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- 7449
Enabling Sustainable Wind Energy Expansion in Seasonally Stratified Seas (eSWEETS3)
Data set information
| Query EDMED |
| General | |
| Data holding centre | British Oceanographic Data Centre |
| Country | United Kingdom ![]() |
| Time period | From May 2024 until February 2027 |
| Ongoing | No |
| Geographical area | North Sea |
| Observations | |
| Parameters | Particulate total and organic carbon concentrations in the water column; Dissolved organic carbon concentration in the water column; Turbulence in the water column; Particulate total and organic nitrogen concentrations in the water column; Dissolved total and organic nitrogen concentrations in the water column; Salinity of the water column; Temperature of the water column; Nitrate concentration parameters in the water column; Ammonium and ammonia concentration parameters in water bodies; Silicate concentration parameters in the water column; Chlorophyll pigment concentrations in water bodies; Dissolved oxygen parameters in the water column; Electrical conductivity of the water column; Nitrite concentration parameters in the water column; Dissolved total or organic phosphorus concentration in the water column |
| Instruments | Optical backscatter sensors; inorganic carbon analysers; high performance liquid chromatographs; nutrient analysers; CTD |
| Description | |
| Summary | The eSWEETS3 project investigates how large floating offshore wind turbine arrays affect shelf sea physics, chemistry, and biology, focusing on stratification, nutrient mixing, oxygen distribution, and phytoplankton productivity. Observations will be conducted in the NW European shelf seas, including existing floating wind farms in the northern North Sea and surrounding regions. Measurements will be taken throughout the stratified season, from spring to autumn, to capture seasonal dynamics in water column structure and biological activity. The project combines in situ observations using autonomous gliders and sensors, seabed temperature monitoring along power cables, and water sampling for nutrient and phytoplankton pigment analysis via HPLC, with data incorporated into computer models to predict impacts of current and future offshore wind deployments. Understanding turbine-induced turbulence and its effects on shelf seas is essential to guide sustainable renewable energy development, inform regulators, support industry, and improve predictive models of ecosystem responses to climate change. The project is led by researchers from the University of Liverpool (Earth, Ocean and Ecological Sciences), University of Southampton (School of Ocean and Earth Science), University of Plymouth (School of Engineering, Computing and Mathematics, SECaM), Bangor University (School of Ocean Sciences), University of Aberdeen (Institute of Biological and Environmental Sciences), University of East Anglia (Environmental Sciences), University of Hull (Biology), National Oceanography Centre (Science and Technology), Scottish Association for Marine Science, and Marine Scotland Science (Marine Laboratory), and is supported by the lead NERC grant NE/X004953/1 and child grants NE/X00404X/1, NE/X00418X/1, NE/X004295/1, NE/X004775/1, NE/X004864/1, NE/X004872/1, NE/X004880/1, NE/X005003/1, and NE/X005577/1. |
| Originators | Bangor University School of Ocean Sciences Marine Scotland Science National Oceanography Centre (Liverpool) Scottish Association for Marine Science University of Aberdeen, School of Biological Sciences University of East Anglia, School of Environmental Sciences University of Hull University of Plymouth University of Southampton |
| Data web site | https://www.bodc.ac.uk/resources/inventories/edmed/search/ |
| Availability | |
| Organisation | British Oceanographic Data Centre |
| Availability | Unrestricted |
| Contact | Polly Hadžiabdić (Head of Enquiries) |
| Address | British Oceanographic Data Centre |
| Telephone | +44 (0)782 512 0946 |
| enquiries@bodc.ac.uk | |
| Administration | |
| Collating centre | British Oceanographic Data Centre |
| Local identifier | 1048_eSWEETS3 |
| Global identifier | 7449 |
| Last revised | 2025-11-06 |



