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

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 differe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Polar meteorology and glaciology 2001-11 (15), p.114-123
Hauptverfasser: Kuji, Makoto, Kikuchi, Nobuyuki, Hirasawa, Naohiko, Yamanouchi, Takashi
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 123
container_issue 15
container_start_page 114
container_title Polar meteorology and glaciology
container_volume
creator Kuji, Makoto
Kikuchi, Nobuyuki
Hirasawa, Naohiko
Yamanouchi, Takashi
description 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.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_18388700</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>18388700</sourcerecordid><originalsourceid>FETCH-LOGICAL-n600-cde40b221d028e5a88ea3e7ab4f885f4e327b8ee5af565b14e893d5851850c953</originalsourceid><addsrcrecordid>eNotjMFKAzEURbNQsFb_4a3cDWQmSefNcihqhYJQSsFVySQvnZE0qUnG77eiq8s5B-4NW9RCykpI0d6x-5w_OZddJ_iCffRwpjJGC9GB8XG24CbyFiwVMmWKAeI3JehD0enKRoOd0xROUEaCS_Q6QZhOY4E5_9r-sNntwOqiH9it0z7T4_8u2f7leb_eVNv317d1v63CivPKWJJ8aJra8gZJaUTSglo9SIeonCTRtAPStTi1UkMtCTthFaoaFTedEkv29Hd7SfFrplyO5ykb8l4HinM-1igQW87FD5SgTdY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>18388700</pqid></control><display><type>article</type><title>A method of cloud field detection over Antarctica during the polar night using AVHRR data</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Freely Accessible Japanese Titles</source><creator>Kuji, Makoto ; Kikuchi, Nobuyuki ; Hirasawa, Naohiko ; Yamanouchi, Takashi</creator><creatorcontrib>Kuji, Makoto ; Kikuchi, Nobuyuki ; Hirasawa, Naohiko ; Yamanouchi, Takashi</creatorcontrib><description>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.</description><identifier>ISSN: 1344-3437</identifier><language>eng</language><ispartof>Polar meteorology and glaciology, 2001-11 (15), p.114-123</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Kuji, Makoto</creatorcontrib><creatorcontrib>Kikuchi, Nobuyuki</creatorcontrib><creatorcontrib>Hirasawa, Naohiko</creatorcontrib><creatorcontrib>Yamanouchi, Takashi</creatorcontrib><title>A method of cloud field detection over Antarctica during the polar night using AVHRR data</title><title>Polar meteorology and glaciology</title><description>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.</description><issn>1344-3437</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNotjMFKAzEURbNQsFb_4a3cDWQmSefNcihqhYJQSsFVySQvnZE0qUnG77eiq8s5B-4NW9RCykpI0d6x-5w_OZddJ_iCffRwpjJGC9GB8XG24CbyFiwVMmWKAeI3JehD0enKRoOd0xROUEaCS_Q6QZhOY4E5_9r-sNntwOqiH9it0z7T4_8u2f7leb_eVNv317d1v63CivPKWJJ8aJra8gZJaUTSglo9SIeonCTRtAPStTi1UkMtCTthFaoaFTedEkv29Hd7SfFrplyO5ykb8l4HinM-1igQW87FD5SgTdY</recordid><startdate>20011101</startdate><enddate>20011101</enddate><creator>Kuji, Makoto</creator><creator>Kikuchi, Nobuyuki</creator><creator>Hirasawa, Naohiko</creator><creator>Yamanouchi, Takashi</creator><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>20011101</creationdate><title>A method of cloud field detection over Antarctica during the polar night using AVHRR data</title><author>Kuji, Makoto ; Kikuchi, Nobuyuki ; Hirasawa, Naohiko ; Yamanouchi, Takashi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-n600-cde40b221d028e5a88ea3e7ab4f885f4e327b8ee5af565b14e893d5851850c953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuji, Makoto</creatorcontrib><creatorcontrib>Kikuchi, Nobuyuki</creatorcontrib><creatorcontrib>Hirasawa, Naohiko</creatorcontrib><creatorcontrib>Yamanouchi, Takashi</creatorcontrib><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><jtitle>Polar meteorology and glaciology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuji, Makoto</au><au>Kikuchi, Nobuyuki</au><au>Hirasawa, Naohiko</au><au>Yamanouchi, Takashi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A method of cloud field detection over Antarctica during the polar night using AVHRR data</atitle><jtitle>Polar meteorology and glaciology</jtitle><date>2001-11-01</date><risdate>2001</risdate><issue>15</issue><spage>114</spage><epage>123</epage><pages>114-123</pages><issn>1344-3437</issn><abstract>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.</abstract><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1344-3437
ispartof Polar meteorology and glaciology, 2001-11 (15), p.114-123
issn 1344-3437
language eng
recordid cdi_proquest_miscellaneous_18388700
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Freely Accessible Japanese Titles
title A method of cloud field detection over Antarctica during the polar night using AVHRR data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T21%3A31%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20method%20of%20cloud%20field%20detection%20over%20Antarctica%20during%20the%20polar%20night%20using%20AVHRR%20data&rft.jtitle=Polar%20meteorology%20and%20glaciology&rft.au=Kuji,%20Makoto&rft.date=2001-11-01&rft.issue=15&rft.spage=114&rft.epage=123&rft.pages=114-123&rft.issn=1344-3437&rft_id=info:doi/&rft_dat=%3Cproquest%3E18388700%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=18388700&rft_id=info:pmid/&rfr_iscdi=true