Global surface-ocean partial pressure of carbon dioxide (pCO2) estimates from a machine learning ensemble: CSIR-ML6 v2019a (NCEI Accession 0206205)
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title: Global surface-ocean partial pressure of carbon dioxide (pCO2) estimates from a machine learning ensemble: CSIR-ML6 v2019a (NCEI Accession 0206205)
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abstract: This dataset contains surface-ocean partial pressure of carbon dioxide (pCO2) that the ensemble mean of six two-step clustering-regression machine learning methods. The ensemble is a combination of two clustering approaches and three regression methods. For the clustering approaches, we use K-means clustering (21 clusters) and open ocean CO2 biomes as defined by Fay and McKinley (2014). Three machine learning regression methods are applied to each of these two clustering methods. These machine learning methods are feed-forward neural-network (FFN), support vector regression (SVR) and gradient boosted machine using decision trees (GBM). The final estimate of surface ocean pCO2 is the average of the six machine learning estimates resulting in a monthly by 1° ⨉ 1° resolution product that extends from the start of 1982 to the end of 2016. Sea-air fluxes (FCO2) calculated from pCO2 are also presented in the data. The discrete boundaries of the clustering approach result in semi-discrete discontinuities in pCO2 and fCO2 estimates. These are smoothed by applying a 3 ⨉ 3 ⨉ 3 convolution (moving average) to the dataset in time, latitude and longitude.
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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title: Global surface-ocean pCO2 estimates from a machine learning ensemble: CSIR-ML6 v2019a
date: (CI_Date)
date: 2022
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
positionName: (unknown)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/ndp_101/ndp101.html
protocol: HTTPS
name: https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/ndp_101/ndp101.html
description: related resource
function: (CI_OnLineFunctionCode) information
role: (unknown)
citedResponsibleParty: (CI_ResponsibleParty)
organisationName:
Anchor: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 US DOC; NOAA; NESDIS; National Centers for Environmental Information (NCEI)
role: (CI_RoleCode) publisher
presentationForm: (CI_PresentationFormCode) documentDigital
associationType: (DS_AssociationTypeCode) crossReference
initiativeType: (DS_InitiativeTypeCode) project
aggregationInfo: (MD_AggregateInformation)
aggregateDataSetName: (CI_Citation)
title: 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
date: (CI_Date)
date: 2022-04
dateType: (CI_DateTypeCode) publication
citedResponsibleParty: (CI_ResponsibleParty)
positionName: (unknown)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system
protocol: HTTPS
name: https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system
description: OCADS website
function: (CI_OnLineFunctionCode) information
role: (unknown)
citedResponsibleParty: (CI_ResponsibleParty)
organisationName:
Anchor: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
role: (CI_RoleCode) author
citedResponsibleParty: (CI_ResponsibleParty)
organisationName:
Anchor: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 US DOC; NOAA; NESDIS; National Centers for Environmental Information (NCEI)
role: (CI_RoleCode) publisher
presentationForm: (CI_PresentationFormCode) documentDigital
otherCitationDetails: [accessed 2024-02-08]
associationType: (DS_AssociationTypeCode) crossReference
initiativeType: (DS_InitiativeTypeCode) program
language:
LanguageCode: eng; USA
characterSet: (MD_CharacterSetCode) utf8
topicCategory: (MD_TopicCategoryCode) environment
topicCategory: (MD_TopicCategoryCode) oceans
topicCategory: (MD_TopicCategoryCode) climatologyMeteorologyAtmosphere
extent: (EX_Extent)
geographicElement: (EX_GeographicBoundingBox)
westBoundLongitude: -180
eastBoundLongitude: 180
southBoundLatitude: -89.5
northBoundLatitude: 89.5
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 1982-01-01
endPosition: 2016-12-31
supplementalInformation: (missing)
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distributionInfo: (MD_Distribution)
distributor: (MD_Distributor)
distributorContact: (CI_ResponsibleParty)
organisationName:
Anchor: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
contactInfo: (CI_Contact)
phone: (CI_Telephone)
voice: +1-301-713-3277
address: (CI_Address)
electronicMailAddress: NCEI.Info@noaa.gov
role: (CI_RoleCode) pointOfContact
distributionOrderProcess: (MD_StandardOrderProcess)
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.
orderingInstructions: Contact NCEI for other distribution options and instructions.
