Author

Michael Boy

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Preprint Sep 2026

TailWeather: from tail to extremes, a global climatological dataset for machine-learning weather forecasting

TailWeather provides a reusable physical target for studying and evaluating extremes, while complementing the information in disaster catalogs, a global 0.25-degree, land-only dataset derived from ERA5 covering 1981-2022 and extending into January 2023.

Zhi-Song Liu, Michael Boy, R. Makkonen · 0 citations

#machine learning Preprint Sep 2026

Evaluation of optimisation and Bayesian inference methods for reaction rates in atmospheric chemical mechanisms

Constraining reaction rate coefficients is a central challenge in the development of explicit atmospheric chemical mechanisms, particularly for autoxidation systems where many reaction pathways are only indirectly observed through high-resolution mass spectrometry. In this study, we evaluate rate-coefficient optimisati...

Valery Ashu, W. Peng, Zhi-Song Liu et al. · 0 citations