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a r t i c l e i n f o a b s t r a c t Southeast Asia (SEA) hosts one of the most complex aerosol systems in the world, with con-voluted meteorological scales, sharp geographic and socioeconomic features, high biological productivity, mixtures of a wide range of atmospheric pollutants, and likely a significant susceptibility to global climate change. This(More)
2 = 0.85, while for the regional method, we apply results in τ MODIS = 1.02 τ AERONET + 0.04, R 2 = 0.92. This improved performance is maintained even for high-resolution retrieval down to 1.5 km with a regression of τ MODIS = 0.96 τ AERONET + 0.02, R 2 = 0.88. In addition, we show that this method can be extended to other urban scenes such as Mexico City(More)
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