GlobalHighNO₂: Global Daily Seamless 1 km Ground-Level NO₂ Dataset over Land (2018–Present)

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. This dataset contains input data, analysis codes, and the generated dataset used for the following article: Source Data Relevant raw data for each figure (compiled into a single sheet within an Excel document) in the manuscript. Code Relevant Python scripts for replicating and plotting the analysis results in the manuscript, as well as codes for converting data formats. Generated Dataset 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. Due to data volume limitations, the dataset is released separately by year: All data (including daily products) for 2018 are available at: GlobalHighNO₂ (2018) All data (including daily products) for 2019 are available at: GlobalHighNO₂ (2019) All data (including daily products) for 2020 are available at: GlobalHighNO₂ (2020) All data (including daily products) for 2021 are available at: GlobalHighNO₂ (2021) All data (including daily products) for 2022 are available at: GlobalHighNO₂ (2022) The dataset will be continuously updated. More GHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html