Global Wind Atlas (GWA) is a free, global dataset of wind resources developed by DTU (Technical University of Denmark) in partnership with the World Bank Group. The Atlas integration imports GWA wind-speed rasters into your project so you can analyse wind potential anywhere in the world.
For an end-to-end wind farm analysis (turbine placement and energy yield), see Wind Energy Analysis.
Open the integration
In a project, open the right-hand panel, switch to the Integrations tab, and pick Global Wind Atlas.
Pick a hub height
Choose the hub height for the wind speed layer:
- Mean Wind Speed 10m
- Mean Wind Speed 50m
- Mean Wind Speed 100m (default)
- Mean Wind Speed 150m
- Mean Wind Speed 200m
Higher hub heights generally show stronger and more consistent wind speeds. Pick the height that matches the turbine class you're evaluating.
Run
Click Run (or Import) to extract the wind raster for your area. Atlas adds it to the project as a new raster layer.
What you can do with it
Once imported, the wind raster is a regular raster dataset:
- Visualise it with a colour ramp to spot windier zones.
- Use it as input in Constraint Analysis (e.g. only consider sites where mean wind speed > 7 m/s).
- Combine it with Wind Energy Analysis for site-specific yield estimates.
- Sample its values along a line with Elevation Profile (using the wind raster as the data source).
Attribution
Data is from Global Wind Atlas version 3.3, a free, web-based application developed, owned, and operated by the Technical University of Denmark (DTU), released in partnership with the World Bank Group, utilising data provided by Vortex, using funding from the Energy Sector Management Assistance Program (ESMAP). When publishing maps that include GWA data, credit "Global Wind Atlas" or visit globalwindatlas.info for the full attribution requirements.
Limits and notes
- Coverage is global.
- Resolution is fixed by the GWA dataset; you can't resample at import time.
- The data is a long-term mean — it doesn't reflect short-term variability or seasonality.