In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise

The Arctic issue has increased due to global warming. The Arctic is losing the role of cooling because reducing sea ice by warming on the Arctic, which is changing the energy balance on the Earth system. Change of Arctic ocean, atmosphere, and cryosphere influence on an ecosystem of Arctic as well....

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Published in:GEO DATA
Main Authors: Sungjae Lee, Hyun-Cheol Kim
Format: Article in Journal/Newspaper
Language:English
Korean
Published: GeoAI Data Society 2020
Subjects:
Online Access:https://doi.org/10.22761/DJ2020.2.2.009
https://doaj.org/article/7cbf51b5993a4aa08d25d2a976c5bea5
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spelling ftdoajarticles:oai:doaj.org/article:7cbf51b5993a4aa08d25d2a976c5bea5 2023-10-09T21:47:53+02:00 In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise Sungjae Lee Hyun-Cheol Kim 2020-12-01T00:00:00Z https://doi.org/10.22761/DJ2020.2.2.009 https://doaj.org/article/7cbf51b5993a4aa08d25d2a976c5bea5 EN KO eng kor GeoAI Data Society http://geodata.kr/upload/pdf/geo-2-2-63.pdf https://doaj.org/toc/2713-5004 2713-5004 doi:10.22761/DJ2020.2.2.009 https://doaj.org/article/7cbf51b5993a4aa08d25d2a976c5bea5 Geo Data, Vol 2, Iss 2, Pp 63-70 (2020) arctic sea ibrv araon ocean color remote sensing inherent optical property apparent optical property Environmental sciences GE1-350 Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.22761/DJ2020.2.2.009 2023-09-10T00:35:52Z The Arctic issue has increased due to global warming. The Arctic is losing the role of cooling because reducing sea ice by warming on the Arctic, which is changing the energy balance on the Earth system. Change of Arctic ocean, atmosphere, and cryosphere influence on an ecosystem of Arctic as well. These changes are monitoring by remote sensing due to the Arctic is difficult for human access, and where is a wide area. However, a low solar altitude on the Arctic limits Ocean Color Algorithms applies to the Arctic because most ocean color algorithms are based on empirical data in the mid-latitude. Continuous data sampling on the Arctic ocean is the best way to improve and develop a suitable ocean color algorithm for the Arctic. This paper aims to report ocean observation data acquired by Ice-Breaker research vessel Araon during the summer Arctic expedition of 2019. Acquired samples are chlorophyll-a, suspended sediment concentration, in-situ measured ocean optical properties. Sampled data showed that there is a significant effect of dissolved organic matter in its inherent optical properties. We use these data for the aims of improving and develop ocean color algorithms in the Arctic. Article in Journal/Newspaper Arctic Arctic Ocean Global warming Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Breaker ENVELOPE(-67.257,-67.257,-67.874,-67.874) GEO DATA 2 2 63 70
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
Korean
topic arctic sea
ibrv araon
ocean color remote sensing
inherent optical property
apparent optical property
Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle arctic sea
ibrv araon
ocean color remote sensing
inherent optical property
apparent optical property
Environmental sciences
GE1-350
Geology
QE1-996.5
Sungjae Lee
Hyun-Cheol Kim
In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise
topic_facet arctic sea
ibrv araon
ocean color remote sensing
inherent optical property
apparent optical property
Environmental sciences
GE1-350
Geology
QE1-996.5
description The Arctic issue has increased due to global warming. The Arctic is losing the role of cooling because reducing sea ice by warming on the Arctic, which is changing the energy balance on the Earth system. Change of Arctic ocean, atmosphere, and cryosphere influence on an ecosystem of Arctic as well. These changes are monitoring by remote sensing due to the Arctic is difficult for human access, and where is a wide area. However, a low solar altitude on the Arctic limits Ocean Color Algorithms applies to the Arctic because most ocean color algorithms are based on empirical data in the mid-latitude. Continuous data sampling on the Arctic ocean is the best way to improve and develop a suitable ocean color algorithm for the Arctic. This paper aims to report ocean observation data acquired by Ice-Breaker research vessel Araon during the summer Arctic expedition of 2019. Acquired samples are chlorophyll-a, suspended sediment concentration, in-situ measured ocean optical properties. Sampled data showed that there is a significant effect of dissolved organic matter in its inherent optical properties. We use these data for the aims of improving and develop ocean color algorithms in the Arctic.
format Article in Journal/Newspaper
author Sungjae Lee
Hyun-Cheol Kim
author_facet Sungjae Lee
Hyun-Cheol Kim
author_sort Sungjae Lee
title In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise
title_short In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise
title_full In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise
title_fullStr In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise
title_full_unstemmed In-situ Measurement of the Arctic Ocean for Optical Property Analysis During 2019 Cruise
title_sort in-situ measurement of the arctic ocean for optical property analysis during 2019 cruise
publisher GeoAI Data Society
publishDate 2020
url https://doi.org/10.22761/DJ2020.2.2.009
https://doaj.org/article/7cbf51b5993a4aa08d25d2a976c5bea5
long_lat ENVELOPE(-67.257,-67.257,-67.874,-67.874)
geographic Arctic
Arctic Ocean
Breaker
geographic_facet Arctic
Arctic Ocean
Breaker
genre Arctic
Arctic Ocean
Global warming
Sea ice
genre_facet Arctic
Arctic Ocean
Global warming
Sea ice
op_source Geo Data, Vol 2, Iss 2, Pp 63-70 (2020)
op_relation http://geodata.kr/upload/pdf/geo-2-2-63.pdf
https://doaj.org/toc/2713-5004
2713-5004
doi:10.22761/DJ2020.2.2.009
https://doaj.org/article/7cbf51b5993a4aa08d25d2a976c5bea5
op_doi https://doi.org/10.22761/DJ2020.2.2.009
container_title GEO DATA
container_volume 2
container_issue 2
container_start_page 63
op_container_end_page 70
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