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    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.

    Overview

    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.

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    Description
    Satellite-Derived Fine Particulate Matter (PM2.5) concentrations from the Atmospheric Composition Analysis Group and Washington University in St. Louis, version GL06.02.04
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::v6.gl.02.04
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://v6.gl.02.04/

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    How to cite

    SatPM2.5 was accessed on DATE from https://registry.opendata.aws/surface-pm2-5-v6gl .

    License

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

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