Simulation Ensemble: a Machine Learning ready dataset

Journal article

A large ensemble of 6,500 different baroclinic wave simulations have been run, processed and provided to study extra tropical cyclones and mid-latitudes dynamics. The data were generated using OpenIFS@home, an open science climateprediction.net project allowing the distribution of the computation of the ensemble with the OpenIFS 43R3v2 model. For each simulation, the cyclones were tracked and 89 features -including 16 intensity measures- were extracted. The presented dataset is composed of the raw output of the OpenIFS model for 6,388 of the 6,500 members of the ensemble and the extracted features of the tracked cyclones. The distribution of the minimum mean sea level pressure and the maximum relative vorticity at 850 hPa is plotted to enable comparison with studies that have analysed ETCs in reanalyses and climate model data. The computational failure of the missing 112 ensemble members is statistically assessed and explained. Outside of OpenIFS, the dataset and the associated code and configuration files are available and accessible.

Authors: Bouvier, C; Cornér, J; Toropainen, A; Bowery, A; Carver, G

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Nature Research
• Journal: Scientific Data
• Volume: 12
• Issue: 1
• Article number: 1811
• Publication date: 2025-11-18
• Acceptance date: 2025-10-02
• DOI: 10.1038/s41597-025-06089-z
• EISSN: 2052-4463
• ISSN: 2052-4463
• Language: English