Browsing by Author "Jorba, O."

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 ...

    • Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model - Part 2 : Experimental campaigns in Northern Africa 

      Haustein, K.; Perez, C.; Baldasano, J. M.; Jorba, O.; Basart, S.; Miller, R. L.; Janjic, Z.; Black, T.; Nickovic, S.; Todd, M. C.; Washington, R.; Mueller, D.; Tesche, Matthias; Weinzierl, B.; Esselborn, M.; Schladitz, A. (2012)
      The new NMMB/BSC-Dust model is intended to provide short to medium-range weather and dust forecasts from regional to global scales. It is an online model in which the dust aerosol dynamics and physics are solved at each ...

    • 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, ...