In 2019, Goldschmidt will take place in Barcelona, Spain, from 18 to 23 August.
Attending Goldschmidt are:
- Christian Marz, Sandra Arndt, Kate Hendry, Johan Faust, Felipe Sales de Freitas, James Ward (ChAOS)
- Sian Henley (Arctic PRIZE, ChAOS)
- Robyn Tuerena, Raja Ganeshram (ARISE)
- Michael Karcher (APEAR, Eco-Light)
- Kirsty Crocket (Science Coordinator)
Investigators in the Changing Arctic Ocean have proposed two sessions. If you are an Arctic scientist, please consider submitting your abstract to these sessions (details below). Abstract submission is open from 15 January to 29 March 2019.
Conveners: Núria Casacuberta, Michael Karcher (APEAR, Eco-Light)
Research in the context of GEOTRACES and beyond has shown the value of using chemical tracers in seawater for documenting and understanding transient ocean processes. Tracer applications in ocean models have provided significant additional insights into physical oceanography and fostered the improvement of ocean models. Natural and anthropogenic tracers such as radionuclides, gas tracers, oxygen isotopes, DOM, etc. can facilitate a better understanding of circulation and mixing in high latitude regimes. With a focus on the Arctic Ocean and its adjacent seas we invite contributions dealing with chemical tracers as tools for investigations on the circulation within and exchanges between the Arctic and sub-Arctic Seas, including the northern Atlantic and Pacific oceans. We encourage contributions on large-scale processes occurring over annual to decadal time scales, that provide insight into dispersion pathways in the Arctic and sub-Arctic seas and tele-connections between Arctic circulation and the Meridional Overturning Circulation via the Arctic Loop Current. We especially encourage contributions combining modelling with tracer measurements. Questions to be addressed may include: • What can be learned about circulation and modification of water masses in the northern oceans based on tracer observations and modelling? • What are the elements of water mass dispersion that appear to be stable over timescales of years to decades, and which are changing? • What are the governing physics and bio-geochemistry factors? • What are the most promising new tracers for the Arctic domain? • How can collaboration between observational tracer science and modelling be improved?
Conveners: Christian März (ChAOS), Robyn Tuerena (ARISE)
Keynote: Lauren Kipp (MIT/WHOI)
The Arctic Ocean encompasses 15% of the world’s shelf seas, with Arctic shelves representing almost half the area of the deep Arctic basins. The Arctic is warming twice as fast as the rest of the planet, causing cascading but poorly quantified impacts on the marine ecosystem. Within this dramatically changing environment, shelf seas are being altered due to declining sea ice, changing ocean circulation patterns, increasing riverine input, melting permafrost, eroding coastlines and increasing anthropogenic pressure from fishing, exploration and marine traffic. The impacts of these physical changes are already being observed, with increases in primary production, phytoplankton community structure and onset of ocean acidification. Arctic shelf seas not only play a key role in the local and global biogeochemical cycles and climate, but are also economically important areas. It is therefore critical to develop a better understanding of the Arctic ecosystem now in order to predict the impact of future climate change on the Arctic. Due to the complex and coupled environmental processes, an integrated view on the cycling of any biogeochemically active element (carbon, nutrients, metals etc) and interactions with biological and physical parameters is ultimately required to understand, and potentially predict, how climate change will be affecting Arctic shelf seas and their sediments. This session therefore invites submissions on any aspect of the biogeochemistry of Arctic Ocean shelves including, but not limited to, studies on the water column, particulates or sediments applying organic, inorganic and/or isotope geochemistry methods in the context of observational, experimental or modelling approaches.