Aerosol Retrieval over Urban Area in MODIS Dark Target Land Algorithm
Abstract
Urban air quality in many parts of the globe has reached at dangerous level (5 to 10 times higher than WHO guidelines) as urbanization and industrialization have amplified many folds during the last few decades. More than half of the world's population now lives in urban areas and their number will increase 60% by 2030. Therefore it is very critical to monitor air quality (aerosol or PM) on a daily basis; especially in populated regions (urban areas) around the world. The new version (C6) of MODIS Dark Target Land Aerosol Algorithm (MDT) provides aerosol optical depth (AOD) retrievals at 10km2 and 3km2 spatial resolutions over dark vegetated regions. Initial validation efforts during DISCOVER-AQ field campaign over Baltimore-DC area shows that MDT overestimates AOD over urban areas, mainly because the bright and complex urban surface is not characterized properly. Accurate estimation of the surface signal within satellite-measured radiance is essential for aerosol retrieval. Surface characterization can be challenging and small error (~0.01) can produce large errors in retrieved AOD (~0.1). In this new approach, we have modified the surface characterization for urban areas, using the urban percentage information from the MODIS Land Product. We used the MODIS land surface spectral reflectance product to redefine the relationship between shortwave-IR and visible wavelengths over urban areas. We derived new surface characterization for urban area and used the DRAGON network measurements, during DISCOVER-AQ field campaigns, to validate the new AOD retrievals both in 10km and 3km spatial resolution. Initial inter-comparison with AERONET data over US shows significant improvement in AOD retrieval over urban areas. This improved AOD retrieval will be an important step toward utilization of satellite based particulate matter estimation for surface air quality monitoring. We also evaluate whether the new 3km product can enable studies of small-scale gradients in aerosol loading around large urban foot prints around the world.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2013
- Bibcode:
- 2013AGUFM.A21D0074G
- Keywords:
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- 0305 ATMOSPHERIC COMPOSITION AND STRUCTURE Aerosols and particles;
- 0345 ATMOSPHERIC COMPOSITION AND STRUCTURE Pollution: urban and regional;
- 1610 GLOBAL CHANGE Atmosphere;
- 1704 HISTORY OF GEOPHYSICS Atmospheric sciences