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

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

doi:https://doi.org/10.5194/essd-14-907-2022

Articles | Volume 14, issue 2

https://doi.org/10.5194/essd-14-907-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-907-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

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

Supplement

https://doi.org/10.5194/essd-14-907-2022-supplement

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 PM_2.5 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.