Abstract:
The Southern Ocean (SO. is responsible for more than half of the oceanic uptake of atmospheric CO2, data in this region is limited and subject to temporal, spatial and seasonal bias due to the inaccessibility of the SO as a result of high risk weather conditions and ice coverage experienced in winter. To resolve this bias, we have begun to use autonomous ocean robotic systems to collect high resolution seasonal data. The first aim of my study is to determine the accuracy of pCO2 derived from autonomous measurements of pH. The second aim is to investigate the applicability of the Lee et al. 2006 algorithm used to estimate total alkalinity (TA. from sea surface salinity and temperature to the SO in winter. My study utilizes data collected from Wave Glider deployments (pCO2, pH. at a reference station (43 °S; 8.5 °E., shipboard underway sampling (DIC, TA. and continuous in situ analysis (pCO2.. The ultimate goal is to quantify high-resolution ocean fluxes of CO2 in the sub-Antarctic zone of Southern Africa from the summer 2013 - winter 2017 and to investigate the strength of the pCO2 sink in winter in comparison to data obtained by the SOCCOM project (Williams et al. 2017.. - Abstract as displayed in the - Abstract booklet. The presentation on the day may differ from the - Abstract.
