Titlebook: Air Pollution Modeling and its Application XXV; Clemens Mensink,George Kallos Conference proceedings 2018 Springer International Publishin

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Modelling Concentrations and Trends of Atmospheric Pollutants in the Arctic over a 37 Years Periodanish Eulerian Hemispheric Model (DEHM). The observed and simulated trends have been analysed at a number of sites in the Arctic. The levels of SO. are decreasing over the simulated period, which follows the decreased anthropogenic emission in source areas. Differences in trends between sites can be

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A Long-Term Re-Analysis of Atmospheric Composition and Air Qualityion. The goals of the re-analysis were to assess the multi-decade evolution of atmospheric composition and air quality at several spatial scales and to evaluate the performance of SILAM dispersion model in this large-scale exercise. The dataset covered troposphere and the stratosphere, main anthropo

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Intercomparison of Chemical Mechanisms for European Air Quality Policy Formulation and Assessmentssment. Box modelling techniques were employed using a range of background environmental conditions across Europe. Although the chemical mechanisms gave strikingly similar base case ozone production rates, their responses to 30% NO. and VOC reductions showed significant dispersion. These 30% reducti

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Overview and Evaluation of the Community Multiscale Air Quality (CMAQ) Modeling System Version 5.2in 2017. The new model includes numerous updates from the previous version of the model (CMAQv5.1). Specific updates include a new windblown dust scheme; updates to the organic aerosol treatment; updates to the atmospheric chemistry, including the Carbon-Bond 6 chemical mechanism; and various update

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A Comprehensive Performance Evaluation of the Next Generation of the Canadian Operational Regional A air quality model, which consists of an on-line chemical transport model embedded within the GEM model, ECCC’s multi-scale operational weather forecast model. A new version of GEM-MACH, version 2, which is based on the next-generation version of GEM, became operational earlier this year (2016) afte

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Assessing the Effect of Uncertainty in Input Emissions on Atmospheric Chemistry Transport Model Outp a quantitative understanding of the level of uncertainty associated with model outputs. Conventionally, model assessment studies direct attention to uncertainties in parameter values and model-specific structural and computational errors. Here, we investigate uncertainty in model outputs as a funct