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The Wind Data Generator (WDG) is a wind energy software tool capable of running WRF (Weather Research and Forecasting Model) [1] model to create a wind atlas and to generate wind data at any location, any height of interest for any resolution from 3 km to 10 km.
Python library for the manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in geoh5 file format, natively supported by Geoscience ANALYST free 3D viewer Mira Geoscience Ltd. LPGL 3.0 Cross-platform: Python: Documentation and tutorials fully available in ReadTheDocs: geoapps repository [24]
Developed by the Government of Canada, the software is multilingual, and includes links to wind energy resource maps. The Wind Data Generator (WDG) is a Wind Energy Software tool capable of running WRF (Weather Research and Forecasting) model to create a wind atlas and to generate wind data at resolutions of 3 km to 10 km.
A number of graphical tools for site analysis have been developed to assist designers in this task. Examples of traditional climate-related site analysis tools are the sundial, the sun path diagram, the radiation square, the wind rose, and the wind square.
A wind atlas contains data on the wind speed and wind direction in a region. [1] These data include maps , but also time series or frequency distributions . A climatological wind atlas covers hourly averages at a standard height (10 meters) over even longer periods (30 years) but depending on the application there are variations in averaging ...
The Global Wind Atlas is a web-based application developed to help policymakers and investors identify potential high-wind areas for wind power generation virtually anywhere in the world, and perform preliminary calculations. It provides free access to data on wind power density and wind speed at multiple heights using the latest historical ...
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In fluid dynamics, wind wave modeling describes the effort to depict the sea state and predict the evolution of the energy of wind waves using numerical techniques.These simulations consider atmospheric wind forcing, nonlinear wave interactions, and frictional dissipation, and they output statistics describing wave heights, periods, and propagation directions for regional seas or global oceans.
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