Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

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)

Metadata Updated: December 1, 2023

This dataset contains 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). The SOM-FFN approach by Landschützer et al. (2013) was extended and applied to obtain time-varying gap-filled mapped fields of dissolved inorganic carbon (DIC) in the water column. In the SOM-FFN approach, 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, a feed-forward network (FFN) is run 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. The SOM-FFN method was adjusted and 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 extended the mapping grid from three dimensions (latitude, longitude, and time), to four (latitude, longitude, time, and depth), and instead of monthly inter-annual fields, we resolved a monthly climatology based on the period from 2004 through 2017. 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, a bootstrapping approach was used, running the SOM-FFN method ten times. The mean across this ensemble was taken as the final DIC field. We defined the standard deviation across the ensemble as the uncertainty within the method, and name it ensemble spread.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date 2023-08-30T13:07:17Z
Metadata Created Date March 12, 2021
Metadata Updated Date December 1, 2023
Reference Date(s) November 6, 2020 (publication)
Frequency Of Update asNeeded

Metadata Source

Harvested from NOAA/NESDIS/ncei/accessions

Graphic Preview

Preview graphic

Additional Metadata

Resource Type Dataset
Metadata Date 2023-08-30T13:07:17Z
Metadata Created Date March 12, 2021
Metadata Updated Date December 1, 2023
Reference Date(s) November 6, 2020 (publication)
Responsible Party (Point of Contact)
Contact Email
Guid gov.noaa.nodc:0221526
Access Constraints Cite as: 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/yvzj-zx46. Accessed [date]., 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.
Bbox East Long 179.5
Bbox North Lat 64.5
Bbox South Lat -64.5
Bbox West Long -179.5
Coupled Resource
Frequency Of Update asNeeded
Graphic Preview Description Preview graphic
Graphic Preview File https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0221526
Graphic Preview Type PNG
Harvest Object Id d2064787-7306-44d7-9fd7-4d24395bff30
Harvest Source Id c084a438-6f6b-470d-93e0-16aeddb9f513
Harvest Source Title NOAA/NESDIS/ncei/accessions
Licence accessLevel: Public
Lineage
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-179.5, -64.5], [179.5, -64.5], [179.5, 64.5], [-179.5, 64.5], [-179.5, -64.5]]]}
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2004-01-01
Temporal Extent End 2017-12-01

Didn't find what you're looking for? Suggest a dataset here.