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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ftmdpi:oai:mdpi.com:/2072-4292/13/18/3673/ 2023-08-20T04:03:42+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 agris 2021-09-14 application/pdf https://doi.org/10.3390/rs13183673 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs13183673 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 18; Pages: 3673 Arctic Arctic Ocean CDOM MODIS-Aqua semi-analytical algorithm Bering Sea Chukchi Sea Beaufort Sea Text 2021 ftmdpi https://doi.org/10.3390/rs13183673 2023-08-01T02:41:58Z 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 (aCDOM) 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 a443 and GSM-A a443 algorithms are the most accurate and robust representation of in-situ conditions, and that the GSM-A a443 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. Text Arctic Arctic Ocean Beaufort Sea Bering Sea Chukchi Chukchi Sea Pacific Arctic MDPI Open Access Publishing Arctic Arctic Ocean Bering Sea Chukchi Sea Pacific Remote Sensing 13 18 3673 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Arctic Arctic Ocean CDOM MODIS-Aqua semi-analytical algorithm Bering Sea Chukchi Sea Beaufort Sea |
spellingShingle |
Arctic Arctic Ocean CDOM MODIS-Aqua semi-analytical algorithm Bering Sea Chukchi Sea Beaufort Sea 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 Chukchi Sea Beaufort Sea |
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 (aCDOM) 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 a443 and GSM-A a443 algorithms are the most accurate and robust representation of in-situ conditions, and that the GSM-A a443 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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13183673 |
op_coverage |
agris |
geographic |
Arctic Arctic Ocean Bering Sea Chukchi Sea Pacific |
geographic_facet |
Arctic Arctic Ocean Bering Sea Chukchi Sea Pacific |
genre |
Arctic Arctic Ocean Beaufort Sea Bering Sea Chukchi Chukchi Sea Pacific Arctic |
genre_facet |
Arctic Arctic Ocean Beaufort Sea Bering Sea Chukchi Chukchi Sea Pacific Arctic |
op_source |
Remote Sensing; Volume 13; Issue 18; Pages: 3673 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs13183673 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13183673 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
18 |
container_start_page |
3673 |
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1774714129636917248 |