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  • Im, U., Bianconi, R., Solazzo, E., and et al., 2014. Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone
  • Im, U., Bianconi, R., Solazzo, E., and et al., 2014. Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter
  • Wanmin Gong and et al., 2014, Modelling aerosol-cloud-meteorology interaction: a case study with a fully coupled air quality model (GEM-MACH).
  • Roberto San Jose and et al., 2014. Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism.
  • Paul Makar and et al., 2014. Feedbacks between Air Pollution and Weather, Part 1: Effects on Weather.
  • Paul Makar and et al., 2014. Feedbacks between Air Pollution and Weather, Part 2: Effects on Chemistry.
  • Gabriele Curci and et al., 2014. Uncertainties of simulated aerosol optical properties induced by assumptions on aerosol physical and chemical properties: an AQMEII-2 perspective.
  • Dominik Brunner and et al., 2014. Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2.
  • Dominik Brunner and et al., 2014. Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2.
  • Christoph Knote and et al., 2014. Influence of the choice of gas-phase mechanism on predictions of key gaseous pollutants during the AQMEII phase-2 intercomparison.
  • Kai Wang and et al., 2014. A Multi-Model Assessment for the 2006 and 2010 Simulations under the Air Quality Model Evaluation International Initiative (AQMEII) Phase 2 over North America: Part II. Evaluation of Column Variable Predictions Using Satellite Data.
  • Pedro Jiménez-Guerrero and et al., 2014. Sensitivity analysis of the microphysics scheme in WRF-Chem contributions to AQMEII phase 2.
  • Chuen Meei Gan and et al., 2014. Assessment of the Aerosol Optics Component of the Coupled WRF-CMAQ Model using CARES Field Campaign data and a Single Column Model.
  • Joana Soares and et al., 2014. Uncertainties of wild-land fires emission in AQMEII phase 2 case study.
  • Xin Kong and et al., 2014. Analysis of Meteorology-Chemistry Interactions During Air Pollution Episodes Using Online Coupled Models within AQMEII Phase-2.
  • Renate Forkel and et al 2014. Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions.
  • Till Stoeckenius and et al., 2014. A Comparison between 2010 and 2006 Air Quality and Meteorological Conditions, and Emissions and Boundary Conditions used in Simulations of the AQMEII-2 North American Domain.
  • Kai Wang and et al., 2014. Implementation and Initial Application of New Chemistry-Aerosol Options in WRF/Chem for Simulating Secondary Organic Aerosols and Aerosol Indirect Effects for Regional Air Quality.
  • George Pouliot and et al., 2014. Analysis of the Emission Inventories and Model-Ready Emission Datasets of Europe and North America for Phase 2 of the AQMEII Project.
  • Alessandra Balzarini and et al., 2014. WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties.
  • Patrick Charles Campbell and et al., 2014. A Multi-Model Assessment for the 2006 and 2010 Simulations under the Air Quality Model Evaluation International Initiative (AQMEII) Phase 2 over North America: Part I. Indicators of the Sensitivity of O3 and PM2.5 Formation Regimes.
  • Christian Hogrefe and et al., 2014. Annual Application and Evaluation of the Online Coupled WRF-CMAQ System over North America under AQMEII Phase 2.
  • Yang Zhang and et al., 2014. Application of WRF/Chem over North America under the AQMEII Phase 2: Part I. Comprehensive Evaluation of 2006 Simulation.
  • Oriol Jorba and et al., 2014. Gas-phase evaluation of the online NMMB/BSC-CTM model over Europe for 2010 in the framework of the AQMEII-Phase2 project.