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

Muhammad Bilal, Janet Elizabeth Nichol, Pak W. Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

68 Citations (Scopus)

Abstract

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 AOD was retrieved at seven resolutions (500m, 1km, 2km, 4km, 6km, 8km, and 10km) using MODIS level 1 and 2 data products (MOD02, MOD03, and MOD09) for the years 2012 and 2013. For comparison purposes, the MODIS dark-target (DT) AOD observations at 10km 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 accuracy was 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, the MODIS 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 the MODIS 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 (500m) over urban and suburban areas such as Beijing, XiangHe and the Bohai Sea, as is demonstrated by the dust storm of 17th April 2006.
Original languageEnglish
Pages (from-to)50-60
Number of pages11
JournalRemote Sensing of Environment
Volume153
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • AERONET
  • AOD
  • Beijing
  • Dust storm
  • MOD04
  • SARA

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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