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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Clark Digital Commons
2021
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Online Access: | https://commons.clarku.edu/faculty_geography/189 https://doi.org/10.3390/rs13183673 https://commons.clarku.edu/context/faculty_geography/article/1188/viewcontent/GeographyFacultyWorks_Frey_AssessEmpir_2022.pdf |
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ftclarkuniv:oai:commons.clarku.edu:faculty_geography-1188 2023-09-05T13:16:30+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 Santiago, Melishia I. Frey, Karen E. 2021-01-01T08:00:00Z application/pdf https://commons.clarku.edu/faculty_geography/189 https://doi.org/10.3390/rs13183673 https://commons.clarku.edu/context/faculty_geography/article/1188/viewcontent/GeographyFacultyWorks_Frey_AssessEmpir_2022.pdf unknown Clark Digital Commons https://commons.clarku.edu/faculty_geography/189 doi:10.3390/rs13183673 https://commons.clarku.edu/context/faculty_geography/article/1188/viewcontent/GeographyFacultyWorks_Frey_AssessEmpir_2022.pdf http://creativecommons.org/licenses/by/4.0/ Geography Arctic Arctic ocean Beaufort sea Bering sea CDOM Chukchi sea MODIS-aqua semi-analytical algorithm Oceanography Remote Sensing text 2021 ftclarkuniv https://doi.org/10.3390/rs13183673 2023-08-14T06:16:39Z 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 re-late 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 Clark University: Clark Digital Commons Arctic Arctic Ocean Bering Sea Chukchi Sea Pacific Remote Sensing 13 18 3673 |
institution |
Open Polar |
collection |
Clark University: Clark Digital Commons |
op_collection_id |
ftclarkuniv |
language |
unknown |
topic |
Arctic Arctic ocean Beaufort sea Bering sea CDOM Chukchi sea MODIS-aqua semi-analytical algorithm Oceanography Remote Sensing |
spellingShingle |
Arctic Arctic ocean Beaufort sea Bering sea CDOM Chukchi sea MODIS-aqua semi-analytical algorithm Oceanography Remote Sensing Santiago, Melishia I. Frey, Karen E. 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 Beaufort sea Bering sea CDOM Chukchi sea MODIS-aqua semi-analytical algorithm Oceanography Remote Sensing |
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 re-late 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 |
Santiago, Melishia I. Frey, Karen E. |
author_facet |
Santiago, Melishia I. Frey, Karen E. |
author_sort |
Santiago, Melishia I. |
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 |
Clark Digital Commons |
publishDate |
2021 |
url |
https://commons.clarku.edu/faculty_geography/189 https://doi.org/10.3390/rs13183673 https://commons.clarku.edu/context/faculty_geography/article/1188/viewcontent/GeographyFacultyWorks_Frey_AssessEmpir_2022.pdf |
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 |
Geography |
op_relation |
https://commons.clarku.edu/faculty_geography/189 doi:10.3390/rs13183673 https://commons.clarku.edu/context/faculty_geography/article/1188/viewcontent/GeographyFacultyWorks_Frey_AssessEmpir_2022.pdf |
op_rights |
http://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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1776198054801571840 |