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ICESat-2 Atmospheric Channel Description, Data Processing and First ResultsThe Advanced Topographic Laser Altimeter System (ATLAS) was launched aboard the Ice Cloud and land-Elevation Satellite-2 (ICESat-2) satellite in September 2018. ATLAS is a single wavelength (532 nm) lidar system designed to acquire high resolution measurements of the earth's surface while also obtaining atmospheric backscatter from molecules, clouds, and aerosols. Because ATLAS is optimized for altimetry, the atmospheric data acquired is unique in many respects and requires non-standard analysis techniques. For example, the high repetition rate laser limits the vertical extent of the profiles to just 14 km and causes atmospheric scattering from above 15 km to be added to the scattering in the lower 0–14 km profile. In addition, the limited vertical range of the acquired profiles renders it difficult to compute the magnitude of the solar background and hinders the application of standard calibration techniques. Despite these limitations, methods have been developed to successfully produce data products that have value to the atmospheric community for cloud and aerosol research and are currently available at the National Snow and Ice Data Center (NSIDC). In this paper we describe the ICESat-2 atmospheric channel and the methods used to process the ATLAS raw photon count data to obtain calibrated backscatter and higher level products such as layer heights and type, blowing snow, column optical depth and apparent surface reflectance.
Document ID
20210020925
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Stephen P Palm ORCID
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Yuekui Yang ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Ute Herzfeld ORCID
(University of Colorado Boulder Boulder, Colorado, United States)
David Hancock ORCID
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Adam Hayes
(University of Colorado Boulder Boulder, Colorado, United States)
Patrick Selmer
(Science Systems and Applications (United States) Lanham, Maryland, United States)
William Hart
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Dennis Hlavka ORCID
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
August 25, 2021
Publication Date
July 22, 2021
Publication Information
Publication: Earth and Space Science
Publisher: AGU/Wiley
Volume: 8
Issue: 8
Issue Publication Date: August 1, 2021
e-ISSN: 2333-5084
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNG17HP01C
WBS: 437949.02.08.01.31
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
External Peer Committee
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