Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms

摘要

An effective Simplified Aerosol Retrieval Algorithm (SARA) based on real viewing geometry and encompassing a wide range of aerosol conditions and types (ωo= 0.30-1.0)was tested over Beijing, a city under the influence of both anthropogenic emissions and dust storms. The SARA AODwas retrieved at seven resolutions (500 m, 1 km, 2 km, 4 km, 6 km, 8 km, and 10 km) usingMODIS level 1 and 2 data products (MOD02,MOD03, andMOD09) for the years 2012 and 2013. For comparison purposes, theMODIS dark-target (DT) AOD observations at 10 km resolution were obtained for the same time period. Both algorithms, SARA and MODIS DT were validated using Beijing_RADI and Beijing_CAMS AERONET AOD measurements and accuracywas evaluated using the Confidence Envelope of Expected Error (CEEE). The SARA AOD achieved very high correlation (0.972-0.994) with low Root Mean Square Error (RMSE ~ 0.067-0.133) and very high accuracy (87-95%). In comparison, theMODIS DT algorithm overestimated AOD for both low and high AOD observations with large RMSE (0.115-0.342) and very low accuracy (20-52%). The robustness and accuracy of SARA and theMODIS DT algorithms for low(AOD < 0.40) and high (AOD>0.40) aerosol loadings was evaluated using the Fraction of Expected Error (FEE). The SARA algorithm achieved 46-60% higher average accuracy than the MODIS DT algorithm indicating SARA's greater accuracy and reliability in AOD retrieval over Beijing under low and high aerosol loadings, including severe dust storms. The SARA algorithm is unique among satellite based AOD retrievals, in its ability to depict extreme dust storms (AOD ~ 5.0) at fine spatial resolution (500 m) over urban and suburban areas such as Beijing, XiangHe and the Bohai Sea, as is demonstrated by the dust storm of 17th April 2006.