Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016

The Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016, consists of mean concentrations of particulate matter (PM2.5) for countries and urban areas. The PM2.5 data are from the Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016. The urban areas are from the Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extent Polygons, Revision 02, and its time series runs from 1998 to 2016. The country averages are population-weighted such that concentrations in populated areas count more toward the country average than concentrations in less populated areas, and its time series runs from 2008 to 2015.

Data and Resources

Additional Info

Field Value
Maintainer undefined
Last Updated July 17, 2025, 17:22 (UTC)
Created April 23, 2025, 23:02 (UTC)
accessLevel public
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citation Center for International Earth Science Information Network - CIESIN - Columbia University. 2021-04-06. Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016. Version 1.00. Palisades, NY. Archived by National Aeronautics and Space Administration, U.S. Government, NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/rja8-8h89. https://doi.org/10.7927/rja8-8h89.
creator Center for International Earth Science Information Network - CIESIN - Columbia University
graphic-preview-description Sample browse graphic of the data set.
graphic-preview-file https://sedac.ciesin.columbia.edu/downloads/maps/sdei/sdei-annual-pm2-5-concentrations-countries-urban-areas-v1-1998-2016/sedac-logo.jpg
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harvest_source_title DNG Legacy Data
identifier C2038014399-SEDAC
issued 2021-04-06
language {en-US}
metadata_type geospatial
modified 2023-01-25
programCode {026:001}
publisher SEDAC
references {https:/doi.org/10.7927/49vn-7351}
release-place Palisades, NY
resource-type Dataset
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source_schema_version 1.1
spatial -180.0 -54.85 180.0 69.85
temporal 1998-01-01T00:00:00Z/2016-12-31T00:00:00Z
theme {SDEI,geospatial}