Global surface ocean pH, acidity, and Revelle Factor on a 1x1 degree global grid from 1770 to 2100 (NCEI Accession 0206289)

This dataset contains spatial distribution of surface ocean pH (total hydrogen scale), acidity (or hydrogen ion activity, unit: nmol/kg, or 10^-9 mol/kg) and Revelle Factor (a measure of the ocean's buffer capacity, unitless) on a 1x1 degree global grid (Longitude: [20.5:1:379.5], Latitude: [-89.5:1:89.5]) in all 12 months of the years from 1770 to 2100 (1770, 1780, 1790, ..., 2100). This data product is produced by combining a recent observational seawater carbon dioxide (CO2) data product, i.e., the 6th version of the Surface Ocean CO2 Atlas (1991-2018, ~23 million observations), with temporal trends at individual locations of the global ocean from a robust Earth System Model (ESM2M), to provide a high-resolution regionally varying view of global surface ocean pH, acidity, and the Revelle Factor. The climatology extends from the pre-Industrial era (1770 C.E.) to the end of this century under historical atmospheric CO2 concentrations (pre-2005) and the Representative Concentrations Pathways (RCP2.6, RCP4.5, RCP6.0 and RCP8.5, post-2005) of the Intergovernmental Panel on Climate Change (IPCC)’s 5th Assessment Report (AR5). By linking the modeled pH trends to the observed modern pH distribution, the climatology benefits from recent improvements in both model design and observational data coverage, and is likely to provide improved regional OA trajectories than the model output could alone, therefore, will help guide the regional OA adaptation strategies. Revelle Factor is defined as the ratio between the fractional change in pCO2 to the fractional change in dissolved inorganic carbon (DIC). This dataset is available in netCDF format. Some plots and animation files are also available for your presentation purposes. For details of the calculation and gridding method, please refer to Jiang, L.-Q., B. R. Carter, R. A. Feely, S. Lauvset, and A. Olsen (2019), Surface ocean pH and buffer capacity: past, present and future, Nature Scientific Reports, 9:18624, https://doi.org/10.1038/s41598-019-55039-4.