Current DSM Projects

The DeepSea Monitoring group is involved in the following national and international research projects:

Digital Earth

Digital Earth has been strategically initiated by all eight centres of the Helmholtz research field Earth and Environment(E&E) and is coordinated by our group. The project aims for advances in theEarth system understandingthrough betterintegration of data and knowledgefrom the different Earth science disciplines and Earth compartments. Improvement in this field strongly depends on our capabilities of dealing with fast growing multi-parameter data and on our effortemploying Data Science methods, adaptingnew algorithmsand developing digitalworkflowstailored to specific scientific needs.

See also digitalearth-hgf.de

MOSES

MOSES is a novel observing system of the Helmholtz Association, developed by the Helmholtz Centres in the research field “Earth and Environment”. It comprises highly flexible and mobile observation modules which are specifically designed to investigate the interactions of short-term events and long-term trends across Earth compartments. Heat waves, hydrological extremes, ocean eddies and permafrost thaw will be in the focus of this new event-oriented observation and research initiative.

See also ufz.de/moses

COMPASS

COMPASS (Control of an Operational Mining Path Through an Auto-Adaptive Steering System) is funded by the MarTERA partners Flanders Innovation & Entrepreneurship (VLAIO) and German Federal Ministry of Economic Affairs and Energy (BMWi) and co-funded by the European Union. The aim is to develop an autonomous and adaptive steering system for seabed nodule mining. The system shall determine the most operationally and environmentally efficient mining path seabed mining vehicle (MV), while guaranteeing safe execution, integrating forecasted hydrodynamic and sediment transport data, optimal maneuverability and production efficiency.

See also martera.eu/projects/compass

BASTA

The European research project BASTA (Boost Applied munition detection through Smart data inTegration and AI workflows) is coordinated by our group with the participation of the Marine Institute Flanders (VLIZ), the sotware developer EGEOS GmbH and the Belgian surveying service provider G-Tec SA. It is funded by the EU's European Maritime and Fisheries Fund (EMFF) in the Blue Labs program. The project aims at advancing the approach for munition detection both on a local and a larger scale. It seeks to advance data acquisition through ultra-high-resolution 3D sub-bottom profiling (SBP) and intelligent autonomous underwater vehicle (AUV) based magnetic mapping as part of an adaptive and iterative survey approach. In addition, it will foster sustainable use of survey and historical data within a multi-sensor database.

See also basta-munition.eu

REEBUS

The project REEBUS is aiming for understanding the role of ocean eddies in the carbon pump of eastern boundary upwelling system. Seven work-packages work side by side on different aspects of ocean eddies, such as eddy formation and stability, physical mixing, carbon uptake via phytoplankton at the surface, sinking of particles and their decomposition and particle flux to the seafloor. The DSM group is involved into spatial mapping of deepsea regions and correlation of seafloor properties (morphology, benthic fauna) to geochemical in-situ measurements and machine learning algorithms shall be developed for extrapolation of geochemical properties into wider areas. Additional seafloor characterization will help to enhance geochemical interpretation of measurements and detect background heterogeneity of the seafloor.

See also ebus-climate-change.de

JPIO Mining Impact

- Environmental Impacts and Risks of Deep-Sea Mining

This MiningImpact phase will follow up on the results of the JPI Oceans pilot action on "Ecological Aspects of Deep-Sea Mining" which terminated in late December 2017 (see results here). While the initial MiningImpact phase investigated experimental and rather small-scale disturbances of the seafloor over decadal timescales, the second part will independently study and comprehensively monitor in real time the environmental impact of an industrial trial to mine manganese nodules on the seafloor which will be conducted simultaneously and independently by the Belgian contractor DEME-GSR in the Belgian and German licence area in the Clarion-Clipperton-Zone

See also miningimpact.geomar.de

MarDATA

The Helmholtz School for Marine Data Science (MarDATA) is a graduate school, financed by the Helmholtz Association. It aims to define and educate a new type of “marine data scientists” by introducing and embedding researchers from computer sciences and mathematics into ocean sciences, covering a broad range from supercomputing and modelling, (bio)informatics, robotics, to statistics and big data methodologies. Researchers from the German leading institutes for marine research, the GEOMAR  and the Alfred-Wegener-Institute (AWI) Helmholtz Centre for Polar and Marine Research, will jointly educate and supervise doctoral (PhD) candidates together with information & data science specialists from their partner universities in Kiel (Kiel University) and Bremen (Universität Bremen and Jacobs University).

 

A selection of other important projects of the Research Unit Marine Geosystems can be found here.