to the user interface, a new tool for preparing and downloading poster maps, and various bug fixes. The most recent release, in November 2018 (GWA 2.3) introduced three capacity factor layers, new wind roses, and improved calculation of power density, and the ability to download GIS files, among other features. The latest release of the Global Wind Atlas (3.0) was launched on October 25, 2019, featuring further methodological modeling improvements, all new raw data (based on 10 years of mesoscale time-series model simulations), data coverage spanning 200 kilometers offshore, two additional heights (data now at 10, 50, 100, 150 and 200 m above ground/sea level), as well as the introduction of the all new energy yield calculator, allowing users to a) specify a generic or custom wind turbine and b) create downloadable GIS-data for annual energy production, capacity factor, or full load hours for estimating power generation for any given point or area. Methodology The Global Wind Atlas is based on a coupling of mesoscale to microscale modeling. The mesoscale modeling carried out by Vortex for GWA 2.0 uses ERA Interim meteorological re-analysis data provided by the European Centre for Medium-Range Weather Forecasts. Version 3.0 takes advantage of next generation of reanalysis ERA5 while increasing mesoscale resolution to 3km. That data is converted to generalized wind for input to the microscale models developed and run by DTU. While tools such as the Global Wind Atlas can provide useful data to support planning and initial site scoping, they are no replacement for the more detailed analysis needed when evaluating actual wind farm projects. Outputs and usage In addition to the data available via the Global Wind Atlas website, users may also download poster maps, GIS data, and Generalized Wind Climate (GWC) files for use in commercial wind resource assessment software such as WAsP. GIS data from the Global Wind Atlas is available via the IRENA Global Atlas for Renewable Energy, and has been included as the core wind data in the RETScreen software. It is used by governments, renewable energy developers, and academics, and has an average of 7,500 unique users per month as of October 2018. Data from the Global Wind Atlas has been used by the World Bank Group to create maps on offshore wind technical potential in a number of developing countries as part of a report on this topic published in 2019. The methodology used the 200