Frank Freedman – NASA HEALTH AND AIR QUALITY APPLIED SCIENCES TEAM – UW–Madison

A Satellite-Dispersion Modeling System to Generate High-Resolution Downscaled PM2.5 Fields

Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps

Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps

Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models

Field testing a low-cost passive aerosol sampler for long-term measurement of ambient PM2.5 concentrations and particle composition

Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: A case study in Imperial County, California, USA

Spatial Particulate Fields during High Winds in the Imperial Valley, California

Estimating PM2.5 in Southern California using satellite data: factors that affect model performance

Composition of particulate matter during a wildfire smoke episode in an urban area