Articles | Volume 10, issue 1
Earth Syst. Sci. Data, 10, 609–626, 2018
https://doi.org/10.5194/essd-10-609-2018
Earth Syst. Sci. Data, 10, 609–626, 2018
https://doi.org/10.5194/essd-10-609-2018

  27 Mar 2018

27 Mar 2018

The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle

Rebecca Latto and Anastasia Romanou

Related authors

Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP)
James C. Orr, Raymond G. Najjar, Olivier Aumont, Laurent Bopp, John L. Bullister, Gokhan Danabasoglu, Scott C. Doney, John P. Dunne, Jean-Claude Dutay, Heather Graven, Stephen M. Griffies, Jasmin G. John, Fortunat Joos, Ingeborg Levin, Keith Lindsay, Richard J. Matear, Galen A. McKinley, Anne Mouchet, Andreas Oschlies, Anastasia Romanou, Reiner Schlitzer, Alessandro Tagliabue, Toste Tanhua, and Andrew Yool
Geosci. Model Dev., 10, 2169–2199, https://doi.org/10.5194/gmd-10-2169-2017,https://doi.org/10.5194/gmd-10-2169-2017, 2017
Short summary
Inconsistent strategies to spin up models in CMIP5: implications for ocean biogeochemical model performance assessment
Roland Séférian, Marion Gehlen, Laurent Bopp, Laure Resplandy, James C. Orr, Olivier Marti, John P. Dunne, James R. Christian, Scott C. Doney, Tatiana Ilyina, Keith Lindsay, Paul R. Halloran, Christoph Heinze, Joachim Segschneider, Jerry Tjiputra, Olivier Aumont, and Anastasia Romanou
Geosci. Model Dev., 9, 1827–1851, https://doi.org/10.5194/gmd-9-1827-2016,https://doi.org/10.5194/gmd-9-1827-2016, 2016
Short summary
Natural ocean carbon cycle sensitivity to parameterizations of the recycling in a climate model
A. Romanou, J. Romanski, and W. W. Gregg
Biogeosciences, 11, 1137–1154, https://doi.org/10.5194/bg-11-1137-2014,https://doi.org/10.5194/bg-11-1137-2014, 2014

Related subject area

Oceanography – Chemical
Climatological distribution of dissolved inorganic nutrients in the western Mediterranean Sea (1981–2017)
Malek Belgacem, Katrin Schroeder, Alexander Barth, Charles Troupin, Bruno Pavoni, Patrick Raimbault, Nicole Garcia, Mireno Borghini, and Jacopo Chiggiato
Earth Syst. Sci. Data, 13, 5915–5949, https://doi.org/10.5194/essd-13-5915-2021,https://doi.org/10.5194/essd-13-5915-2021, 2021
Short summary
An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Steve D. Jones, Maren K. Karlsen, Claire Lo Monaco, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 13, 5565–5589, https://doi.org/10.5194/essd-13-5565-2021,https://doi.org/10.5194/essd-13-5565-2021, 2021
Short summary
Coastal Ocean Data Analysis Product in North America (CODAP-NA) – an internally consistent data product for discrete inorganic carbon, oxygen, and nutrients on the North American ocean margins
Li-Qing Jiang, Richard A. Feely, Rik Wanninkhof, Dana Greeley, Leticia Barbero, Simone Alin, Brendan R. Carter, Denis Pierrot, Charles Featherstone, James Hooper, Chris Melrose, Natalie Monacci, Jonathan D. Sharp, Shawn Shellito, Yuan-Yuan Xu, Alex Kozyr, Robert H. Byrne, Wei-Jun Cai, Jessica Cross, Gregory C. Johnson, Burke Hales, Chris Langdon, Jeremy Mathis, Joe Salisbury, and David W. Townsend
Earth Syst. Sci. Data, 13, 2777–2799, https://doi.org/10.5194/essd-13-2777-2021,https://doi.org/10.5194/essd-13-2777-2021, 2021
Short summary
Feasibility of reconstructing the summer basin-scale sea surface partial pressure of carbon dioxide from sparse in situ observations over the South China Sea
Guizhi Wang, Samuel S. P. Shen, Yao Chen, Yan Bai, Huan Qin, Zhixuan Wang, Baoshan Chen, Xianghui Guo, and Minhan Dai
Earth Syst. Sci. Data, 13, 1403–1417, https://doi.org/10.5194/essd-13-1403-2021,https://doi.org/10.5194/essd-13-1403-2021, 2021
Short summary
OceanSODA-ETHZ: a global gridded data set of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification
Luke Gregor and Nicolas Gruber
Earth Syst. Sci. Data, 13, 777–808, https://doi.org/10.5194/essd-13-777-2021,https://doi.org/10.5194/essd-13-777-2021, 2021
Short summary

Cited articles

Anderberg, M. R.: Cluster analysis for applications, Academic Press, New York, 1973. 
Arteaga, L., Pahlow, M., and Oschlies, A.: Global monthly sea surface nitrate fields estimated from remotely sensed sea surface temperature, chlorophyll, and modeled mixed layer depth, Geophys. Res. Lett, 42, 1130–1138, https://doi.org/10.1002/2014GL062937, 2015. 
Bankert, R. L. and Solbrig, J. E.: Cluster Analysis of A-Train Data: Approximating the Vertical Cloud Structure of Oceanic Cloud Regimes, J. Appl. Meteorol. Clim., 54, 996–1008, https://doi.org/10.1175/JAMC-D-14-0227.1, 2015. 
Bodas-Salcedo, A., Williams, K. D., Ringer, M. A., Beau, I., Cole, J. N., Dufresne, J., Koshiro, T., Stevens, B., Wang, Z., and Yokohata, T.: Origins of the Solar Radiation Biases over the Southern Ocean in CFMIP2 Models, J. Climate, 27, 41–56, https://doi.org/10.1175/JCLI-D-13-00169.1, 2014 
Boyer, T. P., Antonov, J. I., Baranova, O. K., Coleman, C., Garcia, H. E., Grodsky, A., Johnson, D. R., Locarnini, R. A., Mishonov, A. V., O'Brien, T. D., Paver, C. R., Reagan, J. R., Seidov, D., Smolyar, I. V., and Zweng, M. M.: World Ocean Database 2013, in: NOAA Atlas NESDIS 72, edited by: Levitus, S. and Mishonov, A., Silver Spring, MD, 209 pp., https://doi.org/10.7289/V5NZ85MT, 2013. 
Download
Short summary
It is crucial to study the ocean’s role in the global carbon cycle in order to understand and predict the increasing concentrations of CO2 in the atmosphere, which is regarded as one of the main drivers of global warming. By analyzing the relationship between surface ocean CO2 and temperature, we seek to understand the pathways by which the ocean controls carbon fluctuations in the atmosphere. We employ cluster analysis as a tool for revealing patterns in where and when this relationship occurs.