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

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Assessing the Effect of Uncertainty in Input Emissions on Atmospheric Chemistry Transport Model Outpefficients (local method). The propagation of uncertainty in all emissions together is investigated using a Latin hypercube sampling (LHS) global sensitivity analysis. Preliminary results show variability in the uncertainty ranges for different output species and different spatial distribution of th
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Overview and Evaluation of the Community Multiscale Air Quality (CMAQ) Modeling System Version 5.2s between CMAQv5.1 and v5.2 show that ozone (O.) mixing ratios generally increase in the summer with CMAQv5.2, which results in increased bias, while fine particulate matter (PM.) concentrations also increase in the summer, which results in decreased bias.
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The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluesent selected illustrative results on the sensitivities of the meteorological pre-processing model MPP-FMI and the roadside dispersion model CAR-FMI on the model input variables. However, the AD method in general could also be applied for analysing the sensitivities of any other atmospheric modelling system.
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A Model Evaluation Strategy Applied to Modelling of PM in the Helsinki Metropolitan Areaof agreement—type measure of agreement, and review the underlying data assumptions for the use of both measures. We then suggest a strategy to develop model evaluation statistical understanding, practice and nomenclature.
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