V5.GL.01

We estimate annual and monthly ground-level fine particulate matter (PM₂.₅) for 1998-2019 by combining Aerosol Optical Depth (AOD) retrievals from the NASA MODIS, MISR, and SeaWIFS instruments with the GEOS-Chem chemical transport model, and subsequently calibrating to global ground-based observations using a Geographically Weighted Regression (GWR), as detailed in the below reference for V5.GL.01.

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Reference:

Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309. [Link]

Scientific Datasets:

Annual and monthly datasets are provided in NetCDF [.nc] format. Gridded files use the WGS84 projection. Please contact our Support Team (support@satpm.org) for further information.

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Note that these estimates are primarily intended to aid in large-scale studies. Annual and coarse-resolution averages correspond to a simple mean of within-grid values. Gridded datasets are provided to allow users to agglomerate data as best meets their particular needs. High resolution (0.01° × 0.01°) datasets are gridded at the finest resolution of the information sources that were incorporated, but are unlikely to fully resolve PM₂.₅ gradients at the gridded resolution due to influence by information sources at coarser resolution.

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Annual and monthly mean PM₂.₅ [µg/m3] at 0.01° × 0.01°:
[https://wustl.box.com/v/ACAG-V5GL01-GWRPM25]

Annual and monthly mean PM₂.₅ [µg/m3] at 0.1° × 0.1°:
[https://wustl.box.com/v/ACAG-V5GL01-GWRPM25c]

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Annual and monthly mean PM₂.₅ Uncertainty [µg/m3] at 0.01° × 0.01°:
[https://wustl.box.com/v/ACAG-V5GL01-GWRPM25E]

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SatPM₂.₅ data V5.GL.02 are licensed under CC BY 4.0