Long-term gapless daily global OMI nitrogen dioxide vertical column density product between 2005–2023

A novel framework is developed to recover the missing pixels in the daily global ozone monitoring instrument (OMI) NO2 vertical column density (VCD) data from 2005–2023, which can exploit the temporal autocorrelation properties of data. Validation results show that the accuracy of recovered results is satisfactory and close to that of OMI (with a decrease in the correlation coefficient of 0.03) against the Pandonia Global Network sites. The recovered results also show a high consistency with the NO2 VCD data from tropospheric monitoring instrument. Furthermore, the spatial distributions of the recovered NO2 VCD on multi-temporal scales provide detailed information, clearly revealing regional and global spatial patterns and variations. This dataset offers long-term daily seamless NO2 VCD information across the globe, which can facilitate the detection of short-term NO2 changes to identify transitory emission sources and support the analysis of long-term NO2 concentration patterns to help continuously improve air quality and other relevant research.