Processing reflection coefficient with PUV method
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1 changed files with 25 additions and 5 deletions
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@ -4,6 +4,7 @@ import pathlib
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import scipy.signal as sgl
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from .read_swash import *
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@ -17,20 +18,39 @@ root = pathlib.Path(config.get("swash", "out"))
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bathy = pd.read_hdf(cache.joinpath("bathy.h5"), "bathy")
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n = bathy.index.size
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# xp = read_nohead_scalar(root.joinpath("xp.dat"), n)
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botl = read_nohead_scalar(root.joinpath("botl.dat"), n)
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dep = np.maximum(0, read_nohead_scalar(root.joinpath("dep.dat"), n))
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vel = read_nohead_vect(root.joinpath("vel.dat"), n)
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# watl = read_nohead_scalar(root.joinpath("watl.dat"), n)
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n_t = botl.shape[0]
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# Cospectral calculations
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pos_x = n//10
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eta = (dep - botl)[n_t//2:, pos_x]
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u = vel[n_t//2:, 0, pos_x]
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phi_eta = np.abs(sgl.csd(eta, eta)[1])
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phi_u = np.abs(sgl.csd(u, u)[1])
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phi_eta_u = np.abs(sgl.csd(eta, u)[1])
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R = np.sqrt((phi_eta + phi_u - 2*phi_eta_u)/(phi_eta + phi_u + 2*phi_eta_u))
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# