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Case Study - MDE data used to validate Scotwind screening model

TGS has used the Crown Estate’s wind measurement library to validate the results of a new, high resolution numerical weather prediction (NWP) model over the north of the UK to screen the leases available in the 2021 Scotwind lease round.



This numerical weather prediction model is designed to reconstruct meteorological conditions from the last 10 years at a spatial resolution of 1km with an hourly temporal resolution. This provides operators interested in the Scotwind lease round with a unique, immediately available data resource that can evaluate wind conditions over the Scotwind leases.

Wind Measurements from the MDE have been used to validate the results of the NWP to increase the confidence of the model and further improve data quality in comparison with publicly available wind model information.

TGS are expanding this dataset over the wider North Sea and over other active and expected offshore wind lease rounds areas including in the USA. In 2021 TGS acquired market intelligence providers 4C Offshore, allowing the results of these NWP models to be integrated with information from their Foresee database to provide a range of insights related to wind resources in these areas.

Some of the data that fed into this

Other projects that have benefited from the MDE data

OneBenthic

Bringing together disparate benthic datasets (e.g. seabed macrofauna, sediment particle size) into one cloud-based platform


Industry Evidence Programme

Making Environmental Impact Assessment (EIA) more concise, accessible and transparent by adopting risk-based, proportionate and evidence-based practice.


UK Offshore Wind Variability

Variability in wind speeds offshore the UK is significantly lower than previously understood


Have you used some of the MDE data for your project?


If so, we'd love to hear about it. We want the data from the MDE to benefit others; to facilitate innovation and to encourage collaboration. What better way to do this than by raising awareness of how the MDE data has already been used and showcasing the work that others are doing.