The Virtual Met Mast, a groundbreaking achievement from the EU-funded WindSider project, resulted from a dynamic collaboration between Singular Logic, Nazka Mapps, the Technical University of Denmark, and the Universidad Politécnica de Madrid. By generating high-resolution wind resource data, it provides invaluable insights for strategic planning of financially viable wind farms.
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Like many wind data services, the basics of 3E’s microscale wind resource model is the well-known WRF model, i.e.
- We generate a mesoscale climatology on a 3x3km grid at hourly resolution by combining our own Weather Research & Forecasting (or WRF) model and deep learning to optimise the computational processes for long periods.
However, to achieve a spatial and temporal resolution that can capture the local effects of topography at a specific location and height, we apply three models to end up with a high-resolution full-scale microscale wind model, i.e.
- We downscale the spatial resolution to a grid of 30x30m by correcting for topographic effects at the local scale based on the wind atlas methodology3. Very high-resolution topographic data (10m for land cover, 30m for elevation) are used in this process to better capture heterogeneity in the surroundings of the target site.
- We correct the spectral domain of the WRF model using the principles of the Spectral Correction Method (or SCM), correcting the dampening effect of WRF’s mesoscale simulations at a 1h-1 resolution.
- We extend the spectral domain of the WRF model by including sub-hourly turbulence effects with a microscale spectral boundary layer model, to achieve a 10min output resolution.
Virtual Met Mast Data Sheet
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