Browsing by Author "Wolke, R."

Now showing items 1-3 of 3

    • Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2 

      Giordano, L.; Brunner, D.; Flemming, J.; Hogrefe, C.; Im, U.; Bianconi, R.; Badia, A.; Balzarini, A.; Baro, R.; Chemel, C.; Curci, G.; Forkel, R.; Jimenez-Guerrero, P.; Hirtl, M.; Hodzic, A.; Honzak, L.; Jorba, O.; Knote, C.; Kuenen, J.J.P.; Makar, P.A.; Manders-Groot, A.; Neal, L.; Perez, J.L.; Pirovano, G.; Pouliot, G.; San Jose, R.; Savage, N.; Schroder, W.; Sokhi, R.S.; Syrakov, D.; Torian, A.; Tuccella, P.; Werhahn, J.; Wolke, R.; Yahya, K.; Žabkar, R.; Zhang, Y.; Galmarini, S. (2015-08)
      The Air Quality Model Evaluation International Initiative (AQMEII) has now reached its second phase which is dedicated to the evaluation of online coupled chemistry-meteorology models. Sixteen modelling groups from Europe ...

    • Evaluation of the meteorological forcing used for the Air Quality Model Evaluation International Initiative (AQMEII) air quality simulations 

      Vautard, R.; Moran, M.D.; Solazzo, E.; Gilliam, R.C.; Matthias, V.; Bianconi, R.; Chemel, C.; Ferreira, J.; Geyer, B.; Hansen, A.B.; Jericevic, A.; Prank, M.; Segers, A.; Silver, J.D.; Werhahn, J.; Wolke, R.; Rao, S.T.; Galmarini, S. (2012)
      Accurate regional air pollution simulation relies strongly on the accuracy of the mesoscale meteorological simulation used to drive the air quality model. The framework of the Air Quality Model Evaluation International ...

    • 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, ...