Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product

24 pages, 10 figures, 1 table, supplementary material https://www.frontiersin.org/articles/10.3389/frsen.2026.1768049/full#supplementary-material.-- Data availability statement: The products are publicly available through the Digital CSIC server: https://digital.csic.es/handle/10261/340924 (last acc...

ver descrição completa

Detalhes bibliográficos
Autores: Sánchez Urrea, María, Galí, Martí, Umbert, Marta, Gabarró, Carolina, Andrés Marruedo, Eva de, Gonçalves-Araujo, Rafael
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2026
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::ff48b1ab2ffaa40cfed1a8f65441e5d1
Acesso em linha:http://hdl.handle.net/10261/432127
Access Level:Acceso aberto
Palavra-chave:aCDOM(443)
Arctic coastal waters
DOC
Copernicus GlobColour
Mackenzie River
Ocean colour remote sensing
id ES_a620daf7a423e44bb525b4f047cce191
oai_identifier_str oai:dnet:digitalcsic_::ff48b1ab2ffaa40cfed1a8f65441e5d1
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
title Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
spellingShingle Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
Sánchez Urrea, María
aCDOM(443)
Arctic coastal waters
DOC
Copernicus GlobColour
Mackenzie River
Ocean colour remote sensing
title_short Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
title_full Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
title_fullStr Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
title_full_unstemmed Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
title_sort Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product
dc.creator.none.fl_str_mv Sánchez Urrea, María
Galí, Martí
Umbert, Marta
Gabarró, Carolina
Andrés Marruedo, Eva de
Gonçalves-Araujo, Rafael
author Sánchez Urrea, María
author_facet Sánchez Urrea, María
Galí, Martí
Umbert, Marta
Gabarró, Carolina
Andrés Marruedo, Eva de
Gonçalves-Araujo, Rafael
author_role author
author2 Galí, Martí
Umbert, Marta
Gabarró, Carolina
Andrés Marruedo, Eva de
Gonçalves-Araujo, Rafael
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Ministerio de Ciencia e Innovación (España)
European Commission
Independent Research Fund Denmark
CSIC - Plataforma Temática Interdisciplinar del CSIC Polar CSIC (PTI POLARCSIC)
dc.subject.none.fl_str_mv aCDOM(443)
Arctic coastal waters
DOC
Copernicus GlobColour
Mackenzie River
Ocean colour remote sensing
topic aCDOM(443)
Arctic coastal waters
DOC
Copernicus GlobColour
Mackenzie River
Ocean colour remote sensing
description 24 pages, 10 figures, 1 table, supplementary material https://www.frontiersin.org/articles/10.3389/frsen.2026.1768049/full#supplementary-material.-- Data availability statement: The products are publicly available through the Digital CSIC server: https://digital.csic.es/handle/10261/340924 (last accessed: 20 December 2023), with the DOI number: https://doi.org/10.20350/digitalCSIC/15721 (S´anchez-Urrea et al., 2023). All code associated with the algorithm presented in this study is openly accessible under the Creative Commons 4.0 license via Zenodo (https://doi.org/10.5281/ zenodo.16603282; S´anchez-Urrea et al., 2025)
publishDate 2026
dc.date.none.fl_str_mv 2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/432127
url http://hdl.handle.net/10261/432127
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125324OB-I00
info:eu-repo/grantAgreement/EC/H2020/840374
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113051RB-C31
https://doi.org/10.3389/frsen.2026.1768049

