Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838
As consequences of global warming sea-ice shrinking, permafrost thawing and changes in fresh water and terrestrial material export have already been reported in the Arctic environment. These processes impact light penetration and primary production. To reach a better understanding of the current sta...
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ftdatacite:10.1594/pangaea.867532 2023-05-15T14:34:06+02:00 Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 Gonçalves-Araujo, Rafael Peeken, Ilka Bracher, Astrid 2018 application/zip https://dx.doi.org/10.1594/pangaea.867532 https://doi.pangaea.de/10.1594/PANGAEA.867532 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://dx.doi.org/10.1371/journal.pone.0190838 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY FRontiers in Arctic marine Monitoring FRAM article Supplementary Collection of Datasets Collection 2018 ftdatacite https://doi.org/10.1594/pangaea.867532 https://doi.org/10.1371/journal.pone.0190838 2022-02-09T13:17:17Z As consequences of global warming sea-ice shrinking, permafrost thawing and changes in fresh water and terrestrial material export have already been reported in the Arctic environment. These processes impact light penetration and primary production. To reach a better understanding of the current status and to provide accurate forecasts Arctic biogeochemical and physical parameters need to be extensively monitored. In this sense, bio-optical properties are useful to be measured due to the applicability of optical instrumentation to autonomous platforms, including satellites. This study characterizes the non-water absorbers and their coupling to hydrographic conditions in the poorly sampled surface waters of the central and eastern Arctic Ocean. Over the entire sampled area colored dissolved organic matter (CDOM) dominates the light absorption in surface waters. The distribution of CDOM, phytoplankton and non-algal particles absorption reproduces the hydrographic variability in this region of the Arctic Ocean which suggests a subdivision into five major bio-optical provinces: Laptev Sea Shelf, Laptev Sea, Central Arctic/Transpolar Drift, Beaufort Gyre and Eurasian/Nansen Basin. Evaluating ocean color algorithms commonly applied in the Arctic Ocean shows that global and regionally tuned empirical algorithms provide poor chlorophyll-a (Chl-a) estimates. The semi-analytical algorithms Generalized Inherent Optical Property model (GIOP) and Garver-Siegel-Maritorena (GSM), on the other hand, provide robust estimates of Chl-a and absorption of colored matter. Applying GSM with modifications proposed for the western Arctic Ocean produced reliable information on the absorption by colored matter, and specifically by CDOM. These findings highlight that only semi-analytical ocean color algorithms are able to identify with low uncertainty the distribution of the different optical water constituents in these high CDOM absorbing waters. In addition, a clustering of the Arctic Ocean into bio-optical provinces will help to develop and then select province-specific ocean color algorithms. Article in Journal/Newspaper Arctic Arctic Ocean Global warming Ice laptev Laptev Sea Nansen Basin permafrost Phytoplankton Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Laptev Sea |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
FRontiers in Arctic marine Monitoring FRAM |
spellingShingle |
FRontiers in Arctic marine Monitoring FRAM Gonçalves-Araujo, Rafael Peeken, Ilka Bracher, Astrid Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 |
topic_facet |
FRontiers in Arctic marine Monitoring FRAM |
description |
As consequences of global warming sea-ice shrinking, permafrost thawing and changes in fresh water and terrestrial material export have already been reported in the Arctic environment. These processes impact light penetration and primary production. To reach a better understanding of the current status and to provide accurate forecasts Arctic biogeochemical and physical parameters need to be extensively monitored. In this sense, bio-optical properties are useful to be measured due to the applicability of optical instrumentation to autonomous platforms, including satellites. This study characterizes the non-water absorbers and their coupling to hydrographic conditions in the poorly sampled surface waters of the central and eastern Arctic Ocean. Over the entire sampled area colored dissolved organic matter (CDOM) dominates the light absorption in surface waters. The distribution of CDOM, phytoplankton and non-algal particles absorption reproduces the hydrographic variability in this region of the Arctic Ocean which suggests a subdivision into five major bio-optical provinces: Laptev Sea Shelf, Laptev Sea, Central Arctic/Transpolar Drift, Beaufort Gyre and Eurasian/Nansen Basin. Evaluating ocean color algorithms commonly applied in the Arctic Ocean shows that global and regionally tuned empirical algorithms provide poor chlorophyll-a (Chl-a) estimates. The semi-analytical algorithms Generalized Inherent Optical Property model (GIOP) and Garver-Siegel-Maritorena (GSM), on the other hand, provide robust estimates of Chl-a and absorption of colored matter. Applying GSM with modifications proposed for the western Arctic Ocean produced reliable information on the absorption by colored matter, and specifically by CDOM. These findings highlight that only semi-analytical ocean color algorithms are able to identify with low uncertainty the distribution of the different optical water constituents in these high CDOM absorbing waters. In addition, a clustering of the Arctic Ocean into bio-optical provinces will help to develop and then select province-specific ocean color algorithms. |
format |
Article in Journal/Newspaper |
author |
Gonçalves-Araujo, Rafael Peeken, Ilka Bracher, Astrid |
author_facet |
Gonçalves-Araujo, Rafael Peeken, Ilka Bracher, Astrid |
author_sort |
Gonçalves-Araujo, Rafael |
title |
Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 |
title_short |
Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 |
title_full |
Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 |
title_fullStr |
Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 |
title_full_unstemmed |
Colored dissolved organic matter absorption by waters of central-eastern Arctic Ocean, supplement to: Gonçalves-Araujo, Rafael; Rabe, Benjamin; Peeken, Ilka; Bracher, Astrid (2018): High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms. PLoS ONE, 13(1), e0190838 |
title_sort |
colored dissolved organic matter absorption by waters of central-eastern arctic ocean, supplement to: gonçalves-araujo, rafael; rabe, benjamin; peeken, ilka; bracher, astrid (2018): high colored dissolved organic matter (cdom) absorption in surface waters of the central-eastern arctic ocean: implications for biogeochemistry and ocean color algorithms. plos one, 13(1), e0190838 |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2018 |
url |
https://dx.doi.org/10.1594/pangaea.867532 https://doi.pangaea.de/10.1594/PANGAEA.867532 |
geographic |
Arctic Arctic Ocean Laptev Sea |
geographic_facet |
Arctic Arctic Ocean Laptev Sea |
genre |
Arctic Arctic Ocean Global warming Ice laptev Laptev Sea Nansen Basin permafrost Phytoplankton Sea ice |
genre_facet |
Arctic Arctic Ocean Global warming Ice laptev Laptev Sea Nansen Basin permafrost Phytoplankton Sea ice |
op_relation |
https://dx.doi.org/10.1371/journal.pone.0190838 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.867532 https://doi.org/10.1371/journal.pone.0190838 |
_version_ |
1766307210985472000 |