Abstract On-road vehicular emissions contribute to the formation of fine particulate matter and ozone which can lead increased adverse health outcomes near emission source downwind. In this study, we present a transportation-specific modeling platform utilizing community multiscale air quality model (CMAQ) with decoupled direct method (DDM) estimate impacts on-road from five vehicles classes; l...

Abstract. Plumes from the boreal spring biomass burning (BB) in northern peninsular Southeast Asia (nPSEA) are lifted into subtropical jet stream and transported deposited across nPSEA, South China, Taiwan even western North Pacific Ocean. This paper as part of Seven SouthEast Asian Studies (7-SEAS) project effort attempts to improve chemical weather prediction capability Weather Research Forec...

Three probes for diagnosing photochemical dynamics are presented and applied to specialized ambient surface-level observations and to a numerical photochemical model to better understand rates of production and other process information in the atmosphere and in the model. However, care must be taken to ensure that rate and process information is not confounded by inappropriate averaging over th...

Anthropogenic emissions play an important role in air quality forecasting. To improve the forecasting accuracy, use of nudging as data assimilation method, combined with extremely randomized trees (ExRT) machine learning was developed and applied to adjust anthropogenic Community Multiscale Air Quality modeling system (CMAQ). This nudging–ExRT method can iterate forecast is suitable for linear ...