LGHAP v2: Global Daily 1-km Gap-Free AOD Grids (2000-2021)

Global land area daily aerosol optical depth (AOD) and PM2.5 concentration data from 2000 to 2021 at 1-km resolution. The dataset was created by Kaixu Bai at East China Normal University using an attention-reinforced tensor construction framework integrating satellite, ground monitor, and model data.

Use Cases

• Analyzing long-term global air pollution trends based on the 22-year daily time series.
• Modeling PM2.5 exposure for public health studies based on the near-surface concentration data.
• Validating satellite-derived AOD products based on the gap-free, multi-source integrated grids.
• Studying regional aerosol transport and climate effects based on the high-resolution global coverage.

Strengths

• 22-year temporal coverage from 2000 to 2021.
• High spatial resolution of 1 kilometer for global land area.
• Gap-free data generation via integration of multimodal sources.
• Includes both AOD and near-surface PM2.5 concentration variables.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

East China Normal University

Collection Method

Integration of multimodal AODs and air quality measurements from satellites, ground monitors, and numerical models using an attention-reinforced tensor construction framework.

Time Range

2000 to 2021

Geography

Global land area