NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Polarimeter + Lidar–Derived Aerosol Particle Number ConcentrationIn this study, we propose a simple method to derive vertically resolved aerosol particle number concentration (Na) using combined polarimetric and lidar remote sensing observations. This method relies on accurate polarimeter retrievals of the fine-mode column-averaged aerosol particle extinction cross section and accurate lidar measurements of vertically resolved aerosol particle extinction coefficient such as those provided by multiwavelength high spectral resolution lidar. We compare the resulting lidar + polarimeter vertically resolved N(a) product to in situ N(a) data collected by airborne instruments during the NASA aerosol cloud meteorology interactions over the western Atlantic experiment (ACTIVATE). Based on all 35 joint ACTIVATE flights in 2020, we find a total of 32 collocated in situ and remote sensing profiles that occur on 11separate days, which contain a total of 322 cloud-free vertically resolved altitude bins of 150 m resolution. We demonstrate that the lidar + polarimeter N(a) agrees to within 106% for 90% of the 322 vertically resolved points. We also demonstrate similar agreement to within 121% for the polarimeter-derived column-averaged N(a). We find that the range-normalized mean absolute deviation (NMAD) for the polarimeter-derived column-averaged Na is 21%, and the NMAD for the lidar + polarimeter-derived vertically resolved Na is 16%. Taken together, these findings suggest that the error in the polarimeter-only column-averaged N(a) and the lidar + polarimeter vertically resolved N(a) are of similar magnitude and represent a significant improvement upon current remote sensing estimates of N(a).
Document ID
20230004371
Acquisition Source
2230 Support
Document Type
Accepted Manuscript (Version with final changes)
Authors
Joseph S. Schlosser
(University of Arizona Tucson, Arizona, United States)
Snorre Stamnes
(Langley Research Center Hampton, Virginia, United States)
Sharon P. Burton
(Langley Research Center Hampton, Virginia, United States)
Brian Cairns
(Goddard Institute for Space Studies New York, New York, United States)
Ewan Crosbie
(Science Systems & Applications, Inc. Hampton, VA, USA)
Bastiaan Van Diedenhoven
(Netherlands Institute for Space Research Utrecht, Netherlands)
Glenn Diskin
(Langley Research Center Hampton, Virginia, United States)
Sanja Dmitrovic
(University of Arizona Tucson, Arizona, United States)
Richard Ferrare
(Langley Research Center Hampton, Virginia, United States)
Johnathan W. Hair
(Langley Research Center Hampton, Virginia, United States)
Chris A. Hostetler
(Langley Research Center Hampton, Virginia, United States)
Yongxiang Hu
(Langley Research Center Hampton, Virginia, United States)
Xu Liu
(Langley Research Center Hampton, Virginia, United States)
Richard H. Moore
(Langley Research Center Hampton, Virginia, United States)
Taylor Shingler
(Langley Research Center Hampton, Virginia, United States)
Michael A. Shook
(Langley Research Center Hampton, Virginia, United States)
Kenneth Lee Thornhill
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Edward Winstead
(Langley Research Center Hampton, Virginia, United States)
Luke Ziemba
(Langley Research Center Hampton, Virginia, United States)
Armin Sorooshian
(University of Arizona Tucson, Arizona, United States)
Date Acquired
April 4, 2023
Publication Date
May 13, 2022
Publication Information
Publication: Frontiers in Remote Sensing
Publisher: Frontiers Media
Volume: 3
Issue Publication Date: May 13, 2022
e-ISSN: 2673-6187
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC19K0442
CONTRACT_GRANT: N00014-21-1-2115
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Keywords
RSP
HSRL-2
column-averaged Na
vertically resolved Na
AOD
ACTIVATE
EVS-3
aerosol
Document Inquiry

Available Downloads

There are no available downloads for this record.
No Preview Available