The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016 consist of annual concentrations (micrograms per cubic meter) of ground-level fine particulate matter (PM2.5), with dust and sea-salt removed. This data set combines AOD retrievals from multiple satellite instruments including the NASA Moderate Resolution Imaging Spectroradiometer (MODIS), Multi-angle Imaging SpectroRadiometer (MISR), and the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS). The GEOS-Chem chemical transport model is used to relate this total column measure of aerosol to near-surface PM2.5 concentration. Geographically Weighted Regression (GWR) is used with global ground-based measurements to predict and adjust for the residual PM2.5 bias per grid cell in the initial satellite-derived values. These estimates are primarily intended to aid in large-scale studies. Gridded data sets at 0.01 degrees are provided to allow users to agglomerate data as best meets their particular needs. Data sets are gridded at the finest resolution of the information sources that were incorporated, but do not fully resolve PM2.5 gradients at the gridded resolution due to influence by information sources at coarser resolutions. The data are distributed as GeoTIFF files and are in WGS 84 projection.
N: 69.85 S: -54.85 E: 180.0 W: -180.0
Archive: PDF, PNG, WMS, GeoTIFFDistribution: PDF, PNG, WMS, GeoTIFF
|Temporal Extent:||Platform(s):||MODELS, Aqua, Terra, OrbView-2|
|Data Center(s):||SEDAC||Instrument(s):||Computer, MODIS, MISR, SEAWIFS|
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Title: Use of Satellite Observations for Long-term Exposure Assessment of Global Concentrations of Fine Particulate Matter
Publication Date: 2015-02-01
Author(s): van Donkelaar, A., R. V. Martin, M. Brauer, and B. L. Boys
Series: Environmental Health Perspectives
Title: Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites
Publication Date: 2016-02-01
Author(s): van Donkelaar, A., R. V. Martin, M. Brauer, N. C. Hsu, R. A. Kahn, R. C. Levy, A. Lyapustin, A. M. Sayer, and D. M. Winker
Series: Environmental Science & Technology
|Project Short Name||Campaigns||Project Dates|
|SDEI||No campaigns listed.||No dates provided.|
|Coverage Type||Zone Identifier||Geometry||Granule Representation|
|Datum Name||Ellipsoid Name||Semi Major Axis||Flattening Ratio Denominator|
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