Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans

The minimum brightness temperature (mBT) of seawater in the polar region is an important parameter in algorithms for determining sea ice concentration or snow depth. To estimate the mBT of seawater at 6.925 GHz for the Arctic and Antarctic Oceans and to find their physical characteristics, we collec...

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Published in:Remote Sensing
Main Authors: Young-Joo Kwon, Sungwook Hong, Jeong-Won Park, Seung Hee Kim, Jong-Min Kim, Hyun-Cheol Kim
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13112122
https://doaj.org/article/ace5470fb3594b549113ec6492867704
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spelling ftdoajarticles:oai:doaj.org/article:ace5470fb3594b549113ec6492867704 2023-05-15T13:38:23+02:00 Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans Young-Joo Kwon Sungwook Hong Jeong-Won Park Seung Hee Kim Jong-Min Kim Hyun-Cheol Kim 2021-05-01T00:00:00Z https://doi.org/10.3390/rs13112122 https://doaj.org/article/ace5470fb3594b549113ec6492867704 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/11/2122 https://doaj.org/toc/2072-4292 doi:10.3390/rs13112122 2072-4292 https://doaj.org/article/ace5470fb3594b549113ec6492867704 Remote Sensing, Vol 13, Iss 2122, p 2122 (2021) passive microwave ocean AMSR2 tie point Arctic amplification Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13112122 2022-12-31T03:55:11Z The minimum brightness temperature (mBT) of seawater in the polar region is an important parameter in algorithms for determining sea ice concentration or snow depth. To estimate the mBT of seawater at 6.925 GHz for the Arctic and Antarctic Oceans and to find their physical characteristics, we collected brightness temperature and sea ice concentration data from the Advanced Microwave Scanning Radiometer 2 (AMSR2) for eight years from 2012 to 2020. The estimated mBT shows constant annual values, but we found a significant difference in the seasonal variability between the Arctic and Antarctic Oceans. We calculated the mBT with the radiative transfer model parameterized by sea surface temperature (SST), sea surface wind speed (SSW), and integrated water vapor (IWV) and compared them with our observations. The estimated mBT represents the modeled mBT emitted from seawater under conditions of 2–5 m/s SSW and SST below 0 °C, except in the Arctic summer. The exceptional summer mBT in the Arctic Ocean was related to unusually high SST. We found evidence of Arctic amplification in the seasonal variability of Arctic mBT. Article in Journal/Newspaper Antarc* Antarctic Arctic Arctic Ocean Sea ice Directory of Open Access Journals: DOAJ Articles Antarctic Arctic Arctic Ocean Remote Sensing 13 11 2122
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic passive microwave
ocean
AMSR2
tie point
Arctic amplification
Science
Q
spellingShingle passive microwave
ocean
AMSR2
tie point
Arctic amplification
Science
Q
Young-Joo Kwon
Sungwook Hong
Jeong-Won Park
Seung Hee Kim
Jong-Min Kim
Hyun-Cheol Kim
Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans
topic_facet passive microwave
ocean
AMSR2
tie point
Arctic amplification
Science
Q
description The minimum brightness temperature (mBT) of seawater in the polar region is an important parameter in algorithms for determining sea ice concentration or snow depth. To estimate the mBT of seawater at 6.925 GHz for the Arctic and Antarctic Oceans and to find their physical characteristics, we collected brightness temperature and sea ice concentration data from the Advanced Microwave Scanning Radiometer 2 (AMSR2) for eight years from 2012 to 2020. The estimated mBT shows constant annual values, but we found a significant difference in the seasonal variability between the Arctic and Antarctic Oceans. We calculated the mBT with the radiative transfer model parameterized by sea surface temperature (SST), sea surface wind speed (SSW), and integrated water vapor (IWV) and compared them with our observations. The estimated mBT represents the modeled mBT emitted from seawater under conditions of 2–5 m/s SSW and SST below 0 °C, except in the Arctic summer. The exceptional summer mBT in the Arctic Ocean was related to unusually high SST. We found evidence of Arctic amplification in the seasonal variability of Arctic mBT.
format Article in Journal/Newspaper
author Young-Joo Kwon
Sungwook Hong
Jeong-Won Park
Seung Hee Kim
Jong-Min Kim
Hyun-Cheol Kim
author_facet Young-Joo Kwon
Sungwook Hong
Jeong-Won Park
Seung Hee Kim
Jong-Min Kim
Hyun-Cheol Kim
author_sort Young-Joo Kwon
title Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans
title_short Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans
title_full Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans
title_fullStr Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans
title_full_unstemmed Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans
title_sort spatial and temporal variability of minimum brightness temperature at the 6.925 ghz band of amsr2 for the arctic and antarctic oceans
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13112122
https://doaj.org/article/ace5470fb3594b549113ec6492867704
geographic Antarctic
Arctic
Arctic Ocean
geographic_facet Antarctic
Arctic
Arctic Ocean
genre Antarc*
Antarctic
Arctic
Arctic Ocean
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Arctic Ocean
Sea ice
op_source Remote Sensing, Vol 13, Iss 2122, p 2122 (2021)
op_relation https://www.mdpi.com/2072-4292/13/11/2122
https://doaj.org/toc/2072-4292
doi:10.3390/rs13112122
2072-4292
https://doaj.org/article/ace5470fb3594b549113ec6492867704
op_doi https://doi.org/10.3390/rs13112122
container_title Remote Sensing
container_volume 13
container_issue 11
container_start_page 2122
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