V3.01
Global Estimates
- retired -
References:
Boys, B.L., Martin, R.V., van Donkelaar, A., MacDonell, R., Hsu, N.C., Cooper, M.J., Yantosca,R.M., Lu, Z., Streets,D.G., Zhang,Q., Wang,S., Fifteen-year global time series of satellite-derived fine particulate matter, Environ. Sci. Technol, 10.1021/es502113p, 2014. [Link]
van Donkelaar, A., R. V. Martin, M. Brauer and B. L. Boys, Global fine particulate matter concentrations from satellite for long-term exposure assessment, Environmental Health Perspectives, 123, 135-143, DOI:10.1289/ehp.1408646, 2015. [Link]
Scientific Datasets:
Global resolved datasets are provided in an ArcGIS-compatible ASCII file. Country means are provided in a comma separated ascii (.csv) format. Other extractions can often be produced upon request.
All Composition:
Satellite-Derived PM₂.₅, 3-yr mean, at 35% RH [µg/m3] Resolved [.asc.zip] Country Mean [.csv]
Satellite-Derived PM₂.₅ Trend, 1998-2012, at 35% RH [µg/m3] Resolved [.asc.zip]
Dust and Sea-Salt Removed:
Satellite-Derived PM₂.₅, 3=yr mean, at 35% RH [µg/m3] Resolved [.asc.zip] Country Mean [.csv]
Format:
All data are provided in a GIS-friendly ASCII format.
Ground-level PM₂.₅ observations collected for validation of van Donkelaar et al. (above) are also publicly available in an Excel spreadsheet [.xlsx].
SatPM₂.₅ data V3.GL.01 are licensed under CC BY 4.0