You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
A new global interior ocean mapped climatology: the 1° × 1° GLODAP version 2
A new global interior ocean mapped climatology: the 1° × 1° GLODAP version 2
We present a mapped climatology (GLODAPv2.2016b) of ocean biogeochemical variables based on the new GLODAP version 2 data product (Olsen et al., 2016; Key et al., 2015), which covers all ocean basins over the years 1972 to 2013. The quality-controlled and internally consistent GLODAPv2 was used to create global 1° × 1° mapped climatologies of salinity, temperature, oxygen, nitrate, phosphate, silicate, total dissolved inorganic carbon (TCO2), total alkalinity (TAlk), pH, and CaCO3 saturation states using the Data-Interpolating Variational Analysis (DIVA) mapping method. Improving on maps based on an earlier but similar dataset, GLODAPv1.1, this climatology also covers the Arctic Ocean. Climatologies were created for 33 standard depth surfaces. The conceivably confounding temporal trends in TCO2 and pH due to anthropogenic influence were removed prior to mapping by normalizing these data to the year 2002 using first-order calculations of anthropogenic carbon accumulation rates. We additionally provide maps of accumulated anthropogenic carbon in the year 2002 and of preindustrial TCO2. For all parameters, all data from the full 1972–2013 period were used, including data that did not receive full secondary quality control. The GLODAPv2.2016b global 1° × 1° mapped climatologies, including error fields and ancillary information, are available at the GLODAPv2 web page at the Carbon Dioxide Information Analysis Center (CDIAC; doi:10.3334/CDIAC/OTG.NDP093_GLODAPv2).
- Helmholtz Association of German Research Centres Germany
- Atmospheric and Oceanic Sciences Princeton University United States
- UNI RESEARCH AS Norway
- Scientific Committee On Oceanic Research United States
- Japan Meteorological Agency Japan
Physical, chemical, mathematical & earth Sciences, Physique, chimie, mathématiques & sciences de la terre, Glodap, Earth sciences & physical geography, DIVA, interpolation, Sciences de la terre & géographie physique
Physical, chemical, mathematical & earth Sciences, Physique, chimie, mathématiques & sciences de la terre, Glodap, Earth sciences & physical geography, DIVA, interpolation, Sciences de la terre & géographie physique
3214
Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W.-J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., de Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, M., Huang, W.-J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A. M., Ono, T., Park, G.-H., Paterson, K., Pierrot, D., Ríos, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Sieger, R., Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., and Watson, A. J.: An update to the Surface Ocean CO2 Atlas (SOCAT version 2), Earth Syst. Sci. Data, 6, 69-90, doi:10.5194/essd-6-69-2014, 2014.
Beckers, J.-M., Barth, A., Troupin, C., and Alvera-Azcárate, A.: Approximate and Efficient Methods to Assess Error Fields in Spatial Gridding with Data Interpolating Variational Analysis (DIVA), J. Atmos. Ocean. Tech., 31, 515-530, doi:10.1175/JTECH-D-13-00130.1, 2014.
Bopp, L., Resplandy, L., Orr, J. C., Doney, S. C., Dunne, J. P., Gehlen, M., Halloran, P., Heinze, C., Ilyina, T., Séférian, R., Tjiputra, J., and Vichi, M.: Multiple stressors of ocean ecosystems in the 21st century: projections with CMIP5 models, Biogeosciences, 10, 6225-6245, doi:10.5194/bg-10-6225-2013, 2013.
Dickson, A.: Standard potential of the reaction: AgCl (s) C 1/2H2(g) D Ag (s) C HCl (aq), and the standard acidity constant of the ion HSO 4 in synthetic sea water from 273.15 to 318.15 K, J. Chem. Thermodyn., 22, 113-127, doi:10.1016/0021- 9614(90)90074-z, 1990.
Feely, R., Talley, L., Bullister, J. L., Carlson, C. A., Doney, S., Fine, R. A., Firing, E., Gruber, N., Hansell, D. A., Johnson, G. C., Key, R., Langdon, C., Macdonald, A., Mathis, J., Mecking, S., Millero, F. J., Mordy, C., Sabine, C., Smethie, W. M., Swift, J. H., Thurnherr, A. M., Wanninkhof, R., and Warner, M.: The US Repeat Hydrography CO2/Tracer Program (GO-SHIP): Accomplishments from the first decadal survey, US CLIVAR and OCB Report 2014-5, US CLIVAR Project Office, 47 pp., 2014.
