gov.noaa.nodc:0277099 eng utf8 dataset NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NOAA Contact Information Information for contacts at NCEI. information custodian 2026-05-08T13:12:31Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099) 2023-03-20 publication 2023-08-04 revision 2023-03-20 creation International DOI Foundation (IDF) 10.25921/z31n-3m26 NOAA National Centers for Environmental Information gov.noaa.nodc:0277099 NCEI Archive Management System 0277099 NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information publisher Lydia Keppler Scripps Institution of Oceanography (SIO) lydia.keppler@mpimet.mpg.de https://scripps.ucsd.edu/ HTTPS Scripps Institution of Oceanography (SIO) website Institution web page information resourceProvider Scripps Institution of Oceanography (SIO) https://scripps.ucsd.edu/ HTTPS Scripps Institution of Oceanography (SIO) website Institution web page information resourceProvider Lydia Keppler Scripps Institution of Oceanography (SIO) lydia.keppler@mpimet.mpg.de https://scripps.ucsd.edu/ HTTPS Scripps Institution of Oceanography (SIO) website Institution web page information principalInvestigator Peter Landschützer Flanders Marine Institute (VLIZ) peter.landschuetzer@mpimet.mpg.de http://www.vliz.be HTTP Flanders Marine Institute (VLIZ) website Institution web page information principalInvestigator Siv K. Lauvset NORCE Norwegian Research Centre sivk@norceresearch.no https://www.norceresearch.no/en/ HTTPS NORCE Norwegian Research Centre website Institution web page information principalInvestigator Nicolas Gruber ETH Zurich nicolas.gruber@env.ethz.ch http://www.ethz.ch HTTP ETH Zurich website Institution web page information principalInvestigator Keppler, Lydia Scripps Institution of Oceanography (SIO) https://scripps.ucsd.edu/ HTTPS Scripps Institution of Oceanography (SIO) website Institution web page information author Landschützer, Peter Flanders Marine Institute (VLIZ) http://www.vliz.be HTTP Flanders Marine Institute (VLIZ) website Institution web page information author Lauvset, Siv K. NORCE Norwegian Research Centre https://www.norceresearch.no/en/ HTTPS NORCE Norwegian Research Centre website Institution web page information author Gruber, Nicolas ETH Zurich http://www.ethz.ch HTTP ETH Zurich website Institution web page information author Max Planck Institute for Meteorology - Hamburg (MPI) contributor Bjerknes Centre for Climate Research https://bjerknes.uib.no/ HTTPS Bjerknes Centre for Climate Research website Institution web page information contributor Flanders Marine Institute (VLIZ) http://www.vliz.be HTTP Flanders Marine Institute (VLIZ) website Institution web page information contributor Scripps Institution of Oceanography (SIO) https://scripps.ucsd.edu/ HTTPS Scripps Institution of Oceanography (SIO) website Institution web page information contributor tableDigital 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.). This dataset is available to the public for a wide variety of uses including scientific research and analysis. Funding Information: European Community (Horizon 2020 Project, Grant Agreement no. 821003 (4C)) Funding Information: NSF (Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project, PLR-1425989) Funding Information: NSF (Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project, OPP-1936222) Funding Information: NOAA Funding Information: NASA completed historicalArchive NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information pointOfContact asNeeded NCEI Accession 0277099 was revised and a new version of the archival package was published. Updates to existing archival packages may provide additional files or replace obsolete files. The latest 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. Please see journal.txt in the /about directory for additional details on changes made. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0277099 Preview graphic PNG 0277099 NCEI ACCESSION NUMBER 2023-03-15 publication DISSOLVED INORGANIC CARBON (DIC) JULIAN YEAR - DAY LATITUDE LONGITUDE WATER DEPTH - AVERAGE theme NODC DATA TYPES THESAURUS carbon dioxide (CO2) gas analyzer instrument NODC INSTRUMENT TYPES THESAURUS chemical model output theme NODC OBSERVATION TYPES THESAURUS VARIOUS CHARTERED VESSELS platform NODC PLATFORM NAMES THESAURUS Bjerknes Centre for Climate Research Flanders Marine Institute Max Planck Institute for Meteorology - Hamburg Scripps Institution of Oceanography dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS Scripps Institution of Oceanography dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS US DOC; NOAA; Office of Oceanic and Atmospheric Research; Ocean Acidification Program (OAP) project NODC PROJECT NAMES THESAURUS Arctic Ocean Indian Ocean North Atlantic Ocean North Pacific Ocean South Atlantic Ocean South Pacific Ocean Southern Ocean place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication BE/VLIZ > Flanders Marine Institute, Belgium BJERKNES > Bjerknes Centre for Climate Research MPI-M > Max Planck Institute for Meteorology dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Various project Cruise ID Ocean Carbon and Acidification Data System (OCADS) Project project Ocean Acidification Search Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON theme Global Change Master Directory (GCMD) Science Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Data synthesis product theme OCADS Study Type DIC DIC_err depth juld lat lon theme Provider Variable Abbreviations CO2 ANALYZERS > CO2 ANALYZERS instrument Global Change Master Directory (GCMD) Instrument Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian OCEAN > ARCTIC OCEAN OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN OCEAN > ATLANTIC OCEAN > SOUTH ATLANTIC OCEAN OCEAN > INDIAN OCEAN OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN OCEAN > PACIFIC OCEAN > SOUTH PACIFIC OCEAN OCEAN > SOUTHERN OCEAN place Global Change Master Directory (GCMD) Location Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Arctic Ocean Atlantic Ocean Indian Ocean Pacific Ocean Southern Ocean place Provider Geographic Names accessLevel: public otherRestrictions 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]. 