Numerical models that combine weather forecasting and atmospheric chemistry are here
referred to as chemical weather forecasting models. Eighteen operational chemical weather …

Chemical data assimilation is the process by which models use measurements to produce
an optimal representation of the chemical composition of the atmosphere. Leveraging …

Mechanistic air pollution modeling is essential in air quality management, yet the extensive
expertise and computational resources required to run most models prevent their use in …

Ozone (O3) isopleths describe the nonlinear responses of O3 concentrations to changes in
nitrogen oxides (NO X) and volatile organic compounds (VOCs) and thus are pivotal to the …

Electricity generation is a large contributor to fine particulate matter (PM2. 5) air pollution.
However, the demographic distribution of the resulting exposure is largely unknown. We …

It is challenging to estimate the public health costs of fine particulate matter (PM 2.5) and its
precursor emissions accurately and quickly for policy research because of their complex …

Influences of specific sources of inorganic PM 2.5 on peak and ambient aerosol
concentrations in the US are evaluated using a combination of inverse modeling and …

Source culpability assessments are useful for developing effective emissions control
programs. The Integrated Source Apportionment Method (ISAM) has been implemented in …

China's strategy to concurrently address climate change and air pollution mitigation is
hindered by a lack of comprehensive information on source contributions to health damage …

The COVID-19 quarantine in China is thought to have reduced ambient air pollution. The
overall exposure of the population also depends, however, on indoor air quality and human …