Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099)
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title: Mapped Observation-Based Oceanic Dissolved Inorganic Carbon Monthly fields from 2004 through 2019 (MOBO-DIC2004-2019) (NCEI Accession 0277099)
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abstract: 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.).
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
credit: Funding Information: European Community (Horizon 2020 Project, Grant Agreement no. 821003 (4C))
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Anchor: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1425989 Funding Information: NSF (Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project, PLR-1425989)
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Anchor: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936222 Funding Information: NSF (Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project, OPP-1936222)
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Anchor: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936222 Funding Information: NOAA
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Anchor: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936222 Funding Information: NASA
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applicationProfile: Web browser
name: NCEI Dataset Landing Page
description: Navigate directly to the URL for a descriptive web page with download links.
function: (CI_OnLineFunctionCode) information
onLine: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/oas/277099
protocol: HTTPS
applicationProfile: Web browser
name: Descriptive Information
description: Navigate directly to the URL for a descriptive web page with download links.
function: (CI_OnLineFunctionCode) information
onLine: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/download/277099
protocol: HTTPS
applicationProfile: Web browser
name: HTTPS
description: Navigate directly to the URL for data access and direct download.
function: (CI_OnLineFunctionCode) download
onLine: (CI_OnlineResource)
linkage: ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0211/0277099/
protocol: FTP
applicationProfile: Any FTP client
name: FTP
description: 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).
function: (CI_OnLineFunctionCode) download
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
description: NCEI Accession 0277099 v1.1 was published.
dateTime:
DateTime: 2023-03-20T21:57:58Z
output: (LE_Source)
sourceCitation: (CI_Citation)
title: NCEI Accession 0277099 v1.1
date: (CI_Date)
date: (inapplicable)
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
individualName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/0277099/1.1
protocol: HTTPS
name: NCEI Accession 0277099 v1.1
description: published 2023-03-20T21:57:58Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
processStep: (LE_ProcessStep)
description: 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.
dateTime:
DateTime: 2023-03-21T21:20:53Z
output: (LE_Source)
sourceCitation: (CI_Citation)
title: NCEI Accession 0277099 v1.2
date: (CI_Date)
date: (inapplicable)
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
individualName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/0277099/1.2
protocol: HTTPS
name: NCEI Accession 0277099 v1.2
description: published 2023-03-21T21:20:53Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
processStep: (LE_ProcessStep)
description: 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.
dateTime:
DateTime: 2023-08-04T19:28:52Z
output: (LE_Source)
sourceCitation: (CI_Citation)
title: NCEI Accession 0277099 v2.3
date: (CI_Date)
date: (inapplicable)
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
individualName: (inapplicable)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/0277099/2.3
protocol: HTTPS
name: NCEI Accession 0277099 v2.3
description: published 2023-08-04T19:28:52Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
description: Parameter or Variable: Dissolved inorganic carbon (DIC in µmol kg-1, on the grid: lon, lat, depth, month); Abbreviation: DIC; Unit: µmol kg-1.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Longitude (lon; 179.5°W to 179.5°E, at 1° resolution); Abbreviation: lon; Unit: degrees_east.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Latitude (lat; 89.5°N to 89.5°S, at 1° resolution); Abbreviation: lat; Unit: degrees_north.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Depth (depth; from 2.5 m to 1975 m, on 33 depth levels); Abbreviation: depth; Unit: meters.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Julian Day (from January 2004 to January 2020 at monthly resolution); Abbreviation: juld .
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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
maintenanceNote: 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.
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) custodian
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acquisitionInformation: (MI_AcquisitionInformation)
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: carbon dioxide (CO2) gas analyzer
type: carbon dioxide (CO2) gas analyzer
description: 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.
platform: (MI_Platform)
identifier: (MD_Identifier)
code: VARIOUS CHARTERED VESSELS
description: VARIOUS CHARTERED VESSELS
instrument: (missing)
