Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea
The aim of this work is to study the influence of errors on the accuracy of estimation of absorbed solar energy in the visible spectral range in the water column of the Barents Sea occurring due to the use of various satellite ocean color chlorophyll-retrieval algorithms. The estimates of absorbed e...
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ftmdpi:oai:mdpi.com:/2072-4292/14/19/4995/ 2023-08-20T04:05:29+02:00 Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea Dmitry Glukhovets Sergey Sheberstov Svetlana Vazyulya Anna Yushmanova Pavel Salyuk Inna Sahling Evgeniia Aglova agris 2022-10-07 application/pdf https://doi.org/10.3390/rs14194995 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs14194995 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 19; Pages: 4995 optical characteristics chlorophyll- a concentration ocean color seawater photosynthetically active radiation numerical calculations solar energy absorption Barents Sea Text 2022 ftmdpi https://doi.org/10.3390/rs14194995 2023-08-01T06:47:13Z The aim of this work is to study the influence of errors on the accuracy of estimation of absorbed solar energy in the visible spectral range in the water column of the Barents Sea occurring due to the use of various satellite ocean color chlorophyll-retrieval algorithms. The estimates of absorbed energy are based on data obtained during field experiments conducted in various parts of the Barents Sea in June-August 2021, as well as on modeling results. A new regional algorithm for evaluation of chlorophyll concentration in the Barents Sea (B22) is presented as a data source. This algorithm provides more accurate estimates compared to the standard MODIS algorithm under conditions of coccolithophore bloom. Comparing of the results of hydro-optical modeling to the data of shipboard hydro-optical measurements made it possible to validate the obtained data and confirmed the correctness of the selected models. Furthermore, we calculate the parameters of underwater light fields and the absorbed thermal energy in the visible spectral range in the seawater column, showing that differences in the chlorophyll concentration due to the accuracy of satellite bio-optical algorithms (30–50%) have little effect on the vertical distribution of solar energy absorbed in the seawater column. Text Barents Sea MDPI Open Access Publishing Barents Sea Remote Sensing 14 19 4995 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
optical characteristics chlorophyll- a concentration ocean color seawater photosynthetically active radiation numerical calculations solar energy absorption Barents Sea |
spellingShingle |
optical characteristics chlorophyll- a concentration ocean color seawater photosynthetically active radiation numerical calculations solar energy absorption Barents Sea Dmitry Glukhovets Sergey Sheberstov Svetlana Vazyulya Anna Yushmanova Pavel Salyuk Inna Sahling Evgeniia Aglova Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea |
topic_facet |
optical characteristics chlorophyll- a concentration ocean color seawater photosynthetically active radiation numerical calculations solar energy absorption Barents Sea |
description |
The aim of this work is to study the influence of errors on the accuracy of estimation of absorbed solar energy in the visible spectral range in the water column of the Barents Sea occurring due to the use of various satellite ocean color chlorophyll-retrieval algorithms. The estimates of absorbed energy are based on data obtained during field experiments conducted in various parts of the Barents Sea in June-August 2021, as well as on modeling results. A new regional algorithm for evaluation of chlorophyll concentration in the Barents Sea (B22) is presented as a data source. This algorithm provides more accurate estimates compared to the standard MODIS algorithm under conditions of coccolithophore bloom. Comparing of the results of hydro-optical modeling to the data of shipboard hydro-optical measurements made it possible to validate the obtained data and confirmed the correctness of the selected models. Furthermore, we calculate the parameters of underwater light fields and the absorbed thermal energy in the visible spectral range in the seawater column, showing that differences in the chlorophyll concentration due to the accuracy of satellite bio-optical algorithms (30–50%) have little effect on the vertical distribution of solar energy absorbed in the seawater column. |
format |
Text |
author |
Dmitry Glukhovets Sergey Sheberstov Svetlana Vazyulya Anna Yushmanova Pavel Salyuk Inna Sahling Evgeniia Aglova |
author_facet |
Dmitry Glukhovets Sergey Sheberstov Svetlana Vazyulya Anna Yushmanova Pavel Salyuk Inna Sahling Evgeniia Aglova |
author_sort |
Dmitry Glukhovets |
title |
Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea |
title_short |
Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea |
title_full |
Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea |
title_fullStr |
Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea |
title_full_unstemmed |
Influence of the Accuracy of Chlorophyll-Retrieval Algorithms on the Estimation of Solar Radiation Absorbed in the Barents Sea |
title_sort |
influence of the accuracy of chlorophyll-retrieval algorithms on the estimation of solar radiation absorbed in the barents sea |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14194995 |
op_coverage |
agris |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
Remote Sensing; Volume 14; Issue 19; Pages: 4995 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs14194995 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14194995 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
19 |
container_start_page |
4995 |
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1774716026115588096 |