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869415672226775040
spelling Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour productSánchez Urrea, MaríaGalí, MartíUmbert, MartaGabarró, CarolinaAndrés Marruedo, Eva deGonçalves-Araujo, RafaelaCDOM(443)Arctic coastal watersDOCCopernicus GlobColourMackenzie RiverOcean colour remote sensing24 pages, 10 figures, 1 table, supplementary material https://www.frontiersin.org/articles/10.3389/frsen.2026.1768049/full#supplementary-material.-- Data availability statement: The products are publicly available through the Digital CSIC server: https://digital.csic.es/handle/10261/340924 (last accessed: 20 December 2023), with the DOI number: https://doi.org/10.20350/digitalCSIC/15721 (S´anchez-Urrea et al., 2023). All code associated with the algorithm presented in this study is openly accessible under the Creative Commons 4.0 license via Zenodo (https://doi.org/10.5281/ zenodo.16603282; S´anchez-Urrea et al., 2025)In the regime-shifting Arctic, organic carbon export from river watersheds is expected to rise due to changes in hydrological regimes and permafrost thawing, affecting coastal and shelf biogeochemistry. Ocean color remote sensing enables monitoring inaccessible areas like the Beaufort Sea, improving our knowledge of coastal dynamics and land-to-ocean transport of Chromophoric Dissolved Organic Matter (CDOM) and Dissolved Organic Carbon (DOC) during the ice-free season. While multi-sensor datasets provide consistent monitoring over extended periods, the viability of using merged L3 remote sensing reflectance (Rrs) to derive carbon-based regional products remains unexplored. This study uses the Copernicus-GlobColour multi-sensor merged Rrs to generate a long-term dataset of CDOM absorption at 443 nm, aCDOM(443), and DOC concentrations in the Mackenzie River–Beaufort Sea region. We employ a modified GIOP (Generalized Inherent Optical Properties) inversion algorithm to retrieve aCDOM(443); then, derive DOC using a region-specific aCDOM(443)-DOC relationship. Validation against in situ observations shows performance comparable to previous studies, with a MdAPD (r2) of 56% (0.55) for aCDOM(443) and 29% (0.70) for DOC. This novel dataset allows for a detailed analysis of riverine plume dynamics, interannual variability, and trends. Average summer plume extent ranges from 43,068 to 92,388 km2 and is significantly correlated with annual discharge (r = 0.6, p< 0.001). When compared to independent in situ DOC estimates (1999-2017) at the river mouth, our satellite product shows consistent variability patterns. Contrary to initial expectations, a significant decline of −0.017 m−1yr−1 and −3.40 μM yr−1 is observed over a 26-year period for aCDOM(443) and DOC, respectively, at the Mackenzie delta outflow, resulting from a slight increase (1998–2015) followed by a decrease (2016–2023). These results suggest that trends in DOC fluxes need to be assessed using longer time series while considering significant uncertainties in both retrieval accuracy and variable spatiotemporal coverage over multidecadal periodsThis work has been carried out as part of the ARCTIC-MON project (Advances in monitoring sea ice thickness and snow depth, ocean dynamics, and freshwater content in the Arctic using remote sensing data), funded through the Agencia Estatal de Investigación (AEI) (grant no. PID 2021-125324OB-I00). María Sánchez-Urrea gratefully acknowledges the financial support from the PhD Grant PRE 2021-099346 from Spanish Ministry for Science and Innovation. MU was funded by Marie Skłodowska-Curie Grant Agreement No. 840374. ED was funded by Margarita Salas Grant No. UP 2021-035 under the Next-Generation EU program and supported by the MCIN/AEI project PID 2020-113051RB-C31. RG-A was supported by the Independent Research Fund Denmark (4251-00058B). This work constitutes a contribution to the CSIC Thematic Interdisciplinary Platform PTI-POLARCSIC and PTI-TELEDETECT and is supported by the Spanish government through the “Severo Ochoa Centre of Excellence” accreditation (CEX2019–000928-S)Peer reviewedFrontiers MediaAgencia Estatal de Investigación (España)Ministerio de Ciencia e Innovación (España)European CommissionIndependent Research Fund DenmarkCSIC - Plataforma Temática Interdisciplinar del CSIC Polar CSIC (PTI POLARCSIC)202620262026info:eu-repo/semantics/articlePublisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/432127reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125324OB-I00info:eu-repo/grantAgreement/EC/H2020/840374info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113051RB-C31https://doi.org/10.3389/frsen.2026.1768049Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::ff48b1ab2ffaa40cfed1a8f65441e5d12026-05-22T06:33:51Z
score 15,812429