Constraining Aerosol Vertical Profile in the Boundary Layer Using Hyperspectral Measurements of Oxygen Absorption
Abstract
This study attempts to infer aerosol vertical structure in the urban boundary layer using passive hyperspectral measurements. A spectral sorting technique is developed to retrieve total aerosol optical depth (AOD) and effective aerosol layer height (ALH) from hyperspectral measurements in the 1.27‐μm oxygen absorption band by the mountaintop Fourier Transform Spectrometer at the California Laboratory for Atmospheric Remote Sensing instrument (1,673 m above sea level) overlooking the LA basin. Comparison to AOD measurements from Aerosol Robotic Network and aerosol backscatter profile measurements from a Mini MicroPulse Lidar shows agreement, with coefficients of determination (r^2) of 0.74 for AOD and 0.57 for effective ALH. On average, the AOD retrieval has an error of 24.9% and root‐mean‐square error of 0.013, while the effective ALH retrieval has an error of 7.8% and root‐mean‐square error of 67.01 m. The proposed method can potentially be applied to existing and future satellite missions with hyperspectral oxygen measurements to constrain aerosol vertical distribution on a global scale.
Additional Information
© 2018 American Geophysical Union. Received 20 JUN 2018; Accepted 23 SEP 2018; Accepted article online 27 SEP 2018; Published online 12 OCT 2018. We thank Jack Margolis, Chao Liu, Yuan Wang, Siteng Fan, Suniti Sanghavi, Mike Gunson, and Annmarie Eldering for stimulating discussions. V. N. acknowledges support from the NASA Earth Science US Participating Investigator program (solicitation NNH16ZDA001N‐ESUSPI). F. X. acknowledges support from NASA Remote Sensing Theory program under grant 14‐RST14‐0100. We are also thankful for the support from the Jet Propulsion Laboratory Research and Technology Development Program. Part of the research in this study was performed at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The CLARS project receives support from the California Air Resources Board and the NIST GHG and Climate Science Program. The MiniMPL was supported by the KISS Program at Caltech; data are available from the NASA Megacity project data portal: https://megacities.jpl.nasa.gov/portal/. AERONET data for the Caltech site are available from https://aeronet.gsfc.nasa.gov/new_web/photo_db_v3/CalTech.html. We also thank Jochen Stutz from UCLA and his staff for their effort in establishing and maintaining the AERONET Caltech site. CLARS‐FTS data are available from the authors upon request, and part of the data are available from the NASA Megacities Project at https://megacities.jpl.nasa.gov. We are grateful to the two anonymous reviewers whose comments helped improve the paper.Attached Files
Published - Zeng_et_al-2018-Geophysical_Research_Letters.pdf
Supplemental Material - grl58079-sup-0001-2018gl079286_s01.pdf
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Additional details
- Eprint ID
- 90156
- Resolver ID
- CaltechAUTHORS:20181008-135406047
- NASA
- NNH16ZDA001N-ESUSPI
- NASA
- 14-RST14-0100
- NASA/JPL/Caltech
- California Air Resources Board
- National Institute of Standards and Technology (NIST)
- Keck Institute for Space Studies (KISS)
- Created
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2018-10-08Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Keck Institute for Space Studies, Astronomy Department, Division of Geological and Planetary Sciences (GPS)