VIIRS satellite and ground pm2.5 monitoring data

contains all satellite, pm2.5, and meteorological data used in statistical modeling effort to improve prediction of pm2.5.

This dataset is associated with the following publication:
Schliep, E., A. Gelfand, and D. Holland. Autoregressive Spatially-Varying Coefficient Models for Predicting Daily PM2:5 Using VIIRS Satellite AOT. Advances in Statistical Climatology, Meteorology and Oceanography. Copernicus Publications, Katlenburg-Lindau, GERMANY, 1(0): 59-74, (2015).