Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types
作者: Robabeh YousefiFang WangQuansheng GeAbdallah Shaheen
作者单位: 1Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
3Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
4College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
刊名: Science of the Total Environment, 2020, Vol.722
来源数据库: Elsevier Journal
DOI: 10.1016/j.scitotenv.2020.137906
关键词: AODMERRA-2MODISTrendClassificationIran
英文摘要: Abstract(#br)The paper focuses on analysis of long-term changes of aerosol optical depth (AOD) over Iran. It describes contributions of dominant aerosol in the aerosol load over Iran covering the period 1980–2018. For this purpose, a long-term AOD dataset from the reanalysis-based Modern Era Retrospective Analysis for Research and Applications (MERRA-2), the satellite-based Moderate Resolution Imaging Spectroradiometer (the new version of MODIS/Terra and Aqua) as well as a new AOD product (MERRA-2 MODIS merged) were used. The ground-based AOD measurements of the five Aerosol Robotic Network (AERONET) sites used for validation demonstrated better consistency of the MERRA-2 MODIS merged (MMM) product. Analysis of these datasets demonstrated high AOD in the southwest of Iran because of the...
全文获取路径: Elsevier  (合作)
影响因子:3.258 (2012)

  • aerosol 气溶胶
  • dominant 优势的
  • AOD AND-OR Delay
  • identification 辨认
  • trend 
  • optical 光学的
  • depth 
  • over 在上方