Literature DB >> 32742281

Utilization of O4 slant column density to derive aerosol layer height from a spaceborne UV-Visible hyperspectral sensor: Sensitivity and case study.

Sang Seo Park1, Jhoon Kim1, Hanlim Lee1,2, Omar Torres3, Kwang-Mog Lee4, Sang Deok Lee5.   

Abstract

The sensitivities of oxygen-dimer (O4) slant column densities (SCDs) to changes in aerosol layer height are investigated using the simulated radiances by a radiative transfer model, the Linearlized pseudo-spherical vector discrete ordinate radiative transfer (VLIDORT), and the Differential Optical Absorption Spectroscopy (DOAS) technique. The sensitivities of the O4 index (O4I), which is defined as dividing O4 SCD by 1040 molecules2cm-5, to aerosol types and optical properties are also evaluated and compared. Among the O4 absorption bands at 340, 360, 380, and 477 nm, the O4 absorption band at 477 nm is found to be the most suitable to retrieve the aerosol effective height. However, the O4I at 477 nm is significantly influenced not only by the aerosol layer effective height but also by aerosol vertical profiles, optical properties including single scattering albedo (SSA), aerosol optical depth (AOD), particle size, and surface albedo. Overall, the error of the retrieved aerosol effective height is estimated to be 1276, 846, and 739 m for dust, non-absorbing, and absorbing aerosol, respectively, assuming knowledge on the aerosol vertical distribution shape. Using radiance data from the Ozone Monitoring Instrument (OMI), a new algorithm is developed to derive the aerosol effective height over East Asia after the determination of the aerosol type and AOD from the MODerate resolution Imaging Spectroradiometer (MODIS). About 80% of retrieved aerosol effective heights are within the error range of 1 km compared to those obtained from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) measurements on thick aerosol layer cases.

Entities:  

Year:  2016        PMID: 32742281      PMCID: PMC7394340          DOI: 10.5194/acp-16-1987-2016

Source DB:  PubMed          Journal:  Atmos Chem Phys        ISSN: 1680-7316            Impact factor:   6.133


  6 in total

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Journal:  Nature       Date:  2002-09-12       Impact factor: 49.962

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Authors:  Y Sasano
Journal:  Appl Opt       Date:  1996-08-20       Impact factor: 1.980

4.  Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing.

Authors:  Yang Liu; Jeremy A Sarnat; Vasu Kilaru; Daniel J Jacob; Petros Koutrakis
Journal:  Environ Sci Technol       Date:  2005-05-01       Impact factor: 9.028

5.  Aerosols, cloud microphysics, and fractional cloudiness.

Authors:  B A Albrecht
Journal:  Science       Date:  1989-09-15       Impact factor: 47.728

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Authors:  C Hermans; A C Vandaele; M Carleer; S Fally; R Colin; A Jenouvrier; B Coquart; M F Mérienne
Journal:  Environ Sci Pollut Res Int       Date:  1999       Impact factor: 4.223

  6 in total
  1 in total

1.  Tropospheric Emissions: Monitoring of Pollution (TEMPO).

Authors:  P Zoogman; X Liu; R M Suleiman; W F Pennington; D E Flittner; J A Al-Saadi; B B Hilton; D K Nicks; M J Newchurch; J L Carr; S J Janz; M R Andraschko; A Arola; B D Baker; B P Canova; C Chan Miller; R C Cohen; J E Davis; M E Dussault; D P Edwards; J Fishman; A Ghulam; G González Abad; M Grutter; J R Herman; J Houck; D J Jacob; J Joiner; B J Kerridge; J Kim; N A Krotkov; L Lamsal; C Li; A Lindfors; R V Martin; C T McElroy; C McLinden; V Natraj; D O Neil; C R Nowlan; E J O'Sullivan; P I Palmer; R B Pierce; M R Pippin; A Saiz-Lopez; R J D Spurr; J J Szykman; O Torres; J P Veefkind; B Veihelmann; H Wang; J Wang; K Chance
Journal:  J Quant Spectrosc Radiat Transf       Date:  2016-06-06       Impact factor: 2.468

  1 in total

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