Murray et al.: new method on PM2.5 Bayesian Ensemble Models

We develop a method to combine PM2.5 estimated from satellite-retrieved aerosol optical depth (AOD) and chemical transport model (CTM) simulations using statistical models. While most previous methods utilize AOD or CTM separately, we aim to leverage advantages offered by both data sources in terms of resolution and coverage using Bayesian ensemble averaging. Our approach differs from previous...

Our work on satellite-based UV exposure in the US got reported by NASA Observatory

This project was funded by the NASA Applied Science Program to generate secondary data product using NASA satellite data for societal benefits. Led by Emory, the research team include researchers from CDC and University of Iowa. The full publication led by CDC researchers can be found here.

Zhou et al.: Compilation and spatio-temporal analysis of publicly available total solar and UV irradiance data in the United States

Skin cancer is the most common type of cancer in the United States, the majority of which is caused by overexposure to ultraviolet (UV) irradiance, which is one component of sunlight. Our group worked with University of Iowa and the National Environmental Public Health Tracking Program at CDC to develop and disseminate county-level daily UV irradiance (2005 - 2015) and total solar irradiance...