Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-907-2022
https://doi.org/10.5194/essd-14-907-2022
Data description paper
 | 
24 Feb 2022
Data description paper |  | 24 Feb 2022

LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion

Kaixu Bai, Ke Li, Mingliang Ma, Kaitao Li, Zhengqiang Li, Jianping Guo, Ni-Bin Chang, Zhuo Tan, and Di Han

Data sets

Daily 1 km gap-free AOD grids in China K. Bai, K. Li, Z. Tan, D. Han, and J. Guo https://doi.org/10.5281/zenodo.5652257

Daily 1 km gap-free PM2.5 grids in China K. Bai, K. Li, Z. Tan, D. Han, and J. Guo https://doi.org/10.5281/zenodo.5652265

Daily 1 km gap-free PM10 grids in China K. Bai, K. Li, Z. Tan, D. Han, and J. Guo https://doi.org/10.5281/zenodo.5652263

Monthly averaged 1 km gap-free AOD, PM2.5 and PM10 grids in China K. Bai, K. Li, Z. Tan, D. Han, and J. Guo https://doi.org/10.5281/zenodo.5655797

Annual mean 1 km gap-free AOD, PM2.5 and PM10 grids in China K. Bai, K. Li, Z. Tan, D. Han, and J. Guo https://doi.org/10.5281/zenodo.5655807

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Short summary
The Long-term Gap-free High-resolution Air Pollutant concentration dataset, providing gap-free aerosol optical depth (AOD) and PM2.5 and PM10 concentration with a daily 1 km resolution for 2000–2020 in China, is generated and made publicly available. This is the first long-term gap-free high-resolution aerosol dataset in China and has great potential to trigger multidisciplinary applications in Earth observations, climate change, public health, ecosystem assessment, and environment management.
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