Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4481-2023
https://doi.org/10.5194/essd-15-4481-2023
Data description paper
 | 
06 Oct 2023
Data description paper |  | 06 Oct 2023

GOBAI-O2: temporally and spatially resolved fields of ocean interior dissolved oxygen over nearly 2 decades

Jonathan D. Sharp, Andrea J. Fassbender, Brendan R. Carter, Gregory C. Johnson, Cristina Schultz, and John P. Dunne

Data sets

GOBAI-O2: A Global Gridded Monthly Dataset of Ocean Interior Dissolved Oxygen Concentrations Based on Shipboard and Autonomous Observations (NCEI Accession 0259304) Jonathan D. Sharp, Andrea J. Fassbender, Brendan R. Carter, Gregory C. Johnson, C. Schultz, and John P. Dunne https://doi.org/10.25921/z72m-yz67

A MATLAB toolbox for accessing and visualizing Argo data (v1.0.3) Hartmut Frenzel, Jonathan D. Sharp, Andrea J. Fassbender, and Nina Buzby https://doi.org/10.5281/zenodo.7055484

NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP John P. Krasting, Jasmin G. John, Chris Blanton, Colleen McHugh, Serguei Nikonov, Aparna Radhakrishnan, Kristopher Rand, Niki T. Zadeh, V. Balaji, Jeff Durachta, Christopher Dupuis, Raymond Menzel, Thomas Robinson, Seth Underwood, Hans Vahlenkamp, Krista A. Dunne, Paul P. G. Gauthier, Paul Ginoux, Stephen M. Griffies, Robert Hallberg, Matthew Harrison, William Hurlin, Sergey Malyshev, Vaishali Naik, Fabien Paulot, David J. Paynter, Jeffrey Ploshay, Brandon G. Reichl, Daniel M. Schwarzkopf, Charles J. Seman, Levi Silvers, Bruce Wyman, Yujin Zeng, Alistair Adcroft, John P. Dunne, Raphael Dussin, Huan Guo, Jian He, Isaac M. Held, Larry W. Horowitz, Pu Lin, P. C. D. Milly, Elena Shevliakova, Charles Stock, Michael Winton, Andrew T. Wittenberg, Yuanyu Xie, and Ming Zhao https://doi.org/10.22033/ESGF/CMIP6.1407

Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) Argo https://doi.org/10.17882/42182

Global Ocean Data Analysis Project version 2.2022 (GLODAPv2.2022) (NCEI Accession 0257247) S. K. Lauvset, N. Lange, T. Tanhua, H. C. Bittig, A. Olsen, A. Kozyr, S. R. Alin, M. Álvarez, K. Azetsu-Scott, L. Barbero, S. Becker, P. J. Brown, B. R. Carter, L. Cotrim da Cunha, R. A. Feely, M. Hoppema, M. P. Humphreys, M. Ishii, E. Jeansson, L.-Q. Jiang, S. D. Jones, C. Lo Monaco, A. Murata, J. D. Müller, F. F. Pérez, B. Pfeil, C. Schirnick, R. Steinfeldt, T. Suzuki, B. Tilbrook, A. Ulfsbo, A. Velo, R. J. Woosley, and R. M. Key https://doi.org/10.25921/1f4w-0t92

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Short summary
Dissolved oxygen content is a critical metric of ocean health. Recently, expanding fleets of autonomous platforms that measure oxygen in the ocean have produced a wealth of new data. We leverage machine learning to take advantage of this growing global dataset, producing a gridded data product of ocean interior dissolved oxygen at monthly resolution over nearly 2 decades. This work provides novel information for investigations of spatial, seasonal, and interannual variability in ocean oxygen.
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