Articles | Volume 10, issue 2
https://doi.org/10.5194/ascmo-10-105-2024
https://doi.org/10.5194/ascmo-10-105-2024
02 Sep 2024
 | 02 Sep 2024

Parametric model for post-processing visibility ensemble forecasts

Ágnes Baran and Sándor Baran

Data sets

EUPPBench postprocessing benchmark dataset - station data (v1.0) J. Bhend et al. https://doi.org/10.5281/zenodo.7708362

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Short summary
The paper proposes a novel parametric model for statistical post-processing of visibility ensemble forecasts; investigates various approaches to parameter estimation; and, using two case studies, provides a detailed comparison with the existing state-of-the-art forecasts. The introduced approach consistently outperforms both the raw ensemble forecasts and the reference parametric post-processing method.