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. otherRestrictions 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. 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. 2020-11-06 publication International DOI Foundation (IDF) https://doi.org/10.25921/yvzj-zx46 NOAA National Centers for Environmental Information gov.noaa.nodc:0221526 https://doi.org/10.25921/yvzj-zx46 HTTPS https://doi.org/10.25921/yvzj-zx46 Related dataset information Keppler, Lydia Max Planck Institute for Meteorology - Hamburg (MPI) author Landschützer, Peter Max Planck Institute for Meteorology - Hamburg (MPI) author Gruber, Nicolas Institute of Biogeochemistry and Pollutant Dynamics (IBP) http://www.ibp.ethz.ch/ HTTP Institute of Biogeochemistry and Pollutant Dynamics (IBP) website Institution web page information author Lauvset, Siv K. University of Bergen author Stemmler, Irene Max Planck Institute for Meteorology - Hamburg (MPI) author NOAA National Centers for Environmental Information (NCEI) publisher tableDigital crossReference project Keppler, L., Landschützer, P., Gruber, N., Lauvset, S. K., & Stemmler, I. (2020). Seasonal Carbon Dynamics in the Near‐Global Ocean. Global Biogeochemical Cycles, 34(12). https://doi.org/10.1029/2020gb006571 2020-12 publication International DOI Foundation (IDF) https://doi.org/10.1029/2020gb006571 https://doi.org/10.1029/2020gb006571 HTTPS https://doi.org/10.1029/2020gb006571 related journal article information Keppler, L. Max‐Planck‐Institute for Meteorology Hamburg Germany author Landschützer, P. International Max Planck Research School on Earth System Modelling Hamburg Germany author Gruber, N. Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics ETH Zurich Zurich Switzerland author Lauvset, S. K. NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research Bergen Norway author Stemmler, I. Max‐Planck‐Institute for Meteorology Hamburg Germany author American Geophysical Union (AGU) publisher documentDigital Global Biogeochemical Cycles 34(12) ISSN 0886-6236, ISSN 1944-9224 crossReference project Keppler, L., Landschützer, P., Lauvset, S. K., & Gruber, N. (2022). Recent trends and variability in the oceanic storage of dissolved inorganic carbon. https://doi.org/10.22541/essoar.167160635.51342340/v1 2022-12-21 publication International DOI Foundation (IDF) https://doi.org/10.22541/essoar.167160635.51342340/v1 https://doi.org/10.22541/essoar.167160635.51342340/v1 HTTPS https://doi.org/10.22541/essoar.167160635.51342340/v1 related resource information Keppler, Lydia Scripps Institution of Oceanography author Landschützer, Peter Flanders Marine Institute (VLIZ) author Lauvset, Siv K NORCE Norwegian Research Centre author Gruber, Nicolas ETH Zürich author Authorea, Inc. publisher documentDigital crossReference project 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 2013-11-29 publication International DOI Foundation (IDF) https://doi.org/10.5194/bg-10-7793-2013 https://doi.org/10.5194/bg-10-7793-2013 HTTPS https://doi.org/10.5194/bg-10-7793-2013 related journal article information Landschützer, P. author Gruber, N. ETH Zürich http://www.ethz.ch HTTP ETH Zurich website Institution web page information author Bakker, D. C. E. University of East Anglia author Schuster, U. author Nakaoka, S. National Institute for Environmental Studies author Payne, M. R. author Sasse, T. P. author Zeng, J. author Copernicus GmbH publisher documentDigital Biogeosciences 10(11) ISSN 1726-4189, pp. 7793-7815 crossReference project NDP-110 2022 publication https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/ndp_110/ndp110.html HTTPS https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/ndp_110/ndp110.html Related resource information NOAA National Centers for Environmental Information (NCEI) publisher documentDigital crossReference project 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. 