Abstract. Vehicle emissions have become a major source of air pollution in urban areas, especially for near-road environments, where the characteristics are difficult to capture by single-scale quality model due complex composition underlying surface. Here we developed hybrid CMAQ-RLINE_URBAN quantitatively analyze effects vehicle on roadside NO2 concentrations at high spatial resolution 50 m ×...

Mathematics anxiety (MA) has primarily been studied in adults and children over 8 years of age English-speaking countries. Few studies have examined MA younger Spanish-speaking contexts due to the lack suitable instruments. In present study we examine psychometric properties Child Anxiety Questionnaire (CMAQ-R), an instrument widely used primary school children. A total 810 Chilean second-grade...

Quantile functions are important in characterizing the entire probability distribution of a random variable, especially when the tail of a skewed distribution is of interest. This article introduces new quantile function estimators for spatial and temporal data with a fused adaptive Lasso penalty to accommodate the dependence in space and time. This method penalizes the difference among neighbo...

An integrated approach to modeling atmospheric chemistry with trace gas data assimilation is a relatively new focus of the atmospheric chemistry modeling community. It is expected that the predictive capability of CTMs can be significantly improved by assimilating measurements of key trace gases from satellite-based platforms and surface monitors. Ensemble adjustment Kalman filter (EAKF) method...

This paper is Part II in a pair of papers that examines the results of the Community Multiscale Air Quality (CMAQ) model version 4.5 (v4.5) and discusses the potential explanations for the model performance characteristics seen. The focus of this paper is on fine particulate matter (PM2.5) and its chemical composition. Improvements made to the dry deposition velocity and cloud treatment in CMAQ...

Evaluation of the Community Multiscale Air Quality (CMAQ) model v5.0 against size-resolved measurements of inorganic particle composition across sites in North America C. G. Nolte, K. W. Appel, J. T. Kelly, P. V. Bhave, K. M. Fahey, J. L. Collett Jr., L. Zhang, and J. O. Young Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, Office of Research and Development, ...

A real-time air quality forecasting system (Eta-Community Multiscale Air Quality [CMAQ] model suite) has been developed by linking the National Centers for Environmental Estimation Eta model to the U.S. Environmental Protection Agency (EPA) CMAQ model. This work presents results from the application of the Eta-CMAQ modeling system for forecasting ozone (O3) over the Northeastern United States d...