Marine Sensor Systems
Prof. Dr. Oliver Zielinski
Tel Ol: +49-(0)441-798-3518
Tel WHV: +49-(0) 4421-944-174
How to get there.
The environmental conditions in the sea change constantly both in the short- and long-term. In order to detect these processes, the research group Marine Sensor Systems explores and develops innovative methods and sensors that can be operated on-site at sea. The scientists identify key variables of coastal regions and shelf seas and integrate them into observation systems. One focus is on measuring methods based on optical and acoustic principles.
Thematic focus/ key issues
- Multispectral sensors for biogeochemical parameters and marine pollutants
- Autonomous long-term sensor and observation systems
- Methods for quality assurance of time series data
- In situ imaging for detecting spatiotemporal distribution patterns of plankton and particles
- Description and quantification of biogeochemical and hydrodynamic exchange processes
New project starting in August 2016 : Coastal Ocean Darkening
Light availability in the coastal ocean is closely coupled to its physical, biological and chemical processes and is experiencing changes on all spatial and temporal scales. Several studies addressed the changing light climate in the ocean showing a global decline in phytoplankton as derived from increases in transparency or regional different trends in blueishing or greening of ocean basins. All these studies did not include coastal areas and only a limited number of papers so far approach the topic of a changing light availability. It is the core impetus of this proposal that coastal areas are highly sensitive to changes of the abiotic conditions but not well covered in terms of spectral light observations and sensitivity studies for future scenarios. Therefore the proposal will address the process of a potential decrease in light availability (coastal ocean darkening) covering the past and future 100 years in a unique combination of historic observations, hyperspectral sensing, biodiversity studies and modeling scenarios including an outreach to citizens and relevant enterprises.