Fast computation of absorption spectra for lidar data processing using principal component analysis

We describe a principal component-based technique for approximating absorption and scattering spectra commonly needed for lidar signal processing. Where previously these calculations had been bottlenecks in our lidar signal processing, the described approach has increased our spectrum calculation speed by over two orders of magnitude. The described approach also allows analytically calculated temperature and pressure derivatives, which is useful for propagating uncertainty and implementation of global optimization algorithms. (C) 2019 Optical Society of America

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Copyright 2019 Optical Society of America. This paper was published in Optics Letters and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: https://www.osapublishing.org/ol/abstract.cfm?uri=ol-44-8-1900. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
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Author Hayman, Matthew
Stillwell, Robert A.
Spuler, Scott M.
Publisher UCAR/NCAR - Library
Publication Date 2019-04-15T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:18:09.946510
Metadata Record Identifier edu.ucar.opensky::articles:22471
Metadata Language eng; USA
Suggested Citation Hayman, Matthew, Stillwell, Robert A., Spuler, Scott M.. (2019). Fast computation of absorption spectra for lidar data processing using principal component analysis. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7br8w7r. Accessed 21 July 2025.

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