Aerosol is a critical trace component of the atmosphere. Many processes in the Earth's
climate system are intimately related to aerosols via their direct and indirect radiative effects …

Approximately half of satellite aerosol retrievals are missing that limits the application of
satellite data in PM 2.5 pollution monitoring. To obtain spatiotemporally continuous PM 2.5 …

Satellite data are vital for understanding the large-scale spatial distribution of particulate
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …

Abstract Fine particulate matter (PM 2.5) has attracted extensive attention because of its
baneful influence on human health and the environment. However, the sparse distribution of …

High-resolution data of fine particulate matters (PM 2.5) are of great interest for air pollution
prevention and control. However, due to the uneven spatial distribution of ground stations …

Investigating spatiotemporal variations of atmospheric aerosols is important for climate
change and environmental research. Although satellite aerosol optical depth (AOD) …

In spite of the state-of-the-art performances of machine learning in the PM 2.5 estimation, the
high-value PM 2.5 underestimation and non-random aerosol optical depth (AOD) missing …

Accurate estimation of fine particulate matter with diameter≤ 2.5 μm (PM2. 5) at a high
spatiotemporal resolution is crucial for the evaluation of its health effects. Previous studies …

Despite the availability of numerous satellite-based machine-learning methods for
supplementing air quality monitoring data, models estimating ground-level PM 2.5 …

High ambient concentrations of fine particulate matter (PM 2.5) increase the hazardousness
of air pollution. Aerosol optical depth (AOD) retrieved by sun-synchronous or geostationary …