A method of cloud field detection over Antarctica during the polar night using AVHRR data

P(論文) An improved algorithm for cloud field detection over the Antarctic region is presented. The algorithm is a combination of a conventional split window method and a spatial coherence method. The conventional split window method utilizes the brightness temperature and the brightness temperature d...

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Main Authors: クジ, マコト, キクチ, ノブユキ, ヒラサワ, ナオヒコ, ヤマノウチ, タカシ, Kuji, Makoto, Kikuchi, Nobuyuki, Hirasawa, Naohiko, Yamanouchi, Takashi
Language:English
Published: National Institute of Polar Research 2001
Subjects:
Online Access:https://nipr.repo.nii.ac.jp/record/2935/files/KJ00002364422.pdf
https://doi.org/10.15094/00002935
https://nipr.repo.nii.ac.jp/records/2935
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author クジ, マコト
キクチ, ノブユキ
ヒラサワ, ナオヒコ
ヤマノウチ, タカシ
Kuji, Makoto
Kikuchi, Nobuyuki
Hirasawa, Naohiko
Yamanouchi, Takashi
author_facet クジ, マコト
キクチ, ノブユキ
ヒラサワ, ナオヒコ
ヤマノウチ, タカシ
Kuji, Makoto
Kikuchi, Nobuyuki
Hirasawa, Naohiko
Yamanouchi, Takashi
author_sort クジ, マコト
collection National Institute of Polar Research Repository, Japan
description P(論文) An improved algorithm for cloud field detection over the Antarctic region is presented. The algorithm is a combination of a conventional split window method and a spatial coherence method. The conventional split window method utilizes the brightness temperature and the brightness temperature difference between split window channels. The spatial coherence method makes use of the standard deviation of the brightness temperature difference between split window channels as an index of cloud field homogeneity. The algorithm, in principle, enables us to detect an inhomogeneous cloud field which has not been well detected with only the conventional split window method. This algorithm was applied to Advanced Very High Resolution Radiometer (AVHRR) data during the polar night over the Antarctic region. It is found that the improved algorithm seems to work well for an inhomogeneous cloud field as expected, although there still remains uncertainty related to the vertical structure of the cloud field. In order to investigate the vertical structure in detail, further analyses are needed such as comparison of the result to ground-based meteorological observation, radiative transfer simulation, and analysis of TIROS-N Operational Vertical Sounder (TOVS) data. departmental bulletin paper
genre Antarc*
Antarctic
Antarctica
Polar meteorology and glaciology
polar night
genre_facet Antarc*
Antarctic
Antarctica
Polar meteorology and glaciology
polar night
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
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institution Open Polar
language English
op_collection_id ftnipr
op_doi https://doi.org/10.15094/00002935
op_relation Polar meteorology and glaciology
15
114
123
AA1129795X
https://nipr.repo.nii.ac.jp/record/2935/files/KJ00002364422.pdf
https://doi.org/10.15094/00002935
https://nipr.repo.nii.ac.jp/records/2935
publishDate 2001
publisher National Institute of Polar Research
record_format openpolar
spelling ftnipr:oai:nipr.repo.nii.ac.jp:00002935 2025-04-13T14:10:10+00:00 A method of cloud field detection over Antarctica during the polar night using AVHRR data クジ, マコト キクチ, ノブユキ ヒラサワ, ナオヒコ ヤマノウチ, タカシ Kuji, Makoto Kikuchi, Nobuyuki Hirasawa, Naohiko Yamanouchi, Takashi 2001-11 application/pdf https://nipr.repo.nii.ac.jp/record/2935/files/KJ00002364422.pdf https://doi.org/10.15094/00002935 https://nipr.repo.nii.ac.jp/records/2935 eng eng National Institute of Polar Research Polar meteorology and glaciology 15 114 123 AA1129795X https://nipr.repo.nii.ac.jp/record/2935/files/KJ00002364422.pdf https://doi.org/10.15094/00002935 https://nipr.repo.nii.ac.jp/records/2935 2001 ftnipr https://doi.org/10.15094/00002935 2025-03-19T10:19:56Z P(論文) An improved algorithm for cloud field detection over the Antarctic region is presented. The algorithm is a combination of a conventional split window method and a spatial coherence method. The conventional split window method utilizes the brightness temperature and the brightness temperature difference between split window channels. The spatial coherence method makes use of the standard deviation of the brightness temperature difference between split window channels as an index of cloud field homogeneity. The algorithm, in principle, enables us to detect an inhomogeneous cloud field which has not been well detected with only the conventional split window method. This algorithm was applied to Advanced Very High Resolution Radiometer (AVHRR) data during the polar night over the Antarctic region. It is found that the improved algorithm seems to work well for an inhomogeneous cloud field as expected, although there still remains uncertainty related to the vertical structure of the cloud field. In order to investigate the vertical structure in detail, further analyses are needed such as comparison of the result to ground-based meteorological observation, radiative transfer simulation, and analysis of TIROS-N Operational Vertical Sounder (TOVS) data. departmental bulletin paper Other/Unknown Material Antarc* Antarctic Antarctica Polar meteorology and glaciology polar night National Institute of Polar Research Repository, Japan Antarctic The Antarctic
spellingShingle クジ, マコト
キクチ, ノブユキ
ヒラサワ, ナオヒコ
ヤマノウチ, タカシ
Kuji, Makoto
Kikuchi, Nobuyuki
Hirasawa, Naohiko
Yamanouchi, Takashi
A method of cloud field detection over Antarctica during the polar night using AVHRR data
title A method of cloud field detection over Antarctica during the polar night using AVHRR data
title_full A method of cloud field detection over Antarctica during the polar night using AVHRR data
title_fullStr A method of cloud field detection over Antarctica during the polar night using AVHRR data
title_full_unstemmed A method of cloud field detection over Antarctica during the polar night using AVHRR data
title_short A method of cloud field detection over Antarctica during the polar night using AVHRR data
title_sort method of cloud field detection over antarctica during the polar night using avhrr data
url https://nipr.repo.nii.ac.jp/record/2935/files/KJ00002364422.pdf
https://doi.org/10.15094/00002935
https://nipr.repo.nii.ac.jp/records/2935