GenerateWind.py File Reference

Classes
class	GenerateWind.GenerateWind

Namespaces
	GenerateWind

Variables
bool	GenerateWind.normalize = True
float	GenerateWind.friction_velocity = 2.683479938442173
float	GenerateWind.reference_height = 180.0
float	GenerateWind.roughness_height = 0.75
	GenerateWind.grid_dimensions = np.array([1200.0, 864.0, 576.0])
	GenerateWind.grid_levels = np.array([7, 7, 7])
int	GenerateWind.seed = 9000
	GenerateWind.wind = GenerateWind(friction_velocity, reference_height, grid_dimensions, grid_levels, seed)
	GenerateWind.wind_field = wind.total_wind
	GenerateWind.sd = np.sqrt(np.mean(wind_field**2))
float	GenerateWind.JCSS_law = lambda z, z_0, delta, u_ast: u_ast/0.41 * ( np.log(z/z_0+1.0) + 5.57*z/delta - 1.87*(z/delta)**2 - 1.33*(z/delta)**3 + 0.25*(z/delta)**4 )
float	GenerateWind.log_law = lambda z, z_0, u_ast: u_ast * np.log(z/z_0+1.0)/0.41
	GenerateWind.z = np.linspace(0.0,grid_dimensions[2], 2**(grid_levels[2])+1)
float	GenerateWind.mean_profile_z = log_law(z, roughness_height, friction_velocity)
	GenerateWind.mean_profile = np.zeros_like(wind_field)
string	GenerateWind.FileName = 'OntheFlyWindField'
	Export to vtk. More...
	GenerateWind.spacing = tuple(grid_dimensions/(2.0**grid_levels + 1))
	GenerateWind.wind_field_vtk = tuple([np.copy(wind_field[...,i], order='C') for i in range(3)])
dictionary	GenerateWind.cellData = {'grid': np.zeros_like(wind_field[...,0]), 'wind': wind_field_vtk}