SatPM2.5

Description

Fine particulate matter (PM2.5) concentrations are estimated using information from satellite-, simulation- and monitor-based sources. Aerosol optical depth from multiple satellites (MODIS, VIIRS, MISR, SeaWiFS, and VIIRS) and their respective retrievals (Dark Target, Deep Blue, MAIAC) is combined with simulation (GEOS-Chem) based upon their relative uncertainties as determined using ground-based sun photometer (AERONET) observations to produce geophysical estimates that explain most of the variance in ground-based PM2.5 measurements. A subsequent statistical fusion incorporates additional information from ground-based PM2.5 measurements.

Update Frequency

Yearly

License

Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)

Documentation

https://sites.wustl.edu/acag/datasets/surface-pm2-5/#V6.GL.02

Managed By

https://sites.wustl.edu/acag/

See all datasets managed by https://sites.wustl.edu/acag/.

Contact

randall.martin@wustl.edu

How to Cite

SatPM2.5 was accessed on DATE from https://registry.opendata.aws/surface-pm2-5-v6gl02.

Usage Examples

Tutorials

• Importing and Plotting the V6.GL.02.02 dataset into Matlab by Aaron van Donkelaar
  

Publications

• Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning by Siyuan Shen, Chi Li, Aaron van Donkelaar, Nathan Jacobs, Chenguang Wang, and Randall V. Martin