Evaluation of the meteorological forcing used for the Air Quality Model Evaluation International Initiative (AQMEII) air quality simulations

Abstract

continents. The focus for this particular evaluation was meteorological parameters relevant to air 51 quality processes such as transport and mixing, chemistry, and surface fluxes. The unprecedented 52 scale of the exercise (one year, two continents) allowed us to examine the general characteristics of 53 meteorological models' skill and uncertainty. In particular, we found that there was a large 54 variability between models or even model versions in predicting key parameters such as surface 55 shortwave radiation. We also found several systematic model biases such as wind speed 56 overestimations, particularly during stable conditions. We conclude that major challenges still remain 57 in the simulation of meteorology, such as nighttime meteorology and cloud/radiation processes, for 58 air quality simulation. 59 60 61 -3 -

Sensitivity of the Weather Research and Forecast/Community Multiscale Air Quality modeling system to MODIS LAI, FPAR, and albedo

“…Evaluations of meteorology simulations and their impacts on air quality have been the focus of many studies [Gego et al, 2005;Gilliam et al, 2006;Vautard et al, 2012]. Grid cell volume-averaged results of temperature, moisture, wind speed, and precipitation from meteorology simulations are often compared with surface-based point measurements.…”

Online coupled regional meteorology chemistry models in Europe: current status and prospects

“…Other evaluation modes were also considered . The studies of Vautard et al (2012), Schere et al (2012) and , for example, investigated the influence of different drivers including meteorological input, grid resolution and initial conditions and boundary values, thus contributing to the diagnostic evaluation of the models. Also Forkel et al (2012) presented in Sect.…”

“…The multiscale model system COSMO-MUSCAT (Wolke et al, 2004a(Wolke et al, , b, 2012 is used for process studies as well as operational pollutant forecasting at local and regional scales. Different horizontal resolutions can be used for individual sub-domains in the developed multi-block approach, which allows finer grid sizes in selected regions of interest (e.g.…”

<i>E pluribus unum</i>*: ensemble air quality predictions

“…The community of the participating models is presented in Table 3, which forms a multi-model set in terms of meteorological driver, air quality model, emission and chemical boundary conditions. The models of Table 3 have been subject of evaluation against measurements in terms of individual model (model-to-observation) as well as of ensemble (ensemble-toobservation) comparison, for a range of pollutants and meteorological fields (Solazzo et al, 2012a, b;Vautard et al, 2012). The model settings and input data are described in detail in Solazzo et al (2012a, b), Schere et al (2012), Pouliot et al (2012), where references about model development and history are also provided.…”