GlobalHighXCH₄: Global Daily Seamless 10 km XCH₄ Dataset Over Land (2003–Present)

GlobalHighXCH4 is part of a series of long-term, seamless, global, high-resolution, and high-quality datasets of air pollutants over land (i.e., GlobalHighAirPollutants, GHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the big data-derived gapless (spatial coverage = 100%) daily 10 km (i.e., D10K) global column-averaged dry-air mole fraction of methane (XCH4) dataset over land from 2003 to the present. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R²) of 0.97 and a root-mean-square error (RMSE) of 7.51 ppb on a daily basis. If you use the GlobalHighXCH4 dataset in your scientific research, please cite the following reference (Qu et al., TGRS, 2025): Qu, Y., Wei, J., Xing, H., Shi, X., Ao, Z., and Meng, X. Global estimates of daily gapless atmospheric XCH4 concentrations fromsatellite and reanalysis data during 2003–2020. IEEE Transactions on Geoscience and Remote Sensing, 2025. https://doi.org/10.1109/TGRS.2025.3593486