Satellite remote sensing of air quality has evolved dramatically over the last decade. Global
observations are now available for a wide range of species including aerosols, tropospheric …

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

In the context of science, the well-known adage" a picture is worth a thousand words" might
well be" a model is worth a thousand datasets." In this manuscript we introduce the SciML …

In this paper, we present OmpSs, a programming model based on OpenMP and StarSs, that
can also incorporate the use of OpenCL or CUDA kernels. We evaluate the proposal on …

We present the adjoint of the global chemical transport model GEOS-Chem, focusing on the
chemical and thermodynamic relationships between sulfate–ammonium–nitrate aerosols …

This paper reviews concepts for evaluating integrated environmental models and discusses
a list of relevant software‐based tools. A simplified taxonomy for sources of uncertainty and …

Climate change, air quality, and environmental degradation are important societal
challenges for the Twenty-first Century. These challenges require an intelligent response …

Ozone (O3) is a key air pollutant that is produced from precursor emissions and has adverse
impacts on human health and ecosystems. In the US, the Clean Air Act (CAA) regulates O3 …

Efficient prediction of the air quality response to emission changes is a prerequisite for an
integrated assessment system in developing effective control policies. Yet, representing the …

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 …