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Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099)

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This dataset contains Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019. We increase the temporal resolution of the monthly climatology of MOBO-DIC (Keppler et al., 2020a) to resolve fields of DIC from January 2004 through December 2019. MOBO-DIC2004-2019 consists of time-varying, gap-filled mapped fields of DIC on 28 depth levels in the upper 1500 m on a 1°x1° grid, at monthly resolution. The original method for Keppler et al. (2020a) as well as an analysis of the seasonal dynamics of DIC at a global scale can be found in Keppler et al. (2020b). The MOBO-DIC mapping method is an extension and adaptation of the SOM-FFN approach by Landschützer et al. (2013), where the first step is to cluster the ocean into regions of similar physical and biogeochemical properties using self-organizing maps (SOM). In the second step, we run a feed-forward network (FFN) in each SOM-cluster to approximate and apply the statistical relationship between the target data (here: DIC), and better constrained predictor data that are available as mapped global fields. We adapted the SOM-FFN method in several ways compared to the original method by Landschützer et al. (2013), that mapped oceanic surface pCO2. As we map the DIC in the water column, we extend the mapping grid from three dimensions (latitude, longitude, and time), to four (latitude, longitude, time, and depth). As different predictors are available and/or meaningful when mapping DIC in the water column, we also have a different set of predictor data compared to the approach used by Landschützer et al. (2013). To overcome potential biases in the random selection of training and internal validation data, as well as boundary problems associated with the SOM clustering, we use a bootstrapping approach, running the SOM-FFN method 15 times. We use 3 different set-ups for the SOMs and run 5 slightly different FFNs in each of the SOM clusters. We take the mean across this ensemble as our final DIC fields. Due to data availability of the predictors, and different statistical relationships in the upper and deep ocean, we run the method separately for two depth slabs: from the surface to 500m, and from 500m to 1500 m. Thus, there may be small discontinuities at 500 m due to this boundary problem, but they are well within the uncertainties. We calculate the uncertainty based on three components: the prediction uncertainty (the standard deviation across the ensemble, global mean is approx. 7 μmol/kg), the uncertainty associated with the measurements (2.4 μmol/kg), and the uncertainty associated with the representation (16 μmol/kg). We use standard error propagation of these three components to obtain the overall uncertainty of MOBO-DIC2004-2019 (global mean is approximately 18 μmol kg−1). We want to emphasize that the uncertainties in our mapped estimate of DIC are considerably larger than the general uncertainties in direct observations of DIC. Thus, they must be considered in the interpretation of the data. Due to how the mapping method works, MOBO-DIC is most robust when using averages or integrals over large regions. For the full description of the method and its validation, please refer to both the Main Text and the Supporting Information of Keppler et al. (in review.).
  • Cite as: Keppler, Lydia; Landschützer, Peter; Lauvset, Siv K.; Gruber, Nicolas (2023). Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z31n-3m26. Accessed [date].
gov.noaa.nodc:0277099
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Distribution Formats
  • Originator data format
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2004-01-01 to 2019-12-01
Spatial Bounding Box Coordinates
West: -179.5
East: 179.5
South: -89.5
North: 89.5
Spatial Coverage Map
General Documentation
Associated Resources
  • Keppler, Lydia; Landschützer, Peter; Gruber, Nicolas; Lauvset, Siv K.; Stemmler, Irene (2020). Mapped Observation-Based Oceanic Dissolved Inorganic Carbon (DIC), monthly climatology from January to December (based on observations between 2004 and 2017), from the Max-Planck-Institute for Meteorology (MOBO-DIC_MPIM) (NCEI Accession 0221526). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/yvzj-zx46.
  • Keppler, L., Landschützer, P., Gruber, N., Lauvset, S. K., Stemmler, I. (2020b). Seasonal Carbon Dynamics in the Near-Global Ocean. Global Biogeochemical Cycles, 34(12), e2020GB006571. https://doi.org/10.1029/2020GB006571.
  • Keppler, L., Landschützer, P., Lauvset, S. K., Gruber, N. (in review at Global Biogeochemical Cycles). Recent trends and variability in the oceanic storage of dissolved inorganic carbon. https://10.22541/essoar.167160635.51342340/v1.
