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1255185 
Journal Article 
A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations 
Lee, HJ; Liu, Y; Coull, BA; Schwartz, J; Koutrakis, P 
2011 
Yes 
Atmospheric Chemistry and Physics
ISSN: 1680-7316
EISSN: 1680-7324 
11 
15 
7991-8002 
English 
WOS:000293826500035 
has other version or edition 3198426 A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations
Epidemiological studies investigating the human health effects of PM2.5 are susceptible to exposure measurement errors, a form of bias in exposure estimates, since they rely on data from a limited number of PM2.5 monitors within their study area. Satellite data can be used to expand spatial coverage, potentially enhancing our ability to estimate location-or subject-specific exposures to PM2.5, but some have reported poor predictive power. A new methodology was developed to calibrate aerosol optical depth (AOD) data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS). Subsequently, this method was used to predict ground daily PM2.5 concentrations in the New England region. 2003 MODIS AOD data corresponding to the New England region were retrieved, and PM2.5 concentrations measured at 26 US Environmental Protection Agency (EPA) PM2.5 monitoring sites were used to calibrate the AOD data. A mixed effects model which allows day-today variability in daily PM(2.)5-AOD relationships was used to predict location-specific PM2.5 levels. PM2.5 concentrations measured at the monitoring sites were compared to those predicted for the corresponding grid cells. Both cross-sectional and longitudinal comparisons between the observed and predicted concentrations suggested that the proposed new calibration approach renders MODIS AOD data a potentially useful predictor of PM2.5 concentrations. Furthermore, the estimated PM2.5 levels within the study domain were examined in relation to air pollution sources. Our approach made it possible to investigate the spatial patterns of PM2.5 concentrations within the study domain. 
Aqualine Abstracts; Water Resources Abstracts; ASFA 2: Ocean Technology Policy & Non-Living Resources; Meteorological & Geoastrophysical Abstracts; Pollution Abstracts; Particle size; Variability; USA, New England; Environmental Protection; spatial distribution; Atmospheric pollution; Satellite data; Pollution effects; Optical depth of aerosols; Public health; Monitoring; Particulate atmospheric pollution; Prediction; Imaging techniques; Remote Sensing; Exposure; Air Pollution; Satellite Technology; Calibrations; Atmospheric pollution models; Satellites; Atmospheric chemistry; Optical analysis; Aerosols; MODIS (Moderate Resolution Imaging Spectrometer); P 0000:AIR POLLUTION; AQ 00008:Effects of Pollution; M2 551.510.42:Air Pollution (551.510.42); Q2 09222:Methods and instruments; SW 5010:Network design