Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements

Sujung Go, Jhoon Kim, Jungbin Mok, Hitoshi Irie, Jongmin Yoon, Omar Torres, Nickolay A. Krotkov, Gordon Labow, Mijin Kim, Ja Ho Koo, Myungje Choi, Hyunkwang Lim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Quantifying the spectral variation of column aerosol absorption in the ultraviolet (UV) and visible (Vis) wavelengths is required for accurate satellite-based aerosol and trace-gas retrievals. Retrievals of the column-averaged imaginary part of refractive index and single scattering albedo (SSA) in the UV–Vis range have been performed at Yonsei University, Seoul, Korea, since 2016 by combining co-located measurements from the NASA Aerosol Robotic Network (AERONET) Cimel sun-sky photometer, the Ultraviolet Multifilter Rotating Shadowband Radiometer (UV-MFRSR), the SKYNET Prede sky radiometer, and the NASA Pandora sun spectrometer. We investigated the spectral variation of column-averaged imaginary part of refractive index for UV–Vis wavelengths to refine models used in our aerosol retrieval algorithm to process measurements from the upcoming Geostationary Environment Monitoring Satellite (GEMS). The retrieved imaginary part of refractive index for highly absorbing fine pollution particles (BC), dust (DS), and non-absorbing (NA) particles in the selected UV–Vis range (380–440 nm) showed 0–20%, 30%, and 0–40% of spectral dependence, respectively. Retrievals of Ozone Monitoring Instrument (OMI) measurement data using the improved aerosol model showed improved correlation with AERONET data compared to the old algorithm that did not properly account for aerosol absorption effects. These results corroborate the advantage of using local climatology derived from ground-based UV–Vis spectral aerosol absorption measurements for satellite GEMS aerosol retrievals over East Asia. Moreover, this study reveals that spectral variations in the UV column aerosol absorption in East Asia differ from those in other regions.

Original languageEnglish
Article number111759
JournalRemote Sensing of Environment
Volume245
DOIs
Publication statusPublished - 2020 Aug

Bibliographical note

Funding Information:
The authors thank the AERONET team and the USDA UV-B Monitoring and Research Program (UVMRP). This project was supported by the Korea Ministry of Environment (MOE) as part of the Public Technology Program based on Environmental Policy ( 2017000160001 ). This research was supported by the Environment Research and Technology Development Fund (2-1901) of the Environmental Restoration and Conservation Agency of Japan, JSPS KAKENHI (grant number JP19H04235 and JP17K00529 ), the JAXA 2nd research announcement on the Earth Observations (grant number 19RT000351 ), and JST CRSET (grant number JPMJCR15K4 ). JM, NK, and OT acknowledge support from NASA Earth Science Division, specifically the US Participating Investigator program. The Dutch-Finnish-built OMI instrument is part of the NASA Earth Observing System (EOS) Aura satellite payload.

Funding Information:
The authors thank the AERONET team and the USDA UV-B Monitoring and Research Program (UVMRP). This project was supported by the Korea Ministry of Environment (MOE) as part of the Public Technology Program based on Environmental Policy (2017000160001). This research was supported by the Environment Research and Technology Development Fund (2-1901) of the Environmental Restoration and Conservation Agency of Japan, JSPS KAKENHI (grant number JP19H04235 and JP17K00529), the JAXA 2nd research announcement on the Earth Observations (grant number 19RT000351), and JST CRSET (grant number JPMJCR15K4). JM, NK, and OT acknowledge support from NASA Earth Science Division, specifically the US Participating Investigator program. The Dutch-Finnish-built OMI instrument is part of the NASA Earth Observing System (EOS) Aura satellite payload.

Publisher Copyright:
© 2020 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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