pysteps.noise.fftgenerators.generate_noise_2d_ssft_filter¶

pysteps.noise.fftgenerators.generate_noise_2d_ssft_filter(F, randstate=None, seed=None, **kwargs)¶

Function to compute the locally correlated noise using a nested approach.

Parameters

F: array-like: A filter object returned by pysteps.noise.fftgenerators.initialize_nonparam_2d_ssft_filter() or pysteps.noise.fftgenerators.initialize_nonparam_2d_nested_filter(). The filter is a four-dimensional array containing the 2d fourier filters distributed over a 2d spatial grid.
randstate: mtrand.RandomState: Optional random generator to use. If set to None, use numpy.random.
seed: int: Value to set a seed for the generator. None will not set the seed.

Returns

N: array-like: A two-dimensional numpy array of non-stationary correlated noise.

Other Parameters

overlap: float: Percentage overlap [0-1] between successive windows (default 0.2).
win_fun: {‘hann’, ‘tukey’, None}: Optional tapering function to be applied to the input field, generated with pysteps.utils.tapering.compute_window_function() (default ‘tukey’).
fft_method: str or tuple: A string or a (function,kwargs) tuple defining the FFT method to use (see “FFT methods” in pysteps.utils.interface.get_method()). Defaults to “numpy”.