Articles | Volume 22, issue 24
https://doi.org/10.5194/acp-22-15793-2022
https://doi.org/10.5194/acp-22-15793-2022
Research article
 | 
16 Dec 2022
Research article |  | 16 Dec 2022

Combining short-range dispersion simulations with fine-scale meteorological ensembles: probabilistic indicators and evaluation during a 85Kr field campaign

Youness El-Ouartassy, Irène Korsakissok, Matthieu Plu, Olivier Connan, Laurent Descamps, and Laure Raynaud

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Cited articles

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This work investigates the potential value of using fine-scale meteorological ensembles to represent the inherent meteorological uncertainties in atmospheric dispersion model outputs. Probabilistic scores were used to evaluate the probabilistic performance of dispersion ensembles, using an original dataset of new continuous 85Kr air concentration measurements and a well-known source term. The results show that the ensemble dispersion simulations perform better than deterministic ones.
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