Near-sea-level langley calibration algorithm

As compared to other methods, measurement of aerosol optical depth (AOD) using sunphotometers offer several advantages. However, it suffers a drawback as calibration of the instrument required to be performed at high altitude due to temporal drifts in the atmospheric condition during the calibration...

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Main Authors: Jedol Dayou, Chang, Jackson Hian Wui, Justin Sentian
Format: Book Chapter
Language:English
Published: Springer Verlag 2014
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/20123/1/Near.pdf
https://eprints.ums.edu.my/id/eprint/20123/
https://doi.org/10.1007/978-981-287-101-5_3
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spelling my.ums.eprints.201232018-05-25T02:23:37Z https://eprints.ums.edu.my/id/eprint/20123/ Near-sea-level langley calibration algorithm Jedol Dayou Chang, Jackson Hian Wui Justin Sentian QC Physics As compared to other methods, measurement of aerosol optical depth (AOD) using sunphotometers offer several advantages. However, it suffers a drawback as calibration of the instrument required to be performed at high altitude due to temporal drifts in the atmospheric condition during the calibration. To solve this, a new Langley calibration algorithm has been designed for AOD measurement using spectroradiometer instrument. The key advantages of the proposed algorithm are its objectivity, computational efficiency and the ability to detect short intervals of cloud transits. It avoids travelling to high altitude mountain that the conventional calibration procedure always practiced for frequent calibration. Most importantly, neither it requires priori knowledge of the instrument calibration nor a collocated calibrated instrument for nominal calibration transfer to perform the cloud-screening procedure. Springer Verlag 2014 Book Chapter NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/20123/1/Near.pdf Jedol Dayou and Chang, Jackson Hian Wui and Justin Sentian (2014) Near-sea-level langley calibration algorithm. SpringerBriefs in Applied Sciences and Technology. pp. 31-37. ISSN 2191-530X https://doi.org/10.1007/978-981-287-101-5_3
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic QC Physics
spellingShingle QC Physics
Jedol Dayou
Chang, Jackson Hian Wui
Justin Sentian
Near-sea-level langley calibration algorithm
description As compared to other methods, measurement of aerosol optical depth (AOD) using sunphotometers offer several advantages. However, it suffers a drawback as calibration of the instrument required to be performed at high altitude due to temporal drifts in the atmospheric condition during the calibration. To solve this, a new Langley calibration algorithm has been designed for AOD measurement using spectroradiometer instrument. The key advantages of the proposed algorithm are its objectivity, computational efficiency and the ability to detect short intervals of cloud transits. It avoids travelling to high altitude mountain that the conventional calibration procedure always practiced for frequent calibration. Most importantly, neither it requires priori knowledge of the instrument calibration nor a collocated calibrated instrument for nominal calibration transfer to perform the cloud-screening procedure.
format Book Chapter
author Jedol Dayou
Chang, Jackson Hian Wui
Justin Sentian
author_facet Jedol Dayou
Chang, Jackson Hian Wui
Justin Sentian
author_sort Jedol Dayou
title Near-sea-level langley calibration algorithm
title_short Near-sea-level langley calibration algorithm
title_full Near-sea-level langley calibration algorithm
title_fullStr Near-sea-level langley calibration algorithm
title_full_unstemmed Near-sea-level langley calibration algorithm
title_sort near-sea-level langley calibration algorithm
publisher Springer Verlag
publishDate 2014
url https://eprints.ums.edu.my/id/eprint/20123/1/Near.pdf
https://eprints.ums.edu.my/id/eprint/20123/
https://doi.org/10.1007/978-981-287-101-5_3
_version_ 1760229673207332864
score 13.154949