Pawan Gupta

TL;DR: Using 1 year of aerosol optical thickness (AOT) retrievals from the MODerate resolution Imaging Spectro-radiometer (MODIS) on board NASA's Terra and Aqua satellite along with ground measurements of PM2.5 mass concentration, the authors assess particulate matter air quality over different locations across the global urban areas spread over 26 locations in Sydney, Delhi, Hong Kong, New York City and Switzerland.

TL;DR: In this article, the authors examined whether the use of meteorological fields will improve the relationship between columnar satellite retrievals of aerosol optical thickness (AOT) with ground measurements of PM2.5.

TL;DR: The primary uses of satellite data for air quality applications are reviewed, some background information on satellite capabilities for measuring pollutants are provided, the many resources available to the end-user for accessing, processing, and visualizing the data are discussed, and answers to common questions in plain language are provided.

TL;DR: In this paper, an artificial neural network (ANN) framework was proposed to reduce the uncertainty of surface PM estimation from satellite data, using 3 years of MODIS optical thickness data at 0.55 μm and meteorological analyses from the rapid update cycle to estimate surface level PM2.5.

TL;DR: In this article, the authors analyzed the aerosol characteristics, dust loading and air quality over the Sistan region in South-West Asia, and showed that large quantities of transported dust that strongly depend on the duration of the dust events, and secondarily, on the wind speed and distance from the source region.