2023-06-28 publication International DOI Foundation (IDF) https://doi.org/10.25921/ppcf-w020 NOAA National Centers for Environmental Information gov.noaa.nodc:0279447 https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0279447.html HTTPS https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0279447.html Related dataset information Müller, Jens Daniel ETH Zurich http://www.ethz.ch HTTP ETH Zurich website Institution web page information author Gruber, Nicolas ETH Zurich http://www.ethz.ch HTTP ETH Zurich website Institution web page information author Carter, Brendan R. University of Washington Cooperative Institute for Climate, Ocean and Ecosystem Studies (CICOES) https://cicoes.uw.edu/ HTTPS University of Washington Cooperative Institute for Climate, Ocean and Ecosystem Studies (CICOES) website Institution web page information author Feely, Richard A. NOAA Pacific Marine Environmental Laboratory (PMEL) https://www.pmel.noaa.gov/ HTTPS NOAA Pacific Marine Environmental Laboratory (PMEL) website Institution web page information author Ishii, Masao Meteorological Research Institute Japan (MRI) author Lange, Nico GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) nlange@geomar.de http://www.geomar.de/ HTTP GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) website Institution web page information author Lauvset, Siv K. NORCE Norwegian Research Centre https://www.norceresearch.no/en/ HTTPS NORCE Norwegian Research Centre website Institution web page information author Murata, Akihiko Research Institute for Global Change (RIGC) http://www.jamstec.go.jp HTTP Japan Agency for Marine-Earth Science and Technology (JAMSTEC) website Institution web page information author Olsen, Are University of Bergen, Geophysical Institute (GFI) author Pérez, Fiz F. Instituto de Investigacións Mariñas de Vigo (IIM) https://www.iim.csic.es/ HTTPS Instituto de Investigacións Mariñas de Vigo (IIM) website Institution web page information author Sabine, Christopher L. University of Hawaiʻi at Mānoa (UHM) https://manoa.hawaii.edu/ HTTPS University of Hawaiʻi at Mānoa (UHM) website Institution web page information author Tanhua, Toste GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) http://www.geomar.de/ HTTP GEOMAR Helmholtz Centre for Ocean Research Kiel (GEOMAR) website Institution web page information author Wanninkhof, Rik NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) https://www.aoml.noaa.gov/ HTTPS NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) website Institution web page information author Zhu, Donghe ETH Zurich http://www.ethz.ch HTTP ETH Zurich website Institution web page information author NOAA National Centers for Environmental Information (NCEI) publisher tableDigital crossReference project 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 2022-04 publication https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system HTTPS https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system OCADS website information NOAA National Centers for Environmental Information author NOAA National Centers for Environmental Information (NCEI) publisher documentDigital [accessed 2024-02-08] crossReference program eng; USA utf8 environment oceans -179.5 179.5 -89.5 89.5 2004-01-01 2019-12-01 In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number. NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov pointOfContact In most cases, electronic downloads of the data are free. 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Originator data format 2022.628 https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0277099.html HTTPS Web browser Project Metadata Navigate directly to the URL for a descriptive web page with download links. information https://doi.org/10.25921/z31n-3m26 HTTPS Web browser NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/oas/277099 HTTPS Web browser Descriptive Information Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/download/277099 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0211/0277099/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP). download dataset NCEI Accession 0277099 v1.1 was published. 2023-03-20T21:57:58Z NCEI Accession 0277099 v1.1 publication https://www.ncei.noaa.gov/archive/accession/0277099/1.1 HTTPS NCEI Accession 0277099 v1.1 published 2023-03-20T21:57:58Z download NCEI Accession 0277099 was revised and v1.2 was published. 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. 2023-03-21T21:20:53Z NCEI Accession 0277099 v1.2 publication https://www.ncei.noaa.gov/archive/accession/0277099/1.2 HTTPS NCEI Accession 0277099 v1.2 published 2023-03-21T21:20:53Z download NCEI Accession 0277099 was revised and v2.3 was published. 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. 2023-08-04T19:28:52Z NCEI Accession 0277099 v2.3 publication https://www.ncei.noaa.gov/archive/accession/0277099/2.3 HTTPS NCEI Accession 0277099 v2.3 published 2023-08-04T19:28:52Z download dataset 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 asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. NOAA National Centers for Environmental Information custodian carbon dioxide (CO2) gas analyzer carbon dioxide (CO2) gas analyzer measures gaseous carbon dioxide Carbon dioxide gas analyzer has often been referred to as LI-COR, because a lot of researchers choose to use products manufactured by LI-COR incorporation for their carbon dioxide measurement. The main component of a carbon dioxide analyzer is a nondispersive infrared (NDIR) spectroscopic sensors to detect CO2 in a gaseous environment by its characteristic absorption. Carbon dioxide (CO2) gas analyzer works together with carbon dioxide (CO2) equilibrator (insttypes_id 184) to measure carbon dioxide in the water. To measure water carbon dioxide, water needs to be continuously supplied to a showerhead inside an equilibrator. As the water flows through the equilibrator chamber, dissolved carbon dioxide exchanges quickly with air in the headspace. This air is then sampled by the carbon dioxide analyzer to determine the mole fraction of CO2 in water. VARIOUS CHARTERED VESSELS VARIOUS CHARTERED VESSELS