Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region

We analyzed a variety of satellite-based ocean color products derived using MODIS-Aqua to investigate the most accurate empirical and semi-analytical algorithms for representing in-situ chromophoric dissolved organic matter (CDOM) across a large latitudinal transect in the Bering, Chukchi, and weste...

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Published in:Remote Sensing
Main Authors: Melishia I. Santiago, Karen E. Frey
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13183673
https://doaj.org/article/18776a3113134448b12ca0e0a3cc5771
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spelling ftdoajarticles:oai:doaj.org/article:18776a3113134448b12ca0e0a3cc5771 2023-05-15T14:43:18+02:00 Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region Melishia I. Santiago Karen E. Frey 2021-09-01T00:00:00Z https://doi.org/10.3390/rs13183673 https://doaj.org/article/18776a3113134448b12ca0e0a3cc5771 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/18/3673 https://doaj.org/toc/2072-4292 doi:10.3390/rs13183673 2072-4292 https://doaj.org/article/18776a3113134448b12ca0e0a3cc5771 Remote Sensing, Vol 13, Iss 3673, p 3673 (2021) Arctic Arctic Ocean CDOM MODIS-Aqua semi-analytical algorithm Bering Sea Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13183673 2022-12-31T15:30:30Z We analyzed a variety of satellite-based ocean color products derived using MODIS-Aqua to investigate the most accurate empirical and semi-analytical algorithms for representing in-situ chromophoric dissolved organic matter (CDOM) across a large latitudinal transect in the Bering, Chukchi, and western Beaufort Seas of the Pacific Arctic region. In particular, we compared the performance of empirical (CDOM index) and several semi-analytical algorithms (quasi-analytical algorithm (QAA), Carder, Garver-Siegel-Maritorena (GSM), and GSM-A) with field measurements of CDOM absorption ( a CDOM ) at 412 nanometers (nm) and 443 nm. These algorithms were compared with in-situ CDOM measurements collected on cruises during July 2011, 2013, 2014, 2015, 2016, and 2017. Our findings show that the QAA a 443 and GSM-A a 443 algorithms are the most accurate and robust representation of in-situ conditions, and that the GSM-A a 443 algorithm is the most accurate algorithm when considering all statistical metrics utilized here. Our further assessments indicate that geographic variables (distance to coast, latitude, and sampling transects) did not obviously relate to algorithm accuracy. In general, none of the algorithms investigated showed a statistically significant agreement with field measurements beyond an approximately ± 60 h offset, likely owing to the highly variable environmental conditions found across the Pacific Arctic region. As such, we suggest that satellite observations of CDOM in these Arctic regions should not be used to represent in-situ conditions beyond a ± 60 h timeframe. Article in Journal/Newspaper Arctic Arctic Ocean Bering Sea Chukchi Pacific Arctic Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Bering Sea Pacific Remote Sensing 13 18 3673
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic
Arctic Ocean
CDOM
MODIS-Aqua
semi-analytical algorithm
Bering Sea
Science
Q
spellingShingle Arctic
Arctic Ocean
CDOM
MODIS-Aqua
semi-analytical algorithm
Bering Sea
Science
Q
Melishia I. Santiago
Karen E. Frey
Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
topic_facet Arctic
Arctic Ocean
CDOM
MODIS-Aqua
semi-analytical algorithm
Bering Sea
Science
Q
description We analyzed a variety of satellite-based ocean color products derived using MODIS-Aqua to investigate the most accurate empirical and semi-analytical algorithms for representing in-situ chromophoric dissolved organic matter (CDOM) across a large latitudinal transect in the Bering, Chukchi, and western Beaufort Seas of the Pacific Arctic region. In particular, we compared the performance of empirical (CDOM index) and several semi-analytical algorithms (quasi-analytical algorithm (QAA), Carder, Garver-Siegel-Maritorena (GSM), and GSM-A) with field measurements of CDOM absorption ( a CDOM ) at 412 nanometers (nm) and 443 nm. These algorithms were compared with in-situ CDOM measurements collected on cruises during July 2011, 2013, 2014, 2015, 2016, and 2017. Our findings show that the QAA a 443 and GSM-A a 443 algorithms are the most accurate and robust representation of in-situ conditions, and that the GSM-A a 443 algorithm is the most accurate algorithm when considering all statistical metrics utilized here. Our further assessments indicate that geographic variables (distance to coast, latitude, and sampling transects) did not obviously relate to algorithm accuracy. In general, none of the algorithms investigated showed a statistically significant agreement with field measurements beyond an approximately ± 60 h offset, likely owing to the highly variable environmental conditions found across the Pacific Arctic region. As such, we suggest that satellite observations of CDOM in these Arctic regions should not be used to represent in-situ conditions beyond a ± 60 h timeframe.
format Article in Journal/Newspaper
author Melishia I. Santiago
Karen E. Frey
author_facet Melishia I. Santiago
Karen E. Frey
author_sort Melishia I. Santiago
title Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
title_short Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
title_full Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
title_fullStr Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
title_full_unstemmed Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
title_sort assessment of empirical and semi-analytical algorithms using modis-aqua for representing in-situ chromophoric dissolved organic matter (cdom) in the bering, chukchi, and western beaufort seas of the pacific arctic region
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13183673
https://doaj.org/article/18776a3113134448b12ca0e0a3cc5771
geographic Arctic
Arctic Ocean
Bering Sea
Pacific
geographic_facet Arctic
Arctic Ocean
Bering Sea
Pacific
genre Arctic
Arctic Ocean
Bering Sea
Chukchi
Pacific Arctic
genre_facet Arctic
Arctic Ocean
Bering Sea
Chukchi
Pacific Arctic
op_source Remote Sensing, Vol 13, Iss 3673, p 3673 (2021)
op_relation https://www.mdpi.com/2072-4292/13/18/3673
https://doaj.org/toc/2072-4292
doi:10.3390/rs13183673
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container_title Remote Sensing
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