Short biography:
Liqing Jiang is a chemical oceanographer specializing in the study of inorganic carbon cycling and ocean acidification. He received his Ph.D in Oceanography from the University of Georgia in 2009 and did his postdoctoral research at Yale University. Liqing has been working at NOAA's National Centers for Environmental Information (NCEI) since 2011. One of the main projects he is working on is the Ocean Acidification Data Stewardship Project which features a rich metadata template that was developed by working with OA scientists. Liqing was recently funded to synthesize biogeochemical data in North America's coastal waters.
Abstract:
The ocean’s chemistry is changing due to the uptake of anthropogenic carbon dioxide (CO2). This phenomenon, commonly referred to as “Ocean Acidification”, is endangering coral reefs and the broader marine ecosystems. In this study, we combine a recent observational seawater 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 to provide a high-resolution regionally varying view of global surface ocean pH, aragonite saturation state, and the Revelle Factor. The climatology extends from the pre-Industrial era (1750 C.E.) to the end of this century under historical atmospheric CO2 concentrations (pre-2005) and the Representative Concentrations Pathways (post-2005) of the Intergovernmental Panel on Climate Change (IPCC)’s 5th Assessment Report. By linking the modeled CO2 trends to the observed modern pH and aragonite 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. We show that air-sea CO2 disequilibrium is the dominant mode of spatial variability for surface pH, and discuss why pH and calcium carbonate mineral saturation states, two important metrics for OA, show contrasting spatial variability.
Note that this seminar will take place in the GFI teaching room 320. (Next to the cafeteria in Allegaten 70)
Wednesday 20 November at 13:00