Jessica H. Belle

TL;DR: A random forest model incorporating aerosol optical depth data, meteorological fields, and land use variables to estimate daily 24 h averaged ground-level PM2.5 concentrations over the conterminous United States in 2011 is developed.

TL;DR: The impacts of snow and cloud covers on AOD and PM2.5 predictions are examined and the proposed methods can be generalized to the areas with extensive snow/cloud covers and large proportions of missing satellite AOD data for predicting PM2-5 levels with high resolutions and complete coverage.

TL;DR: Air quality researchers should carefully balance the needs for coverage and accuracy, and develop additional data screening criteria based on their study design, to ensure appropriate use of satellite-retrieved aerosol optical depth values.

TL;DR: This development delay summarizes the adverse impact of climate change on WSH-attributable infectious diseases in China, and can be used in other settings where a significant health burden may accompany future changes in climate even as the total burden of disease falls due to non-climate reasons.

TL;DR: It is concluded that AOD retrieved by geostationary satellites could serve as a new valuable data source for analyzing the heavy air pollution episodes.