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

Abstract

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).

Carbon–climate feedbacks accelerate ocean acidification

“…For 2002, we compare the simulated annual mean surface ocean aragonite saturation state to the values estimated from GLODAPv2 observational dataset Olsen et al, 2016;Lauvset et al, 2016) (Fig. 1).…”

“…With higher atmospheric CO 2 Figure 1. Year 2002 surface aragonite saturation state (a) from the GLODAPv2 observational dataset Olsen et al, 2016;Lauvset et al, 2016) and (b) simulated. The purple line denotes an aragonite saturation state of 3. concentrations, more CO 2 is taken up by the ocean; this in turn reduces the oceans buffering capacity of CO 2 , or Revelle factor (Revelle and Suess, 1957), acting as a feedback to reduce ocean carbon uptake.…”

CSIB v1: a sea-ice biogeochemical model for the NEMO community ocean modelling framework

“…Elsewhere, these values were set to zero. The initial concentrations of nitrate, dissolved inorganic carbon, and total alkalinity were taken from 5 the annual-mean fields of the GLobal Ocean Data Analysis Project version 2 (GLODAP2; Lauvset et al, 2016). The initial concentrations of dissolved oxygen were set to the annual-mean fields from the World Ocean Atlas 2013 Version 2 (WOA13; Garcia et al, 2014).…”

Model constraints on the anthropogenic carbon budget of the Arctic Ocean

“…The simulated basin-wide storage (inventory) of simulated C ant , adjusted for the late starting date, was compared to the 30 TTD-based estimates of anthropogenic carbon from (1) the GLODAPv2 assessment (Lauvset et al, 2016) These model-data differences in basin-wide inventories were investigated further by comparing vertical profiles of C ant from the models to those from the GLODAPv2 data-based estimates (Fig. 7).…”

“…These two cruises were chosen among other cruises because of their geographically similar placement and because they cross large parts of the Arctic, including almost all four major basins. (Lauvset et al, 2016), both based on the TTD approach. …”