The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle
In this paper, we present a database of the basic regimes of the carbon cycle in the ocean, the <q>ocean carbon states</q>, as obtained using a data mining/pattern recognition technique in observation-based as well as model data. The goal of this study is to establish a new data analysis...
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ftdoajarticles:oai:doaj.org/article:245249aaf90c4bcabb6d12b0cd603d5e 2023-05-15T13:48:16+02:00 The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle R. Latto A. Romanou 2018-03-01T00:00:00Z https://doi.org/10.5194/essd-10-609-2018 https://doaj.org/article/245249aaf90c4bcabb6d12b0cd603d5e EN eng Copernicus Publications https://www.earth-syst-sci-data.net/10/609/2018/essd-10-609-2018.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-10-609-2018 1866-3508 1866-3516 https://doaj.org/article/245249aaf90c4bcabb6d12b0cd603d5e Earth System Science Data, Vol 10, Pp 609-626 (2018) Environmental sciences GE1-350 Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.5194/essd-10-609-2018 2022-12-31T04:56:03Z In this paper, we present a database of the basic regimes of the carbon cycle in the ocean, the <q>ocean carbon states</q>, as obtained using a data mining/pattern recognition technique in observation-based as well as model data. The goal of this study is to establish a new data analysis methodology, test it and assess its utility in providing more insights into the regional and temporal variability of the marine carbon cycle. This is important as advanced data mining techniques are becoming widely used in climate and Earth sciences and in particular in studies of the global carbon cycle, where the interaction of physical and biogeochemical drivers confounds our ability to accurately describe, understand, and predict CO 2 concentrations and their changes in the major planetary carbon reservoirs. In this proof-of-concept study, we focus on using well-understood data that are based on observations, as well as model results from the NASA Goddard Institute for Space Studies (GISS) climate model. Our analysis shows that ocean carbon states are associated with the subtropical–subpolar gyre during the colder months of the year and the tropics during the warmer season in the North Atlantic basin. Conversely, in the Southern Ocean, the ocean carbon states can be associated with the subtropical and Antarctic convergence zones in the warmer season and the coastal Antarctic divergence zone in the colder season. With respect to model evaluation, we find that the GISS model reproduces the cold and warm season regimes more skillfully in the North Atlantic than in the Southern Ocean and matches the observed seasonality better than the spatial distribution of the regimes. Finally, the ocean carbon states provide useful information in the model error attribution. Model air–sea CO 2 flux biases in the North Atlantic stem from wind speed and salinity biases in the subpolar region and nutrient and wind speed biases in the subtropics and tropics. Nutrient biases are shown to be most important in the Southern Ocean flux ... Article in Journal/Newspaper Antarc* Antarctic North Atlantic Southern Ocean Directory of Open Access Journals: DOAJ Articles Antarctic Southern Ocean Earth System Science Data 10 1 609 626 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 R. Latto A. Romanou The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
In this paper, we present a database of the basic regimes of the carbon cycle in the ocean, the <q>ocean carbon states</q>, as obtained using a data mining/pattern recognition technique in observation-based as well as model data. The goal of this study is to establish a new data analysis methodology, test it and assess its utility in providing more insights into the regional and temporal variability of the marine carbon cycle. This is important as advanced data mining techniques are becoming widely used in climate and Earth sciences and in particular in studies of the global carbon cycle, where the interaction of physical and biogeochemical drivers confounds our ability to accurately describe, understand, and predict CO 2 concentrations and their changes in the major planetary carbon reservoirs. In this proof-of-concept study, we focus on using well-understood data that are based on observations, as well as model results from the NASA Goddard Institute for Space Studies (GISS) climate model. Our analysis shows that ocean carbon states are associated with the subtropical–subpolar gyre during the colder months of the year and the tropics during the warmer season in the North Atlantic basin. Conversely, in the Southern Ocean, the ocean carbon states can be associated with the subtropical and Antarctic convergence zones in the warmer season and the coastal Antarctic divergence zone in the colder season. With respect to model evaluation, we find that the GISS model reproduces the cold and warm season regimes more skillfully in the North Atlantic than in the Southern Ocean and matches the observed seasonality better than the spatial distribution of the regimes. Finally, the ocean carbon states provide useful information in the model error attribution. Model air–sea CO 2 flux biases in the North Atlantic stem from wind speed and salinity biases in the subpolar region and nutrient and wind speed biases in the subtropics and tropics. Nutrient biases are shown to be most important in the Southern Ocean flux ... |
format |
Article in Journal/Newspaper |
author |
R. Latto A. Romanou |
author_facet |
R. Latto A. Romanou |
author_sort |
R. Latto |
title |
The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
title_short |
The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
title_full |
The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
title_fullStr |
The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
title_full_unstemmed |
The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
title_sort |
ocean carbon states database: a proof-of-concept application of cluster analysis in the ocean carbon cycle |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/essd-10-609-2018 https://doaj.org/article/245249aaf90c4bcabb6d12b0cd603d5e |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic North Atlantic Southern Ocean |
genre_facet |
Antarc* Antarctic North Atlantic Southern Ocean |
op_source |
Earth System Science Data, Vol 10, Pp 609-626 (2018) |
op_relation |
https://www.earth-syst-sci-data.net/10/609/2018/essd-10-609-2018.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-10-609-2018 1866-3508 1866-3516 https://doaj.org/article/245249aaf90c4bcabb6d12b0cd603d5e |
op_doi |
https://doi.org/10.5194/essd-10-609-2018 |
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Earth System Science Data |
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10 |
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1 |
container_start_page |
609 |
op_container_end_page |
626 |
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