Enhanced validation and application of satellite-derived formaldehyde data for assessing photochemical pollution in the Chinese Greater Bay Area.

Formaldehyde (HCHO) is a key player in photochemical processes and serves as a crucial precursor in the formation of hydroxyl radicals and ozone (O). While satellite observations can offer extensive spatiotemporal distributions of HCHO at both global and regional scales, the reliability of these satellite-derived HCHO measurements remains uncertain. In this study, we generated a five-year (June 2018-May 2023) Level 3 HCHO dataset, by applying spatial averaging technique to the TROPOspheric Monitoring Instrument (TROPOMI) Level 2 data. We validated this dataset against ground-based HCHO and O measurements collected from 12 sites across the Greater Bay Area (GBA) in China, a region known for severe photochemical pollution. Our results indicated that the Level 3 HCHO dataset significantly outperforms the Level 2 HCHO data in representing the spatial distribution (r > 0.5) and temporal variation of surface HCHO. Moreover, Level 3 HCHO exhibited a stronger correlation (r > 0.65) with surface O compared to surface HCHO, particularly during periods of intense photochemical pollution. With reduced interference from primary HCHO emissions at the surface, Level 3 HCHO offers a more accurate representation of photochemical pollution. Additionally, the combination of Level 3 HCHO, ground-based measurements, and model simulations highlighted the central GBA as a persistent hotspot for photochemical pollution. Further analysis identified anthropogenic volatile organic compounds, especially those emitted from solvent use, as key contributors to the formation of photochemical pollution in the region. This study provides a more reliable satellite-derived HCHO dataset for the GBA and offers critical insights into the spatiotemporal variability and mitigation of surface O in this heavily polluted area.