Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data

Antarctic coastal polynyas are very high sea-ice production areas. The resultant large amount of brine rejection leads to the formation of dense water. The dense water forms Antarctic bottom water, which is the densest water in the global overturning circulation and a key player in climate change as...

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Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Nihashi, S, Ohshima, KI, Tamura, T
Format: Article in Journal/Newspaper
Language:English
Published: Institute of Electrical and Electronics Engineers 2017
Subjects:
Online Access:https://doi.org/10.1109/JSTARS.2017.2731995
http://ecite.utas.edu.au/123599
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spelling ftunivtasecite:oai:ecite.utas.edu.au:123599 2023-05-15T13:49:03+02:00 Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data Nihashi, S Ohshima, KI Tamura, T 2017 https://doi.org/10.1109/JSTARS.2017.2731995 http://ecite.utas.edu.au/123599 en eng Institute of Electrical and Electronics Engineers http://dx.doi.org/10.1109/JSTARS.2017.2731995 Nihashi, S and Ohshima, KI and Tamura, T, Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, (9) pp. 3912-3922. ISSN 1939-1404 (2017) [Refereed Article] http://ecite.utas.edu.au/123599 Earth Sciences Oceanography Physical Oceanography Refereed Article PeerReviewed 2017 ftunivtasecite https://doi.org/10.1109/JSTARS.2017.2731995 2019-12-13T22:22:22Z Antarctic coastal polynyas are very high sea-ice production areas. The resultant large amount of brine rejection leads to the formation of dense water. The dense water forms Antarctic bottom water, which is the densest water in the global overturning circulation and a key player in climate change as a significant sink for heat and carbon dioxide. In this study, an algorithm was developed that uses Advanced Microwave Scanning Radiometer 2 (AMSR2) data (2012-present) to detect polynya area and estimates thin ice thickness by a method similar to that used to develop the algorithm for Advanced Microwave Scanning Radiometer for EOS (AMSR-E) data. Landfast sea-ice areas were also detected using AMSR2 data. Ice production in the polynyas was estimated by a heat flux calculation using AMSR2 sea-ice data. In four major polynyas, AMSR2 ice production was compared with AMSR-E (2003-2011) ice production through comparison of them with Special Sensor Microwave Imager (SSM/I) and Special Sensor Microwave Imager/Sounder (SSMIS) ice production. The comparison confirmed that the ice production from AMSR-E/2 data, which have higher spatial resolution than SSM/I-SSMIS data, can be used to analyze time series covering more than 10 years. For example, maps of annual ice production based on AMSR-E/2 data revealed detailed changes of the Mertz Polynya, where the ice production decreased significantly after the Mertz Glacier Tongue calving in 2010. Continuous monitoring of the coastal polynyas by the AMSR series sensors is essential for climate-change-related analyses in the Antarctic Ocean. Article in Journal/Newspaper Antarc* Antarctic Antarctic Ocean Mertz Glacier Sea ice eCite UTAS (University of Tasmania) Antarctic The Antarctic Antarctic Ocean Mertz Glacier ENVELOPE(144.500,144.500,-67.667,-67.667) Mertz Glacier Tongue ENVELOPE(145.500,145.500,-67.167,-67.167) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 9 3912 3922
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Earth Sciences
Oceanography
Physical Oceanography
spellingShingle Earth Sciences
Oceanography
Physical Oceanography
Nihashi, S
Ohshima, KI
Tamura, T
Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data
topic_facet Earth Sciences
Oceanography
Physical Oceanography
description Antarctic coastal polynyas are very high sea-ice production areas. The resultant large amount of brine rejection leads to the formation of dense water. The dense water forms Antarctic bottom water, which is the densest water in the global overturning circulation and a key player in climate change as a significant sink for heat and carbon dioxide. In this study, an algorithm was developed that uses Advanced Microwave Scanning Radiometer 2 (AMSR2) data (2012-present) to detect polynya area and estimates thin ice thickness by a method similar to that used to develop the algorithm for Advanced Microwave Scanning Radiometer for EOS (AMSR-E) data. Landfast sea-ice areas were also detected using AMSR2 data. Ice production in the polynyas was estimated by a heat flux calculation using AMSR2 sea-ice data. In four major polynyas, AMSR2 ice production was compared with AMSR-E (2003-2011) ice production through comparison of them with Special Sensor Microwave Imager (SSM/I) and Special Sensor Microwave Imager/Sounder (SSMIS) ice production. The comparison confirmed that the ice production from AMSR-E/2 data, which have higher spatial resolution than SSM/I-SSMIS data, can be used to analyze time series covering more than 10 years. For example, maps of annual ice production based on AMSR-E/2 data revealed detailed changes of the Mertz Polynya, where the ice production decreased significantly after the Mertz Glacier Tongue calving in 2010. Continuous monitoring of the coastal polynyas by the AMSR series sensors is essential for climate-change-related analyses in the Antarctic Ocean.
format Article in Journal/Newspaper
author Nihashi, S
Ohshima, KI
Tamura, T
author_facet Nihashi, S
Ohshima, KI
Tamura, T
author_sort Nihashi, S
title Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data
title_short Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data
title_full Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data
title_fullStr Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data
title_full_unstemmed Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data
title_sort sea-ice production in antarctic coastal polynyas estimated from amsr2 data and its validation using amsr-e and ssm/i-ssmis data
publisher Institute of Electrical and Electronics Engineers
publishDate 2017
url https://doi.org/10.1109/JSTARS.2017.2731995
http://ecite.utas.edu.au/123599
long_lat ENVELOPE(144.500,144.500,-67.667,-67.667)
ENVELOPE(145.500,145.500,-67.167,-67.167)
geographic Antarctic
The Antarctic
Antarctic Ocean
Mertz Glacier
Mertz Glacier Tongue
geographic_facet Antarctic
The Antarctic
Antarctic Ocean
Mertz Glacier
Mertz Glacier Tongue
genre Antarc*
Antarctic
Antarctic Ocean
Mertz Glacier
Sea ice
genre_facet Antarc*
Antarctic
Antarctic Ocean
Mertz Glacier
Sea ice
op_relation http://dx.doi.org/10.1109/JSTARS.2017.2731995
Nihashi, S and Ohshima, KI and Tamura, T, Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I-SSMIS data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, (9) pp. 3912-3922. ISSN 1939-1404 (2017) [Refereed Article]
http://ecite.utas.edu.au/123599
op_doi https://doi.org/10.1109/JSTARS.2017.2731995
container_title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
container_volume 10
container_issue 9
container_start_page 3912
op_container_end_page 3922
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