Suchergebnisse

Preface -- Organizing Committee -- Honorary Life Members -- History of the International Technical Meeting (ITM) on Air Pollution Modeling and Its Application -- NATO/CCMS International Technical Meetings (ITM) on Air Pollution Modeling and Its Application -- NATO/SPS International Technical Meetings (ITM) on Air Pollution Modeling and Its Application -- International Technical Meetings (ITM) on Air Pollution Modeling and Its Application -- List of Participants -- Contents -- Contributors -- Long Term Modeling and Trend Analysis -- 1 The Intellectual History of Air Pollution Modelling as Represented by the ITM Meeting Series -- 1.1 Introduction -- 1.2 Air Pollution Modelling: The State of the Art in 1969 -- 1.3 First Generation Air Pollution Models in Early ITMs -- 1.3.1 Analytical Modelling Continues -- 1.4 Development of Second Generation Air Pollution Models -- 1.4.1 Long-Range Transport of Air Pollution -- 1.4.2 Chernobyl and Its ``fallout'' -- 1.5 Miscellany -- 1.5.1 Model Evaluation and AQMEII -- 1.5.2 Large Eddy Simulation and Direct Numerical Simulation -- 1.5.3 Ensemble Modelling -- 1.5.4 Reduced Equation Set Chemical Modelling -- 1.6 What Comes Next? -- 1.7 Conclusion -- References -- 2 A Modeling Study of the Influence of Hemispheric Transport on Trends in O3 Distributions Over North America -- Abstract -- 2.1 Introduction -- 2.2 Model Setup -- 2.3 Results and Discussion -- Questions and Answers -- References -- 3 Dynamic Evaluation of Two Decades of CMAQ Simulations over the Continental United States -- Abstract -- 3.1 Introduction -- 3.2 Methodology -- 3.2.1 Data and Models -- 3.2.2 Data Analysis Techniques -- 3.3 Results and Discussion -- Acknowledgements -- Questions and Answers -- References -- 4 On Regional Modeling to Support Air Quality Policies -- Abstract -- 4.1 Introduction -- 4.2 Data and Method of Analysis

The Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) and the LIdar-Radiometer Inversion Code (LIRIC) provide the opportunity to study the aerosol vertical distribution by combining ground-based lidar and sun-photometric measurements. Here, we utilize the capabilities of both algorithms for the characterization of Saharan dust and marine particles, along with their mixtures, in the south-eastern Mediterranean during the CHARacterization of Aerosol mixtures of Dust and Marine origin Experiment (CHARADMExp). Three case studies are presented, focusing on dust-dominated, marine-dominated and dust–marine mixing conditions. GARRLiC and LIRIC achieve a satisfactory characterization for the dust-dominated case in terms of particle microphysical properties and concentration profiles. The marine-dominated and the mixture cases are more challenging for both algorithms, although GARRLiC manages to provide more detailed microphysical retrievals compared to AERONET, while LIRIC effectively discriminates dust and marine particles in its concentration profile retrievals. The results are also compared with modelled dust and marine concentration profiles and surface in situ measurements. ; The research leading to these results has received funding from the European Union's Horizon 2020 Research and Innovation Programme ACTRIS-2 (grant agreement no. 654109). The work has been developed under the auspices of the ESA-ESTEC project "Characterization of Aerosol mixtures of Dust And Marine origin" contract no. IPL-PSO/FF/lf/14.489. The work was also supported by the European Research Council under the European Community's Horizon 2020 research and innovation framework programme/ERC grant agreement 725698 (D-TECT). The publication was supported by the European Union's Horizon 2020 Research and Innovation programme under grant agreement no. 602014, project ECARS (East European Centre for Atmospheric Remote Sensing). The authors acknowledge support through the Stavros Niarchos Foundation. BSC-DREAM8b simulations were performed on the Mare Nostrum supercomputer hosted by the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC). ; Peer Reviewed ; Postprint (published version)

The Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) and the LIdar-Radiometer Inversion Code (LIRIC) provide the opportunity to study the aerosol vertical distribution by combining ground-based lidar and sun-photometric measurements. Here, we utilize the capabilities of both algorithms for the characterization of Saharan dust and marine particles, along with their mixtures, in the south-eastern Mediterranean during the CHARacterization of Aerosol mixtures of Dust and Marine origin Experiment (CHARADMExp). Three case studies are presented, focusing on dust-dominated, marine-dominated and dust–marine mixing conditions. GARRLiC and LIRIC achieve a satisfactory characterization for the dust-dominated case in terms of particle microphysical properties and concentration profiles. The marine-dominated and the mixture cases are more challenging for both algorithms, although GARRLiC manages to provide more detailed microphysical retrievals compared to AERONET, while LIRIC effectively discriminates dust and marine particles in its concentration profile retrievals. The results are also compared with modelled dust and marine concentration profiles and surface in situ measurements. ; The research leading to these results has received funding from the European Union's Horizon 2020 Research and Innovation Programme ACTRIS-2 (grant agreement no. 654109). The work has been developed under the auspices of the ESA-ESTEC project "Characterization of Aerosol mixtures of Dust And Marine origin" contract no. IPL-PSO/FF/lf/14.489. The work was also supported by the European Research Council under the European Community's Horizon 2020 research and innovation framework programme/ERC grant agreement 725698 (D-TECT). The publication was supported by the European Union's Horizon 2020 Research and Innovation programme under grant agreement no. 602014, project ECARS (East European Centre for Atmospheric Remote Sensing). The authors acknowledge support through the Stavros Niarchos Foundation. BSC-DREAM8b simulations were performed on the Mare Nostrum supercomputer hosted by the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC). ; Peer Reviewed ; Postprint (published version)