Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal
International audience Improving our ability to monitor ocean carbonate chemistry has become a priority as the ocean continues to absorb carbon dioxide from the atmosphere. This long-term uptake is reducing the ocean pH; a process commonly known as ocean acidification. The use of satellite Earth Obs...
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Online Access: | https://hal.science/hal-04202447 https://doi.org/10.1016/j.rse.2019.111469 |
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ftunivbrest:oai:HAL:hal-04202447v1 2024-04-14T08:17:48+00:00 Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal Land, Peter E. Findlay, Helen S. Shutler, Jamie D. Ashton, Ian Holding, Thomas Grouazel, Antoine Girard-Ardhuin, Fanny Reul, Nicolas Piolle, Jean-Francois Chapron, Bertrand Quilfen, Yves Bellerby, Richard G.J. Bhadury, Punyasloke Salisbury, Joseph Vandemark, Douglas Sabia, Roberto Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) 2019-12 https://hal.science/hal-04202447 https://doi.org/10.1016/j.rse.2019.111469 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2019.111469 hal-04202447 https://hal.science/hal-04202447 doi:10.1016/j.rse.2019.111469 ISSN: 0034-4257 EISSN: 1879-0704 Remote Sensing of Environment https://hal.science/hal-04202447 Remote Sensing of Environment, 2019, 235, 111469 (15p.). ⟨10.1016/j.rse.2019.111469⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2019 ftunivbrest https://doi.org/10.1016/j.rse.2019.111469 2024-03-21T16:22:40Z International audience Improving our ability to monitor ocean carbonate chemistry has become a priority as the ocean continues to absorb carbon dioxide from the atmosphere. This long-term uptake is reducing the ocean pH; a process commonly known as ocean acidification. The use of satellite Earth Observation has not yet been thoroughly explored as an option for routinely observing surface ocean carbonate chemistry, although its potential has been highlighted. We demonstrate the suitability of using empirical algorithms to calculate total alkalinity (AT) and total dissolved inorganic carbon (CT), assessing the relative performance of satellite, interpolated in situ, and climatology datasets in reproducing the wider spatial patterns of these two variables. Both AT and CT in situ data are reproducible, both regionally and globally, using salinity and temperature datasets, with satellite observed salinity from Aquarius and SMOS providing performance comparable to other datasets for the majority of case studies. Global root mean squared difference (RMSD) between in situ validation data and satellite estimates is 17 μmol kg−1 with bias < 5 μmol kg−1 for AT and 30 μmol kg−1 with bias < 10 μmol kg−1 for CT. This analysis demonstrates that satellite sensors provide a credible solution for monitoring surface synoptic scale AT and CT. It also enables the first demonstration of observation-based synoptic scale AT and CT temporal mixing in the Amazon plume for 2010–2016, complete with a robust estimation of their uncertainty. Article in Journal/Newspaper Ocean acidification Université de Bretagne Occidentale: HAL Remote Sensing of Environment 235 111469 |
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Open Polar |
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Université de Bretagne Occidentale: HAL |
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ftunivbrest |
language |
English |
topic |
[SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDU]Sciences of the Universe [physics] Land, Peter E. Findlay, Helen S. Shutler, Jamie D. Ashton, Ian Holding, Thomas Grouazel, Antoine Girard-Ardhuin, Fanny Reul, Nicolas Piolle, Jean-Francois Chapron, Bertrand Quilfen, Yves Bellerby, Richard G.J. Bhadury, Punyasloke Salisbury, Joseph Vandemark, Douglas Sabia, Roberto Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal |
topic_facet |
[SDU]Sciences of the Universe [physics] |
description |
International audience Improving our ability to monitor ocean carbonate chemistry has become a priority as the ocean continues to absorb carbon dioxide from the atmosphere. This long-term uptake is reducing the ocean pH; a process commonly known as ocean acidification. The use of satellite Earth Observation has not yet been thoroughly explored as an option for routinely observing surface ocean carbonate chemistry, although its potential has been highlighted. We demonstrate the suitability of using empirical algorithms to calculate total alkalinity (AT) and total dissolved inorganic carbon (CT), assessing the relative performance of satellite, interpolated in situ, and climatology datasets in reproducing the wider spatial patterns of these two variables. Both AT and CT in situ data are reproducible, both regionally and globally, using salinity and temperature datasets, with satellite observed salinity from Aquarius and SMOS providing performance comparable to other datasets for the majority of case studies. Global root mean squared difference (RMSD) between in situ validation data and satellite estimates is 17 μmol kg−1 with bias < 5 μmol kg−1 for AT and 30 μmol kg−1 with bias < 10 μmol kg−1 for CT. This analysis demonstrates that satellite sensors provide a credible solution for monitoring surface synoptic scale AT and CT. It also enables the first demonstration of observation-based synoptic scale AT and CT temporal mixing in the Amazon plume for 2010–2016, complete with a robust estimation of their uncertainty. |
author2 |
Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Land, Peter E. Findlay, Helen S. Shutler, Jamie D. Ashton, Ian Holding, Thomas Grouazel, Antoine Girard-Ardhuin, Fanny Reul, Nicolas Piolle, Jean-Francois Chapron, Bertrand Quilfen, Yves Bellerby, Richard G.J. Bhadury, Punyasloke Salisbury, Joseph Vandemark, Douglas Sabia, Roberto |
author_facet |
Land, Peter E. Findlay, Helen S. Shutler, Jamie D. Ashton, Ian Holding, Thomas Grouazel, Antoine Girard-Ardhuin, Fanny Reul, Nicolas Piolle, Jean-Francois Chapron, Bertrand Quilfen, Yves Bellerby, Richard G.J. Bhadury, Punyasloke Salisbury, Joseph Vandemark, Douglas Sabia, Roberto |
author_sort |
Land, Peter E. |
title |
Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal |
title_short |
Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal |
title_full |
Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal |
title_fullStr |
Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal |
title_full_unstemmed |
Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal |
title_sort |
optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the greater caribbean, the amazon plume and the bay of bengal |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-04202447 https://doi.org/10.1016/j.rse.2019.111469 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
ISSN: 0034-4257 EISSN: 1879-0704 Remote Sensing of Environment https://hal.science/hal-04202447 Remote Sensing of Environment, 2019, 235, 111469 (15p.). ⟨10.1016/j.rse.2019.111469⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2019.111469 hal-04202447 https://hal.science/hal-04202447 doi:10.1016/j.rse.2019.111469 |
op_doi |
https://doi.org/10.1016/j.rse.2019.111469 |
container_title |
Remote Sensing of Environment |
container_volume |
235 |
container_start_page |
111469 |
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1796317092921737216 |