Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals

Aerosol optical thickness (tau(aer))) is a fundamental parameter for analyzing aerosol loading and associated radiative effects. Tau(aer) can constrain many inversion algorithms using passive/active sensor measurements to retrieve other aerosol properties and/or the abundance of trace gases. In the...

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Main Authors: Loftus, Adrian M., Pantina, Peter, Holben, Brent N., Swap, Robert J., Abuhassan, Nader, Butler, James J., Dimov, Alexander, Tsay, Si-Chee, Herman, Jay R., Jeong, Ukkyo
Format: Other/Unknown Material
Language:unknown
Published: 2018
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Online Access:http://hdl.handle.net/2060/20180003147
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20180003147 2023-05-15T13:06:36+02:00 Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals Loftus, Adrian M. Pantina, Peter Holben, Brent N. Swap, Robert J. Abuhassan, Nader Butler, James J. Dimov, Alexander Tsay, Si-Chee Herman, Jay R. Jeong, Ukkyo Unclassified, Unlimited, Publicly available April 6, 2018 application/pdf http://hdl.handle.net/2060/20180003147 unknown Document ID: 20180003147 http://hdl.handle.net/2060/20180003147 Copyright, Public use permitted CASI Earth Resources and Remote Sensing GSFC-E-DAA-TN56901 Journal of Geophysical Research: Atmospheres (ISSN 2169-897X) (e-ISSN 2169-8996); 123; 8; 4221-4238 2018 ftnasantrs 2019-07-20T23:16:47Z Aerosol optical thickness (tau(aer))) is a fundamental parameter for analyzing aerosol loading and associated radiative effects. Tau(aer) can constrain many inversion algorithms using passive/active sensor measurements to retrieve other aerosol properties and/or the abundance of trace gases. In the next wave of spectroradiometric observations from geostationary platforms, we envision that a strategically distributed network of robust, well-calibrated ground-based spectroradiometers will comprehensively complement spaceborne measurements in spectral and temporal domains. Spectral tau(aer) can be accurately obtained from direct-Sun measurements based on the Langley calibration method, which allows for the analysis of distinct spectral features of the calibration results. In this study, we present a spectral tau(aer) retrieval algorithm for an in-house developed, field deployable spectroradiometer instrument covering wavelengths from ultraviolet to near infrared (UV-Vis-NIR). The spectral total optical thickness obtained from the Langley calibration method is partitioned into molecular and particulate components by utilizing a least-squares method. The resulting high temporal-resolution tau(aer) and Angstrom Exponent can be used effectively for cloud screening. The new algorithm was applied to months-long measurements acquired from the rooftop at NASA Goddard Space Flight Center's Building 33. The retrieved tau(aer) demonstrated excellent agreement with those from well-calibrated Aerosol Robotic Network (AERONET) sunphotometers at all overlapping wavelengths (correlation coefficients higher than 0.98). In addition, empirical stray light corrections considerably improved tau(aer) retrievals at short wavelengths in the UV. The continuous spectrum of tau(aer) from UV-Vis-NIR spectroradiometers is expected to provide more informative constraints for retrieval of additional aerosol properties such as refractive indices, size, and bulk vertical distribution. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Earth Resources and Remote Sensing
spellingShingle Earth Resources and Remote Sensing
Loftus, Adrian M.
Pantina, Peter
Holben, Brent N.
Swap, Robert J.
Abuhassan, Nader
Butler, James J.
Dimov, Alexander
Tsay, Si-Chee
Herman, Jay R.
Jeong, Ukkyo
Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals
topic_facet Earth Resources and Remote Sensing
description Aerosol optical thickness (tau(aer))) is a fundamental parameter for analyzing aerosol loading and associated radiative effects. Tau(aer) can constrain many inversion algorithms using passive/active sensor measurements to retrieve other aerosol properties and/or the abundance of trace gases. In the next wave of spectroradiometric observations from geostationary platforms, we envision that a strategically distributed network of robust, well-calibrated ground-based spectroradiometers will comprehensively complement spaceborne measurements in spectral and temporal domains. Spectral tau(aer) can be accurately obtained from direct-Sun measurements based on the Langley calibration method, which allows for the analysis of distinct spectral features of the calibration results. In this study, we present a spectral tau(aer) retrieval algorithm for an in-house developed, field deployable spectroradiometer instrument covering wavelengths from ultraviolet to near infrared (UV-Vis-NIR). The spectral total optical thickness obtained from the Langley calibration method is partitioned into molecular and particulate components by utilizing a least-squares method. The resulting high temporal-resolution tau(aer) and Angstrom Exponent can be used effectively for cloud screening. The new algorithm was applied to months-long measurements acquired from the rooftop at NASA Goddard Space Flight Center's Building 33. The retrieved tau(aer) demonstrated excellent agreement with those from well-calibrated Aerosol Robotic Network (AERONET) sunphotometers at all overlapping wavelengths (correlation coefficients higher than 0.98). In addition, empirical stray light corrections considerably improved tau(aer) retrievals at short wavelengths in the UV. The continuous spectrum of tau(aer) from UV-Vis-NIR spectroradiometers is expected to provide more informative constraints for retrieval of additional aerosol properties such as refractive indices, size, and bulk vertical distribution.
format Other/Unknown Material
author Loftus, Adrian M.
Pantina, Peter
Holben, Brent N.
Swap, Robert J.
Abuhassan, Nader
Butler, James J.
Dimov, Alexander
Tsay, Si-Chee
Herman, Jay R.
Jeong, Ukkyo
author_facet Loftus, Adrian M.
Pantina, Peter
Holben, Brent N.
Swap, Robert J.
Abuhassan, Nader
Butler, James J.
Dimov, Alexander
Tsay, Si-Chee
Herman, Jay R.
Jeong, Ukkyo
author_sort Loftus, Adrian M.
title Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals
title_short Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals
title_full Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals
title_fullStr Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals
title_full_unstemmed Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals
title_sort langley calibration analysis of solar spectroradiometric measurements: spectral aerosol optical thickness retrievals
publishDate 2018
url http://hdl.handle.net/2060/20180003147
op_coverage Unclassified, Unlimited, Publicly available
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source CASI
op_relation Document ID: 20180003147
http://hdl.handle.net/2060/20180003147
op_rights Copyright, Public use permitted
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