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Earth Systems and Environment

, Volume 3, Issue 3, pp 563–573 | Cite as

Spatiotemporal Investigations of Aerosol Optical Properties Over Bangladesh for the Period 2002–2016

  • Md. Nazrul IslamEmail author
  • Md. Arfan Ali
  • Md. Monirul Islam
Original Article
  • 32 Downloads

Abstract

This study investigates the aerosol optical properties over Bangladesh using Terra MODIS-based collection 06 (DT and DB) aerosol optical depth (AOD), ozone monitoring instrument (OMI)-based aerosol absorption optical depth (AAOD), emission database for global atmospheric research (EDGAR) measured black carbon (BC) and organic carbon (OC), and modern-era retrospective analysis for research and applications (MERRA) retrieved dust. In addition, ground-based aerosol robotic network (AERONET) retrieved optical properties such as aerosol volume size distribution, single scattering albedo (SSA), and asymmetry parameter (ASY) are studied in understanding the behavior of aerosol properties. Both the satellite-based MODIS DB and DT algorithms detect the high AOD (> 0.5) all over Bangladesh except for a small portion in the eastern side. High AOD is also observed in all seasons except for SON. AOD significantly (at 95% level) increased over the period 2002–2016. The correlation coefficient between MODIS and AERONET AOD at Dhaka University site is 0.78 (0.76) for DT (DB). The Expected Error envelope is found 75.70% (54.38%) with small (large) RMSE for DT (DB) product. OMI-based AAOD indicates the presence of absorbing aerosols over the study area which is confirmed with AEROENT-based SSA and ASY. Three different types of absorbing aerosols such as BC, OC, and dust are identified from the EDGAR and MERRA data. In Bangladesh, the BC, OC, and dust are significantly (at 95% level) increasing. Further work is suggested to simulate and assess aerosols against the observations, which will help projecting aerosols in the future climate.

Keywords

Aerosols Bangladesh Collection 06 algorithm MODIS AEROENT 

Notes

Acknowledgements

We are grateful to the NASA Goddard Earth Science Data and Information Services Center (GES DISC) for providing the satellite-based MODIS aerosol products and AERONET data at 550 nm. The computational work is carried out on the Aziz Supercomputer at King Abdulaziz University’s High Performance Computing Centre, Jeddah, Saudi Arabia.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Compliance with Ethical Standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Copyright information

© King Abdulaziz University and Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Center of Excellence for Climate Change Research/Department of MeteorologyKing Abdulaziz UniversityJeddahSaudi Arabia
  2. 2.Department of Electrical and Electronic EngineeringBegum Rokeya UniversityRangpurBangladesh

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