Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data

Satellite observations are an integral component of long-term Arctic Ocean monitoring and help identifying changes resulting from climate warming. A Self-Organizing Maps (SOM) approach was applied to four-day composite satellite images of the Eastern Beaufort Sea (EBS) acquired by the MODerate resol...

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Published in:Frontiers in Marine Science
Main Authors: Andrea Hilborn, Emmanuel Devred
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
Q
Online Access:https://doi.org/10.3389/fmars.2022.912865
https://doaj.org/article/963f73dd27884fe3802a7ee863690a0a
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spelling ftdoajarticles:oai:doaj.org/article:963f73dd27884fe3802a7ee863690a0a 2023-05-15T13:22:52+02:00 Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data Andrea Hilborn Emmanuel Devred 2022-07-01T00:00:00Z https://doi.org/10.3389/fmars.2022.912865 https://doaj.org/article/963f73dd27884fe3802a7ee863690a0a EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2022.912865/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2022.912865 https://doaj.org/article/963f73dd27884fe3802a7ee863690a0a Frontiers in Marine Science, Vol 9 (2022) ocean colour Beaufort Sea chlorophyll-a concentration suspended particulate matter sea surface temperature biogeochemical regions Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2022 ftdoajarticles https://doi.org/10.3389/fmars.2022.912865 2022-12-30T23:00:12Z Satellite observations are an integral component of long-term Arctic Ocean monitoring and help identifying changes resulting from climate warming. A Self-Organizing Maps (SOM) approach was applied to four-day composite satellite images of the Eastern Beaufort Sea (EBS) acquired by the MODerate resolution Imaging Spectroradiometer over the period 2003–2019. Using sea-surface temperature (SST), suspended particulate matter concentration (SPM) and chlorophyll-a concentration (Chl-a) as input the EBS was partitioned into six biogeochemical regions. The SOM approach revealed region-specific mean conditions and seasonal cycles for all properties, particularly for SPM and Chl-a. Three of the six regions, located on the continental shelf, had the highest SST, SPM and Chl-a with earlier maxima compared to the remaining three regions which comprised the shelf edge, Canada Basin and Amundsen Gulf. While mean and maximum SST did not exhibit significant trends over the 17 years of observations, the annual maximum SST in Amundsen Gulf was reached significantly earlier in recent years compared to the start of the time series. With the exception of Amundsen Gulf, sea-ice concentration (SIC) derived from microwave satellites declined throughout the study area; monthly trends showed dramatic SIC declines in regions on the shelf during May and June, and in Canada Basin during August. Correlation analysis of properties within and between regions showed that SST and SIC were driven by large scale processes while SPM and Chl-a showed regional features. SST and Chl-a in the regions nearest the Mackenzie River showed a strong relationship during seasonal warming. The SOM approach, applied to 17 years of satellite data, revealed spatially distinct marine units with unique characteristics, emphasizing the need for regional considerations when assessing the impact of climate warming in the Arctic Ocean. Article in Journal/Newspaper Amundsen Gulf Arctic Arctic Ocean Beaufort Sea canada basin Mackenzie river Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Mackenzie River Canada Frontiers in Marine Science 9
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic ocean colour
Beaufort Sea
chlorophyll-a concentration
suspended particulate matter
sea surface temperature
biogeochemical regions
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
spellingShingle ocean colour
Beaufort Sea
chlorophyll-a concentration
suspended particulate matter
sea surface temperature
biogeochemical regions
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
Andrea Hilborn
Emmanuel Devred
Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data
topic_facet ocean colour
Beaufort Sea
chlorophyll-a concentration
suspended particulate matter
sea surface temperature
biogeochemical regions
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
description Satellite observations are an integral component of long-term Arctic Ocean monitoring and help identifying changes resulting from climate warming. A Self-Organizing Maps (SOM) approach was applied to four-day composite satellite images of the Eastern Beaufort Sea (EBS) acquired by the MODerate resolution Imaging Spectroradiometer over the period 2003–2019. Using sea-surface temperature (SST), suspended particulate matter concentration (SPM) and chlorophyll-a concentration (Chl-a) as input the EBS was partitioned into six biogeochemical regions. The SOM approach revealed region-specific mean conditions and seasonal cycles for all properties, particularly for SPM and Chl-a. Three of the six regions, located on the continental shelf, had the highest SST, SPM and Chl-a with earlier maxima compared to the remaining three regions which comprised the shelf edge, Canada Basin and Amundsen Gulf. While mean and maximum SST did not exhibit significant trends over the 17 years of observations, the annual maximum SST in Amundsen Gulf was reached significantly earlier in recent years compared to the start of the time series. With the exception of Amundsen Gulf, sea-ice concentration (SIC) derived from microwave satellites declined throughout the study area; monthly trends showed dramatic SIC declines in regions on the shelf during May and June, and in Canada Basin during August. Correlation analysis of properties within and between regions showed that SST and SIC were driven by large scale processes while SPM and Chl-a showed regional features. SST and Chl-a in the regions nearest the Mackenzie River showed a strong relationship during seasonal warming. The SOM approach, applied to 17 years of satellite data, revealed spatially distinct marine units with unique characteristics, emphasizing the need for regional considerations when assessing the impact of climate warming in the Arctic Ocean.
format Article in Journal/Newspaper
author Andrea Hilborn
Emmanuel Devred
author_facet Andrea Hilborn
Emmanuel Devred
author_sort Andrea Hilborn
title Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data
title_short Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data
title_full Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data
title_fullStr Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data
title_full_unstemmed Delineation of Eastern Beaufort Sea Sub-regions Using Self-Organizing Maps Applied to 17 Years of MODIS-Aqua Data
title_sort delineation of eastern beaufort sea sub-regions using self-organizing maps applied to 17 years of modis-aqua data
publisher Frontiers Media S.A.
publishDate 2022
url https://doi.org/10.3389/fmars.2022.912865
https://doaj.org/article/963f73dd27884fe3802a7ee863690a0a
geographic Arctic
Arctic Ocean
Mackenzie River
Canada
geographic_facet Arctic
Arctic Ocean
Mackenzie River
Canada
genre Amundsen Gulf
Arctic
Arctic Ocean
Beaufort Sea
canada basin
Mackenzie river
Sea ice
genre_facet Amundsen Gulf
Arctic
Arctic Ocean
Beaufort Sea
canada basin
Mackenzie river
Sea ice
op_source Frontiers in Marine Science, Vol 9 (2022)
op_relation https://www.frontiersin.org/articles/10.3389/fmars.2022.912865/full
https://doaj.org/toc/2296-7745
2296-7745
doi:10.3389/fmars.2022.912865
https://doaj.org/article/963f73dd27884fe3802a7ee863690a0a
op_doi https://doi.org/10.3389/fmars.2022.912865
container_title Frontiers in Marine Science
container_volume 9
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