Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7883-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-7883-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
Data description article
 | 
29 Oct 2026
Data description article |  | 29 Oct 2026

A gapless 0.05° daytime-hourly tropospheric NO2 dataset (2019–2024) over key Asian hotspots reconstructed using physics-aware deep learning

Hongrui Gao, Qin He, Kai Qin, Jhoon Kim, Diego Loyola, Pravash Tiwari, Lingxiao Lu, and Jason B. Cohen

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Short summary
This study provides a continuous daytime-hourly tropospheric nitrogen dioxide dataset over four Asian pollution hotspots from 2019 to 2024, reconstructed using satellite observations, meteorological reanalysis, and physics-aware machine learning. The dataset fills observational gaps, captures fine-scale spatial and diurnal dynamics, and supports regional air-quality and health impact studies.
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