  • Landschützer, P., Gruber, N., Bakker, D. C. E., Schuster, U., Nakaoka, S., Payne, M. R., Sasse, T. P., Zeng, J. (2013). A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink. Biogeosciences, 10(11), 7793–7815. https://doi.org/10.5194/bg-10-7793-2013.
  • NDP-110
  • Müller, Jens Daniel; Gruber, Nicolas; Carter, Brendan R.; Feely, Richard A.; Ishii, Masao; Lange, Nico; Lauvset, Siv K.; Murata, Akihiko; Olsen, Are; Pérez, Fiz F.; Sabine, Christopher L.; Tanhua, Toste; Wanninkhof, Rik; Zhu, Donghe (2023). Decadal Trends in the Oceanic Storage of Anthropogenic Carbon from 1994 to 2014 (NCEI Accession 0279447). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/ppcf-w020.
  • NOAA National Centers for Environmental Information (2022). Ocean Carbon and Acidification Data System (OCADS). NOAA National Centers for Environmental Information. https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system
Publication Dates
  • publication: 2023-03-20
  • revision: 2023-08-04
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number.
Purpose This dataset is available to the public for a wide variety of uses including scientific research and analysis.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Keppler, Lydia; Landschützer, Peter; Lauvset, Siv K.; Gruber, Nicolas (2023). Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z31n-3m26. Accessed [date].
Cited Authors
Principal Investigators
Contributors
Resource Providers
Publishers
Acknowledgments
  • Funding Information: The research leading to these results has received funding from the European Community's Horizon 2020 Project under grant agreement no. 821003 (4C). This work was also sponsored by NSF’s Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project under the NSF Awards PLR-1425989 and OPP-1936222, with additional support from NOAA and NASA.
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords OCADS Study Type
  • Data synthesis product
Provider Variable Abbreviations
  • DIC
  • DIC_err
  • depth
  • juld
  • lat
  • lon
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Platform keywords NODC PLATFORM NAMES THESAURUS
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords Provider Geographic Names
  • Arctic Ocean
  • Atlantic Ocean
  • Indian Ocean
  • Pacific Ocean
  • Southern Ocean
Project keywords NODC PROJECT NAMES THESAURUS Cruise ID
  • Various
EXPOCODE
  • Various
Ocean Acidification Search Keywords
  • Ocean Carbon and Acidification Data System (OCADS) Project
Reference Section ID
  • Various
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Keppler, Lydia; Landschützer, Peter; Lauvset, Siv K.; Gruber, Nicolas (2023). Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z31n-3m26. Accessed [date].
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2023-03-20T21:57:58Z - NCEI Accession 0277099 v1.1 was published.
  • 2023-03-21T21:20:53Z - NCEI Accession 0277099 was revised and v1.2 was published.
    Rationale: Additional metadata files were received or created for this dataset. These updates were copied into the about/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
  • 2023-08-04T19:28:52Z - NCEI Accession 0277099 was revised and v2.3 was published.
    Rationale: Updates were received for this dataset. These updates were copied into the data/0-data/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Dissolved inorganic carbon (DIC in µmol kg-1, on the grid: lon, lat, depth, month); Abbreviation: DIC; Unit: µmol kg-1.
  • Parameter or Variable: DIC uncertainty (DIC_err in µmol kg-1, on the grid: lon, lat, depth, month; Abbreviation: DIC_err; Unit: µmol kg-1.
  • Parameter or Variable: Longitude (lon; 179.5°W to 179.5°E, at 1° resolution); Abbreviation: lon; Unit: degrees_east.
  • Parameter or Variable: Latitude (lat; 89.5°N to 89.5°S, at 1° resolution); Abbreviation: lat; Unit: degrees_north.
  • Parameter or Variable: Depth (depth; from 2.5 m to 1975 m, on 33 depth levels); Abbreviation: depth; Unit: meters.
  • Parameter or Variable: Julian Day (from January 2004 to January 2020 at monthly resolution); Abbreviation: juld .
Acquisition Information (collection)
Instrument
  • carbon dioxide (CO2) gas analyzer
Platform
  • VARIOUS CHARTERED VESSELS
Last Modified: 2024-03-27T18:09:35Z
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