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SatPM2.5

SatPM2.5 provides comprehensive estimates of fine particulate matter (PM2.5) concentrations by integrating aerosol optical depth from multiple satellites (MODIS, VIIRS, MISR, SeaWiFS) with simulation models (GEOS-Chem) and ground-based measurements. This geophysical estimate is further refined through statistical fusion with direct PM2.5 measurements to explain most of the variance observed. The dataset is updated yearly and is available under a Creative Commons Attribution 4.0 International license.

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SatPM2.5 offers a robust dataset for global fine particulate matter (PM2.5) concentrations. It combines information from diverse sources including satellite observations (MODIS, VIIRS, MISR, SeaWiFS), geophysical simulations (GEOS-Chem), and ground-based monitor data. The methodology involves fusing these inputs based on their relative uncertainties, which are determined using ground-based sun photometer (AERONET) observations.

This dataset is particularly valuable for environmental health studies and atmospheric research, providing crucial data for understanding air quality trends. It is managed by sites.wustl.edu/acag and is updated on a yearly basis, ensuring the availability of recent information. Users can access documentation and tutorials on importing and plotting the data, with specific examples provided for Matlab.

SatPM2.5 is hosted on the Registry of Open Data on AWS, making it easily discoverable and accessible. The data is available in netCDF format, a common standard for scientific data. Proper citation information and contact details for support are also provided, facilitating its responsible use in research and applications.

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Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.

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