Daily NO2 Estimates with Rigorous Spatiotemporal Uncertainty Quantification for Use in Health Studies

This study will develop a novel Bayesian ensemble that integrates data from TROPOMI and TEMPO satellite instruments along with other data that can be used to (a) predict daily NO₂ concentrations, and (b) rigorously quantify spatiotemporal uncertainty for use in health studies.

The abstract for the poster presented at the 2026 HEI Annual Conference can be found here.