Hello everyone,

I was trying to generate time series from a spectrum. In particular, i am generating wave elevation in time domain from PM spectrum (Pierson Moskowitz). In order to verify that i generate the correct time series, i should reconstruct the spectrum from the time series i have generated.

Please give your opinion regarding the reconstructed spectrum in comparison with the initial PM spectrum.

Here a figure for the time series generated from PM:

Here a comparison between the reconstructed spectrum and Pm spectrum:

I was thinking of a normalization problem.

Best Regards,

Riad

Dear @Riad.Elhamoud,

A few clarifying comments/questions:

- Are you using the HydroDyn module of OpenFAST to generate the wave elevation time series from the PM spectra?
- Are you randomizing both the amplitude and phase of each wave component about the target PM spectra (
`WaveNDAmp`

= True in HydroDyn) or are you just randomizing the phase of each wave component, using the amplitude from the target PM spectra (`WaveNDAmp`

= False) in HydroDyn.
- Are you resampling the data in any way or are the time step/length and frequency step/length consistent?

Best regards,

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Dear @Riad.Elhamoud,

It is hard to offer much help when you are not using NREL tools, but I would generally say that if you using FFT-based methods, that the time step/length (dt/tmax) and frequency step/length (df/fmax) are interrelated. That is:

df = 1/tmax

fmax = 1/(2*dt)

Best regards,

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