Yan X(1), Zang Z(1), Liang C(1), Luo N(2), Ren R(1), Cribb M(3), Li Z(4). Author information:
(1)State Key Laboratory of Remote Sensing Science, College of Global Change and
Earth System Science, Beijing Normal University, Beijing, 100875, China.
(2)Department of Geography, San Diego State University, 5500 Campanile Dr., San
Diego, CA, 92182-4493, USA.
(3)Department of Atmospheric and Oceanic Science and ESSIC, University of
Maryland, College Park, MD, 20740, USA.
(4)Department of Atmospheric and Oceanic Science and ESSIC, University of
Maryland, College Park, MD, 20740, USA. Electronic address: [Email]
The space-borne measured fine-mode aerosol optical depth (fAOD) is a gross index of column-integrated anthropogenic particulate pollutants, especially over the populated land. The fAOD is the product of the AOD and the fine-mode fraction (FMF). While there exist numerous global AOD products derived from many different satellite sensors, there have been much fewer, if any, global FMF products with a quality good enough to understand their spatiotemporal variations. This is key to understanding the global distribution and spatiotemporal variations of air pollutants, as well as their impacts on global environmental and climate changes. Modifying our newly developed retrieval algorithm to the latest global-scale Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product (Collection 6.1), a global 10-year FMF product is generated and analyzed here. We first validate the product through comparisons with the FMF derived from Aerosol Robotic Network (AERONET) measurements. Among our 169,313 samples, the satellite-derived FMFs agreed with the AERONET spectral deconvolution algorithm (SDA)-retrieved FMFs with a root-mean-square error (RMSE) of 0.22. Analyzed using this new product are the global patterns and interannual and seasonal variations of the FMF over land. In general, the FMF is large (>0.80) over Mexico, Myanmar, Laos, southern China, and Africa and less than 0.5 in the Sahelian and Sudanian zones of northern Africa. Seasonally, higher FMF values occur in summer and autumn. The linear trend in the satellite-derived and AERONET FMFs for different countries was explored. The upward trend in the FMFs was particularly strong over Australia since 2008. This study provides a new global view of changes in FMFs using a new satellite product that could help improve our understanding of air pollution around the world.
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