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. 2015 May 12;9(Suppl 1):41–52. doi: 10.4137/EHI.S15664

Table 2.

Datasets used in this study.

EARTH OBSERVATION DATA, MODEL, AND TOOL PRODUCT (NAME AND RESOLUTION) VARIABLES RELATION TO PM2.5 ABUNDANCE
NASA GMAO GEOS 5 MERRA Thirty-eight surface layer and land surface variables are used, including the height of the planetary boundary layer, precipitation, the surface humidity, wind speed, temperature, and density Factors related to the production, dispersion, or removal of boundary layer PM2.5
MERRA
1979 to present
2/3° × 1/2° (Lat., Long.)
SeaWIFS
1997–2010
Deep Blue
0.5° × 0.5°
Aerosol optical depth, angstrom exponent, single scattering albedo, viewing geometry, illumination geometry, surface reflectivity, and assorted flags Measure of total aerosol abundance in a vertical atmospheric profile
MODIS Terra & Aqua
2000–present
2002–present
MOD04
MYD04
Collection
5.1 10 km × 10 km
Deep Blue and Standard retrievals of aerosol optical depth, viewing geometry, illumination geometry, surface reflectivity, and assorted flags Measure of total aerosol abundance in a vertical atmospheric profile
MODIS
2000–present
MCD43C3
0.05° × 0.05°
Seven wavelength band surface reflectance Related to surface sources of PM2.5 and AOD biases
MODIS
2000–present
MCD45A1
500 m
Gridded burned area product, which contains burning and quality information on a per-pixel basis Fires are a major source of PM2.5

Abbreviations: AOD, aerosol optical depth; GMAO, global modeling and assimilation office; MERRA, modern-era retrospective analysis for research and applications; MODIS, moderate resolution imaging spectroradiometer; SeaWIFS, sea-viewing wide field-of-view sensor.