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Type: Journal Article
Author(s): Alexei Lyapustin; Sujung Go; Sergey Korkin; Yujie Wang; Omar Torres; Hiren Jethva; Alexander Marshak
Publication Date: 2021

A new algorithm is described for joint retrievals of the aerosol optical depth and spectral absorption from EPIC observations in the UV—Vis spectral range. The retrievals are illustrated on examples of the wildfire smoke events over North America, and dust storms over greater Sahara region in 2018. An initial evaluation of single scattering albedo (SSA) at 443 nm over these regions shows a good agreement with AERONET data, generally within the uncertainty of AERONET SSA of ± 0.03. A particularly good agreement is achieved for dust with R~0.62, rmse~0.02, negligible bias, and 85% points within the expected error. This new capability is part of version 2 MAIAC EPIC algorithm. The v2 algorithm has recently completed reprocessing of the EPIC record covering the period of 2015–2020.

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Citation: Lyapustin, Alexei; Go, Sujung; Korkin, Sergey; Wang, Yujie; Torres, Omar; Jethva, Hiren; Marshak, Alexander. 2021. Retrievals of aerosol optical depth and spectral absorption from DSCOVR EPIC. Frontiers in Remote Sensing 2:645794.

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Regions:
Alaska    California    Eastern    Great Basin    Hawaii    Northern Rockies    Northwest    Rocky Mountain    Southern    Southwest    International    National
Keywords:
  • aerosol
  • biomass burning
  • EPIC
  • MAIAC - Multi‐angle Implementation of Atmospheric Correction
  • mineral dust
  • spectral absorption
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 63035