A multi-decade record of high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)

Abstract

A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water f CO 2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. Highprofile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection Sabine et al., 2013;Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770. The gridded products are available here:

Uncertainty in the global oceanic CO<sub>2</sub> uptake induced by wind forcing: quantification and spatial analysis

“…It is also interesting to compare our reported F CO 2 uncertainties to those introduced by the choice of a given pCO 2 product. The application of distinct interpolation techniques in recent years has led to the publication of several global pCO 2 products that are largely based on the same observational dataset (i.e., SOCAT; Bakker et al, 2016). To quantify the uncertainty introduced by the choice of the pCO 2 field, Rödenbeck et al (2015) applied an identical parameterization of the CO 2 exchange at the air-water interface to 14 pCO 2 data products.…”

Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling

“…Emerson, 2014), which may introduce additional constraints for identifying values of a larger number of parameters of plankton ecosystem models. Finally, we point to latest products from compilations and syntheses of oceanic and atmospheric CO 2 data collected by a large international community (Röden-beck et al, 2015;Bakker et al, 2016). Data products like air-sea CO 2 flux of specified ocean regions (biomes), as derived in Rödenbeck et al (2015), in combination with data of nutrient concentrations and O 2 will likely put new light on those parameters that determine variations of the elemental stoichiometry (C : N: P : O 2 ) in model results of inorganic and organic matter cycling.…”

Global high-resolution monthly <i>p</i>CO<sub>2</sub> climatology for the coastal ocean derived from neural network interpolation

“…Laruelle et al (2014) used more than 3 × 10 6 pCO 2 measurements from the SOCATv2 database Bakker et al, 2016 to demonstrate very strong disparities in air-seawater CO 2 exchange at the regional scale and pro-G. G. Laruelle et al: Global coastal pCO 2 maps nounced seasonal variations, especially at temperate latitudes. Furthermore, it was suggested that, despite the presence of a seasonally varying sea-ice cover, Arctic continental shelves are a regional hotspot of CO 2 uptake (Bates et al, 2006;Laruelle et al, 2014;Yasunaka et al, 2016).…”