This study addresses the question of how skillful regional air quality modeling can be when using downscaled globally-available emission inventories. paper applies global datasets to prepare fine-resolution priori inventories for an urban area. Emissions Database Global Atmospheric Research (EDGAR), Gridded Population World, and output from Fossil Fuel Data Assimilation System are used downscal...

To evaluate the Models-3/Community Multiscale Air Quality (CMAQ) modeling system in reproducing the spatial patterns of aerosol concentrations over the country on timescales of months and years, the spatial patterns of model output are compared with those derived from observational data. Simple spatial interpolation procedures were applied to data from the Clean Air Status and Trends Network (C...

Accurate prediction of ambient PM2.5 concentrations using air quality models can provide governments with information for public health alerts. However, due to large uncertainties input parameters and over-simplification the chemical mechanism, model simulations tend have a certain deviation from observations. To an insight into discrepancy explain contributors bias, we propose here machine lea...

Accurate characterization of land use and cover changes (LULCC) is essential for numerical models to capture LULCC-induced effects on regional meteorology air quality, while outdated LULC dataset largely limits model capability in reproducing surface parameters, particularly complex terrain. In this study, we incorporate data from MODIS 2019 into the Weather Research Forecasting (WRF) simulate ...

The organic fraction of secondary particles, commonly known as secondary organic aerosols (SOA), constitutes a significant part of fine aerosols. The formation of SOA is subject to complicated coupling among gas-phase chemical reactions, aqueous -phase, aerosol-phase, and meteorological processes. To correctly predict total particle concentrations in the atmosphere it is necessary to understand...

Abstract Trace metals in fine particulate matter (PM 2.5 ) are of significant concern environmental chemistry due to their toxicity and catalytic capability. An observation-constrained hybrid model is developed resolve regional source contributions trace other primary species PM . In this method, (PPM from the Community Multiscale Air Quality (CMAQ) Model at each monitoring location improved al...

Region-to-grid source–receptor (S/R) relationships are established for sulfur and reactive nitrogen deposition in East Asia, using the Eulerian-type Community Multiscale Air Quality (CMAQ) model with emission and meteorology data for 2001. We proposed a source region attribution methodology by analyzing the non-linear responses of the CMAQ model to emission changes. Sensitivity simulations were...

As Part III of a comprehensive evaluation of CMAQ for the summer 1999 Southern Oxidants Study episode, the observed number (N), volume (V), surface area (S), and size distributions of accumulation-mode particles during the Aerosol Research Inhalation Epidemiological Study (ARIES) are used to evaluate CMAQ’s capability in reproducing PM size distributions. CMAQ underpredicts V, S, and geometric ...