Abstract Machine learning models based on satellite remote sensing have gained
widespread use in estimating ground-level air pollutant concentrations, which overcome the …

Identifying sources of air pollution exposure is crucial for addressing their health impacts
and associated inequities. Researchers have developed modeling approaches to resolve …

Air pollution has been standing as one of the most pressing global challenges. The
changing patterns of air pollutants at different spatial and temporal scales have been …

Carbon monoxide (CO) has negative health effects, especially on the respiratory system,
when present in large concentrations in ambient air. Therefore, it is one of the 12 air …

Cloud cover often hinders satellite-derived ozone (O 3) concentration estimation, leading to
incomplete spatial coverage. To address this limitation and obtain gap-free hourly ground …

Abstract Fine particle matter (PM 2.5) pollution is a global environmental problem and has
significant impacts on air quality and human health. Accurate prediction is crucial for …

Accurate estimation of nitrogen dioxide (NO2) levels at high spatio‐temporal resolution is
crucial for atmospheric research and public health assessments. This study introduces a …

Air pollution remains a critical global health concern, with 91% of the world's population
exposed to air quality exceeding World Health Organization (WHO) standards and indoor …

The air quality (AQ) of a given location depends mostly on two factors: emissions and
meteorological conditions. For most places on Earth, the meteorology of an area changes …

Thawing permafrost releases methane and carbon dioxide to the atmosphere, contributing
to positive feedback loop in global warming. Therefore, accurately monitoring changes in the …