Garcia, H. E., Locarnini, R. A., Boyer, T. P., Antonov, J. I., Zweng, M. M., Baranova, O. K., and Johnson, D. R.: World Ocean Atlas 2009, Volume 4: Nutrients (phosphate, nitrate, silicate), edited by: Levitus, S., NOAA Atlas NESDIS 71, U.S. Government Printing Office, Washington, DC, 398 pp., 2010.
Hall, T. M., Haine, T. W. N., and Waugh, D. W.: Inferring the concentration of anthropogenic carbon in the ocean from tracers, Global Biogeochem. Cy., 16, 1131, doi:10.1029/2001gb001835, 2002.
Jones, S. D., Le Quéré, C., and Rödenbeck, C.: Autocorrelation characteristics of surface ocean pCO2 and airsea CO2 fluxes, Global Biogeochem. Cy., 26, GB2042, doi:10.1029/2010GB004017, 2012.
Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J. L., Feely, R. A., Millero, F. J., Mordy, C., and Peng, T. H.: A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP), Global Biogeochem. Cy., 18, GB4031, doi:10.1029/2004GB002247, 2004.
Key, R. M., Tanhua, T., Olsen, A., Hoppema, M., Jutterström, S., Schirnick, C., van Heuven, S., Kozyr, A., Lin, X., Velo, A., Wallace, D. W. R., and Mintrop, L.: The CARINA data synthesis project: introduction and overview, Earth Syst. Sci. Data, 2, 105- 121, doi:10.5194/essd-2-105-2010, 2010. [OpenAIRE]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 2 downloads 0 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 2views
Citations provided by BIP!Popularity provided by BIP!Influence provided by BIP!Impulse provided by BIP!
Views provided by UsageCounts- National Science Foundation (NSF)
- 1243377
- Directorate for Geosciences | Division of Ocean Sciences
- National Science Foundation (NSF)
- 1425989
- Directorate for Geosciences | Division of Polar Programs
- Helmholtz Association of German Research Centres Germany
- Atmospheric and Oceanic Sciences Princeton University United States
- UNI RESEARCH AS Norway
- Scientific Committee On Oceanic Research United States
- Japan Meteorological Agency Japan
- University of Bern Switzerland
- GEOMAR Helmholtz Centre for Ocean Research Kiel Germany
- IVL - Swedish Environmental Research Institute Sweden
- Bjerknes Centre for Climate Research Norway
- ULiège Belgium
- Institute of Oceanography and Fisheries Croatia
- Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany Germany
- GEOMAR Helmholtz Centre for Ocean Research Kiel, Library Germany
- Princeton University United States
- U.S. Department of Energy United States
- Royal Netherlands Institute for Sea Research Netherlands
- TRUSTEES OF PRINCETON UNIVERSITY United States
- Hellenic Centre for Marine Research Greece
- University of Bremen, Institute of Environmental Physics Germany
- Marine Institute Ireland
- Université de Liège (ULiège) Belgium
- UNIVERSITETET I BERGEN Norway
- University of Liège Belgium
- College of New Jersey United States
- Dutch Research Council Netherlands
- University of Bremen Germany
We present a mapped climatology (GLODAPv2.2016b) of ocean biogeochemical variables based on the new GLODAP version 2 data product (Olsen et al., 2016; Key et al., 2015), which covers all ocean basins over the years 1972 to 2013. The quality-controlled and internally consistent GLODAPv2 was used to create global 1° × 1° mapped climatologies of salinity, temperature, oxygen, nitrate, phosphate, silicate, total dissolved inorganic carbon (TCO2), total alkalinity (TAlk), pH, and CaCO3 saturation states using the Data-Interpolating Variational Analysis (DIVA) mapping method. Improving on maps based on an earlier but similar dataset, GLODAPv1.1, this climatology also covers the Arctic Ocean. Climatologies were created for 33 standard depth surfaces. The conceivably confounding temporal trends in TCO2 and pH due to anthropogenic influence were removed prior to mapping by normalizing these data to the year 2002 using first-order calculations of anthropogenic carbon accumulation rates. We additionally provide maps of accumulated anthropogenic carbon in the year 2002 and of preindustrial TCO2. For all parameters, all data from the full 1972–2013 period were used, including data that did not receive full secondary quality control. The GLODAPv2.2016b global 1° × 1° mapped climatologies, including error fields and ancillary information, are available at the GLODAPv2 web page at the Carbon Dioxide Information Analysis Center (CDIAC; doi:10.3334/CDIAC/OTG.NDP093_GLODAPv2).