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A global monthly climatology of total alkalinity (AT): a neural network approach (NCEI Accession 0222470)

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This dataset contains global monthly climatology of oceanic total alkalinity (AT). Total alkalinity (AT) monthly climatology was created from a neural network approach (Broullón et al., 2019). The neural network was trained with GLODAPv2.2019 data (Olsen et al., 2019) using as predictor variables position (latitude, longitude and depth), temperature, salinity, phosphate, nitrate, silicate and dissolved oxygen. The relations extracted between these predictor variables and AT were used to obtain the climatology passing through the network global monthly climatologies of the predictor variables: temperature and salinity fields of the World Ocean Atlas version 2013 (WOA13), filtered WOA13 oxygen (fifth-order one-dimensional median filter through the depth dimension; see Broullón et al., 2019 for details) and nutrients computed using CANYON-B (Bittig et al., 2018) over the three previous fields. The obtained climatology has a 1ºx1º spatial resolution and 102 depth levels between 0 and 5500 m, with a monthly resolution from 0 to 1500 m and an annual resolution from 1550 to 5500m.
  • Cite as: Broullón, Daniel; Pérez, Fiz F.; Velo, Antón; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; Tanhua, Toste; González-Dávila, Melchor; Jeansson, Emil; Kozyr, Alex; van Heuven, Steven M. A. C. (2020). A global monthly climatology of total alkalinity (AT): a neural network approach (NCEI Accession 0222470). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/5p69-y471. Accessed [date].
gov.noaa.nodc:0222470
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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 1957-01-01 to 2018-12-31
Spatial Bounding Box Coordinates
West: -179.5
East: 179.5
South: -77.5
North: 89.5
Spatial Coverage Map
General Documentation
Associated Resources
  • Broullón, D., Pérez, F. F., Velo, A., Hoppema, M., Olsen, A., Takahashi, T., Key, R. M., Tanhua, T., González-Dávila, M., Jeansson, E., Kozyr, A., and van Heuven, S. M. A. C.: A global monthly climatology of total alkalinity: a neural network approach, Earth Syst. Sci. Data, 11, 1109-1127, https://doi.org/10.5194/essd-11-1109-2019, 2019.
  • Bittig, H. C., Steinhoff, T., Claustre, H., Fiedler, B., Williams, N. L., Sauzède, R., Körtzinger, A., and Gattuso, J.-P.: An alternative to static climatologies: robust estimation of open ocean CO2 variables and nutrient concentrations from T, S, and O2 data using Bayesian neural networks, Front. Mar. Sci., 5, 328, https://doi.org/10.3389/fmars.2018.00328, 2018.
  • Broullón, D., Pérez, F. F., Velo, A., Hoppema, M., Olsen, A., Takahashi, T., Key, R. M., Tanhua, T., González-Dávila, M., Jeansson, E., Kozyr, A., and van Heuven, S. M. A. C.: A global monthly climatology of total alkalinity: a neural network approach, Earth Syst. Sci. Data, 11, 1109-1127, https://doi.org/10.5194/essd-11-1109-2019, 2019.
  • Olsen, A., Lange, N., Key, R. M., Tanhua, T., Álvarez, M., Becker, S., Bittig, H. C., Carter, B. R., Cotrim da Cunha, L., Feely, R. A., van Heuven, S., Hoppema, M., Ishii, M., Jeansson, E., Jones, S. D., Jutterström, S., Karlsen, M. K., Kozyr, A., Lauvset, S. K., Lo Monaco, C., Murata, A., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Telszewski, M., Tilbrook, B., Velo, A., and Wanninkhof, R.: GLODAPv2.2019 - an update of GLODAPv2, Earth Syst. Sci. Data, 11, 1437-1461, https://doi.org/10.5194/essd-11-1437-2019, 2019.
  • NDP-106
  • 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: 2020-12-01
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
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: Broullón, Daniel; Pérez, Fiz F.; Velo, Antón; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; Tanhua, Toste; González-Dávila, Melchor; Jeansson, Emil; Kozyr, Alex; van Heuven, Steven M. A. C. (2020). A global monthly climatology of total alkalinity (AT): a neural network approach (NCEI Accession 0222470). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/5p69-y471. Accessed [date].
Cited Authors
Principal Investigators
Contributors
Resource Providers
Publishers
Acknowledgments
  • Funding Information: European Community ())
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
  • AT_NNGv2
  • depth
  • latitude
  • longitude
  • nitrate
  • oxygen
  • phosphate
  • silicate
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS
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
Global Change Master Directory (GCMD) Project Keywords Ocean Acidification Search Keywords
  • Ocean Carbon and Acidification Data System (OCADS) Project
Reference Section ID
  • Various
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Broullón, Daniel; Pérez, Fiz F.; Velo, Antón; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; Tanhua, Toste; González-Dávila, Melchor; Jeansson, Emil; Kozyr, Alex; van Heuven, Steven M. A. C. (2020). A global monthly climatology of total alkalinity (AT): a neural network approach (NCEI Accession 0222470). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/5p69-y471. 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
  • 2020-12-01T23:05:40Z - NCEI Accession 0222470 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: latitude in degrees north (-77.5:89.5 with 1º resolution); Abbreviation: latitude; Unit: degrees_north.
  • Parameter or Variable: longitude in degrees east (-179.5:179.5 with 1º resolution); Abbreviation: longitude; Unit: degrees_east.
  • Parameter or Variable: depth in meters (0 - 5500m with 102 depth levels of WOA13); Abbreviation: depth; Unit: meters.
  • Parameter or Variable: AT in µmol kg-1 (dimensions: longitude, latitude, depth, time); Abbreviation: AT_NNGv2; Unit: µmol kg-1.
  • Parameter or Variable: phosphate in µmol kg-1 (dimensions: longitude, latitude, depth, time); Abbreviation: phosphate; Unit: µmol kg-1.
  • Parameter or Variable: nitrate in µmol kg-1 (dimensions: longitude, latitude, depth, time); Abbreviation: nitrate; Unit: µmol kg-1.
  • Parameter or Variable: silicate in µmol kg-1 (dimensions: longitude, latitude, depth, time); Abbreviation: silicate; Unit: µmol kg-1.
  • Parameter or Variable: dissolved oxygen in µmol kg-1 (dimensions: longitude, latitude, depth, time); Abbreviation: oxygen; Unit: µmol kg-1 .
Acquisition Information (collection)
Instrument
  • nutrient autoanalyzer
  • oxygen sensor
  • titrator
Platform
  • VARIOUS CHARTERED VESSELS
Last Modified: 2024-03-25T12:34:13Z
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