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High Resolution Aerosol Data from MODIS Satellite for Urban Air Quality StudiesThe Moderate Resolution Imaging Spectroradiometer (MODIS) provides daily global coverage, but the 10 km resolution of its aerosol optical depth (AOD) product is not suitable for studying spatial variability of aerosols in urban areas. Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm was developed for MODIS which provides AOD at 1 km resolution. Using MAIAC data, the relationship between MAIAC AOD and PM(sub 2.5) as measured by the 27 EPA ground monitoring stations was investigated. These results were also compared to conventional MODIS 10 km AOD retrievals (MOD04) for the same days and locations. The coefficients of determination for MOD04 and for MAIAC are R(exp 2) =0.45 and 0.50 respectively, suggested that AOD is a reasonably good proxy for PM(sub 2.5) ground concentrations. Finally, we studied the relationship between PM(sub 2.5) and AOD at the intra-urban scale (10 km) in Boston. The fine resolution results indicated spatial variability in particle concentration at a sub-10 kilometer scale. A local analysis for the Boston area showed that the AOD-PM(sub 2.5) relationship does not depend on relative humidity and air temperatures below approximately 7 C. The correlation improves for temperatures above 7 - 16 C. We found no dependence on the boundary layer height except when the former was in the range 250-500 m. Finally, we apply a mixed effects model approach to MAIAC aerosol optical depth (AOD) retrievals from MODIS to predict PM(sub 2.5) concentrations within the greater Boston area. With this approach we can control for the inherent day-to-day variability in the AOD-PM(sub 2.5) relationship, which depends on time-varying parameters such as particle optical properties, vertical and diurnal concentration profiles and ground surface reflectance. Our results show that the model-predicted PM(sub 2.5) mass concentrations are highly correlated with the actual observations (out-of-sample R(exp 2) of 0.86). Therefore, adjustment for the daily variability in the AOD-PM(sub 2.5) relationship provides a means for obtaining spatially-resolved PM(sub 2.5) concentrations.
Document ID
20150006839
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Chudnovsky, A.
(Harvard School of Public Health Boston, MA, United States)
Lyapustin, A.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Wang, Y.
(Maryland Univ. Baltimore County Baltimore, MD, United States)
Tang, C.
(Harvard School of Public Health Boston, MA, United States)
Schwartz, J.
(Harvard School of Public Health Boston, MA, United States)
Koutrakis, P.
(Harvard School of Public Health Boston, MA, United States)
Date Acquired
April 27, 2015
Publication Date
November 13, 2013
Publication Information
Publication: Central European Journal of Geosciences
Publisher: Springer
Volume: 6
Issue: 1
Subject Category
Environment Pollution
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN22009
Funding Number(s)
CONTRACT_GRANT: NNX10AT36A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
remote sensing
urban air quality
MAIAC
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