distributorFormat: (MD_Format)
name: Originator data format
version: (unknown)
distributorTransferOptions: (MD_DigitalTransferOptions)
transferSize:
Real: 551.804
onLine: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0206205.html
protocol: HTTPS
applicationProfile: Web browser
name: Project Metadata
description: Navigate directly to the URL for a descriptive web page with download links.
function: (CI_OnLineFunctionCode) information
onLine: (CI_OnlineResource)
linkage: https://doi.org/10.25921/z682-mn47
protocol: HTTPS
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/206205
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/206205
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/arc0148/0206205/
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 0206205 v1.1 was published.
dateTime:
DateTime: 2019-11-05T19:14:30Z
output: (LE_Source)
sourceCitation: (CI_Citation)
title: NCEI Accession 0206205 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/0206205/1.1
protocol: HTTPS
name: NCEI Accession 0206205 v1.1
description: published 2019-11-05T19:14:30Z
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: Time; Abbreviation: Time; Unit: seconds since 2000-01-01; Detailed sampling and analyzing information: min = 1982-01-15; max = 2016-12-15; step = month.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Latitude; Abbreviation: lat (180); Unit: degrees_north; Detailed sampling and analyzing information: min = -89.5; max = 89.5; step = 1.0.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Latitude; Abbreviation: lon (360); Unit: degrees_east; Detailed sampling and analyzing information: min = -180; max = 180; step = 1.0.
processStep: (LE_ProcessStep)
description: Parameter or Variable: partial pressure of surface ocean CO2 raw; Abbreviation: pCO2sea_raw (time, lat, lon); Unit: µatm; Detailed sampling and analyzing information: The ensemble mean of six machine learning methods that first cluster data and then apply regression to the clusters.
processStep: (LE_ProcessStep)
description: Parameter or Variable: smoothed partial pressure of surface ocean CO2; Abbreviation: pCO2sea_smooth (time, lat, lon); Unit: µatm; Detailed sampling and analyzing information: The discrete boundaries of the clustering approach result in semi-discrete discontinuities in pCO2 and FCO2 estimates. These are smoothed by applying a 3 ⨉ 3 ⨉ 3 convolution (moving average) to the dataset in time, latitude and longitude..
processStep: (LE_ProcessStep)
description: Parameter or Variable: sea-air CO2 flux; Abbreviation: FCO2_raw (time, lat, lon); Unit: molC/m2/yr; Detailed sampling and analyzing information: sea-air CO2 flux calculated after Landschutzer et al (2016) as the product of the following: (pCO_2^sea-pCO_2^air) where positive values are outgassing from sea to air; the Wanninkhof (1992) parameterisation of k_w scaled globally to 16 cm/hr with wind from ERA-interim (Dee et al, 2011); K_0 from Weiss (1974) using the OISSTv2 sea surface temperature product (Reynolds et al. 2007) and EN4 sea salinity (Good et al. 2013); (1 - ice_frac) as described in Butterworth and Miller (2016)..
processStep: (LE_ProcessStep)
description: Parameter or Variable: smoothed sea-air CO2 flux; Abbreviation: FCO2_smooth (time, lat, lon); Unit: mol/m2/a; Detailed sampling and analyzing information: The discrete boundaries of the clustering approach result in semi-discrete discontinuities in pCO2 and FCO2 estimates. These are smoothed by applying a 3 ⨉ 3 ⨉ 3 convolution (moving average) to the dataset in time, latitude and longitude..
processStep: (LE_ProcessStep)
description: Parameter or Variable: partial pressure of atmospheric CO2; Abbreviation: pCO2air (time, lat, lon); Unit: µatm; Detailed sampling and analyzing information: Atmospheric pCO2 from CarboScope v1.7 (Rodenbeck et al 2014) source = http://www.bgc-jena.mpg.de/CarboScope/.
processStep: (LE_ProcessStep)
description: Parameter or Variable: boolean mask where True is ocean and False is land or NULL; Abbreviation: seamask (lat, lon); Detailed sampling and analyzing information: source - https://www.ncei.noaa.gov/access/ocean-carbon-data-system/oceans/SPCO2_1982_present_ETH_SOM_FFN.html .
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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.
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: showerhead equilibrator
type: showerhead equilibrator
description: extracts dissolved CO2 from water A carbon dioxide equilibrator is usually in the shape of a vertical tube, with a showerhead on the top, some headspace, a lot of beads to increase the surface exchange area between water and air, a water seal device at the bottom to allow water to overflow, but prevents air exchange between inside and outside. Carbon dioxide (CO2) equilibrator works together with carbon dioxide (CO2) gas analyzer (insttypes_id 183) 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)
