Literature DB >> 32661445

Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: first results from EPIC/DSCOVR at Lagrange-1 point.

Xiaoguang Xu1, Jun Wang1, Yi Wang1, Jing Zeng1, Omar Torres2, Yuekui Yang3, Alexander Marshak3, Jeffrey Reid4, Steve Miller5.   

Abstract

We presented an algorithm for inferring aerosol layer height (ALH) and optical depth (AOD) over ocean surface from radiances in oxygen A and B bands measured by the Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate Observatory orbiting at Lagrangian-1 point. The algorithm was applied to EPIC imagery of a two-day dust outbreak over the North Atlantic Ocean. Retrieved ALHs and AODs were evaluated against counterparts observed by Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), Moderate Resolution Imaging Spectroradiometer (MODIS), and Aerosol Robotic Network. The comparisons showed 71.5% of EPIC-retrieved ALHs were within ±0.5 km of those determined from CALIOP and 74.4% of EPIC AOD retrievals fell within a ±(0.1+10%) envelope of MODIS retrievals. This study demonstrates the potential of EPIC measurements for retrieving global aerosol height multiple times daily, which are essential for evaluating aerosol profile simulated in climate models and for better estimating aerosol radiative effects.

Entities:  

Year:  2017        PMID: 32661445      PMCID: PMC7357207          DOI: 10.1002/2017gl073939

Source DB:  PubMed          Journal:  Geophys Res Lett        ISSN: 0094-8276            Impact factor:   4.720


  1 in total

1.  The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetation.

Authors:  Alexander Marshak; Yuri Knyazikhin
Journal:  J Quant Spectrosc Radiat Transf       Date:  2017-01-12       Impact factor: 2.468

  1 in total
  1 in total

1.  Calibration of the DSCOVR EPIC visible and NIR channels using MODIS Terra and Aqua data and EPIC lunar observations.

Authors:  Igor V Geogdzhayev; Alexander Marshak
Journal:  Atmos Meas Tech       Date:  2018-01-17       Impact factor: 4.176

  1 in total

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