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    • Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data 

      Kioutsioukis, I.; Im, U.; Solazzo, E.; Bianconi, R.; Badia, A.; Balzarini, A.; Baró, R.; Bellasio, R.; Brunner, D.; Chemel, Charles; Curci, G.; Denier van der Gon, H.; Flemming, J.; Forkel, R.; Giordano, L.; Jiménez-Guerrero, P.; Hirtl, M.; Jorba, O.; Manders-Groot, A.; Neal, L.; Pérez, J. L.; Pirovano, G.; San Jose, R.; Savage, N.; Schroder, W.; Sokhi, Ranjeet; Syrakov, D.; Tuccella, P.; Werhahn, J.; Wolke, R.; Hogrefe, C.; Galmarini, S. (2016-12-20)
      Simulations from chemical weather models are subject to uncertainties in the input data (e.g. emission inventory, initial and boundary conditions) as well as those intrinsic to the model (e.g. physical parameterization, ...