Daily NO2 Concentrations and Uncertainty Levels for New York State, 1-km Grids, 2015

We applied bneR to estimate NO2 concentrations and characterize uncertainty levels at high spatio-temporal resolution (daily, 1 km2) over New York State (NYS) for 2015. bneR is an automated workflow for ensemble modeling that applies BNE. BNE uses existing exposure models as inputs, which can be systematically biased in certain regions, and weighs them by their spatio-temporal accuracy to produce concentrations and uncertainties. BNE is trained using EPA AQS measurements to obtain this new model data product that is consistently accurate over space and time, and provides uncertainty estimates. BNE derived concentrations and uncertainties can be used for propagating the uncertainty estimates in air pollution health impacts assessments, among other potential uses.