GlobalHighNO₂ (2022)

GlobalHighNO₂ is part of a series of long-term, seamless, global, high-resolution, and high-quality air pollutant datasets over land (i.e., GlobalHighAirPollutants, GHAP). It is generated using artificial intelligence by integrating multi-source data, including ground-based measurements, satellite remote sensing products, atmospheric reanalyses, and model simulations, while accounting for the spatiotemporal heterogeneity of air pollution. Here, we present the first seamless (spatial coverage = 100%), daily (D1K), monthly (M1K), and annual (Y1K) global 1-km-resolution ground-level NO₂ dataset over land. This dataset demonstrates high accuracy, with a sample-based cross-validation coefficient of determination (CV-R²) of 0.92 and a normalized root-mean-square error (NRMSE) of 0.22 for daily estimates. The current release includes data for 2022.