Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2425-2024
https://doi.org/10.5194/essd-16-2425-2024
Data description paper
 | 
22 May 2024
Data description paper |  | 22 May 2024

LGHAP v2: a global gap-free aerosol optical depth and PM2.5 concentration dataset since 2000 derived via big Earth data analytics

Kaixu Bai, Ke Li, Liuqing Shao, Xinran Li, Chaoshun Liu, Zhengqiang Li, Mingliang Ma, Di Han, Yibing Sun, Zhe Zheng, Ruijie Li, Ni-Bin Chang, and Jianping Guo

Viewed

Total article views: 1,856 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,429 332 95 1,856 114 75 63
  • HTML: 1,429
  • PDF: 332
  • XML: 95
  • Total: 1,856
  • Supplement: 114
  • BibTeX: 75
  • EndNote: 63
Views and downloads (calculated since 05 Jan 2024)
Cumulative views and downloads (calculated since 05 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,856 (including HTML, PDF, and XML) Thereof 1,801 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Nov 2024
Download
Short summary
A global gap-free high-resolution air pollutant dataset (LGHAP v2) was generated to provide spatially contiguous AOD and PM2.5 concentration maps with daily 1 km resolution from 2000 to 2021. This gap-free dataset has good data accuracies compared to ground-based AOD and PM2.5 concentration observations, which is a reliable database to advance aerosol-related studies and trigger multidisciplinary applications for environmental management, health risk assessment, and climate change analysis.
Altmetrics
Final-revised paper
Preprint