I am trying to reconstruct the astronomical tide time series from harmonic constituents (calculated from T_Tide).I am using the equation that all knows H(t) = Amplitude * cos ( t * harmonicSpeed + phase lag), I wrote my script in python. The output is not matching with the tide predicction (from the T_Tide file). As you know the construction is very simple but I am thinking that my problem is about the sampling interval, I really don´t know how to interpret it for this case, I wrote 1/24 due to the input time (for calculating in T_TIDE , hourly data), I am not sure about this.
I share the harmonic constants file from T_Tide and the tide predicction values file (hourly , which I want to reproduce). They are https://github.com/feraxel/Harmonic-constans/commit/fb11b9ef9909b03e722978ccfa102fc7b9fd1f01#diff-09639ac17104196efd895598afe1af5234cbb5bcac39070e4a3d9133c611a4ea and https://github.com/feraxel/Harmonic-constans/commit/1e46d1d416c49ef131005d8fa68775f9169c0270#diff-545b5ec39a1b72b56fa5e37c33afb30a3c3c39ba0e6fe1d583b4a1d77e9fc74a
os.chdir(r'directory') # change the file.txt directory con = pd.read_csv('harmonics_aca.txt',sep=' ') # We load the harmonic constants
We create a datetime vector for concatenate to the constructed tide
date = pd.date_range(start='01/02/2018 22:00:00', end='05/30/2022 15:00:00',freq='H') datetime = pd.DataFrame({'Fecha':date}) tide = 0 H = [] # This vector save the tide for the t time dt = 1/24 #####Sampling interval for t in np.arange(0,len(fecha)*dt,dt): Am = con.iloc[i,2] # Harmonic constituent amplitude Ph = np.deg2rad(con.iloc[i,4]) # Harmonic constituent phase Fr = (con.iloc[i,1]*2*np.pi) # Frecuency (1/Hours)*2*pi level = Am*np.cos(Fr*t - Ph) tide = tide+level H.append(tide) tide = 0