OceanSODA-UNEXE: a multi-year gridded Amazon and Congo River outflow surface ocean carbonate system dataset

• DOI: 10.5194/essd-15-2499-2023
• Publication Date: 2023-06-16T11:21:19Z
• Authors: Richard P. Sims; Thomas M. Holding; Peter E. Land; Jean-Francois Piolle; Hannah L. Green; Jamie D. Shutler
• Keywords: Alkalinity; Outflow

Abstract. Large rivers play an important role in transferring water and all of its constituents, including carbon various forms, from the land to ocean, but seasonal inter-annual variations these riverine flows remain unclear. Satellite Earth observation datasets reanalysis products can now be used observe synoptic-scale spatial temporal carbonate system within large river outflows. Here, we present University Exeter (UNEXE) Oceanographic Datasets for Acidification (OceanSODA) dataset (OceanSODA-UNEXE) time series, a full surface outflows Amazon (2010–2020) Congo (2002–2016) rivers. Optimal empirical approaches were generate gridded total alkalinity (TA) dissolved inorganic (DIC) fields outflow regions. These combinations determined by equitably evaluating algorithms inputs against reference matchup database situ observations. Gridded TA DIC along with temperature salinity data enable calculation ocean (which includes pH partial pressure dioxide, pCO2). The algorithm evaluation constitutes Type-A uncertainty DIC, which model, input sampling uncertainties are considered. Total combined propagated through calculation, allowing variables provided associated estimate. In outflow, was 36 µmol kg−1 (weighted root-mean-squared difference, RMSD, 35 weighted bias 8 n = 82), whereas it 44 RMSD −6 70). spatially averaged pCO2 85 µatm 0.08, respectively, where relative average 8.19. identified as 29 28 6 102), 40 37 −16 77). 74 8.21. lower than natural variability their respective regions, time-varying regional evaluated. Potential uses would assessment flow into Atlantic riverine-driven experienced tropical reefs presented this work available at https://doi.org/10.1594/PANGAEA.946888 (Sims et al., 2023).