A new global interior ocean mapped climatology: the 1° ×  1° GLODAP version 2


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Mario.Hoppema [ at ] awi.de

Abstract

<jats:p>Abstract. 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). </jats:p>



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Eprint ID
41481
DOI https://www.doi.org/10.5194/essd-8-325-2016

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Lauvset, S. K. , Key, R. M. , Olsen, A. , van Heuven, S. , Velo, A. , Lin, X. , Schirnick, C. , Kozyr, A. , Tanhua, T. , Hoppema, M. , Jutterström, S. , Steinfeldt, R. , Jeansson, E. , Ishii, M. , Perez, F. F. , Suzuki, T. and Watelet, S. (2016): A new global interior ocean mapped climatology: the 1° ×  1° GLODAP version 2 , Earth System Science Data, 8 (2), pp. 325-340 . doi: https://www.doi.org/10.5194/essd-8-325-2016


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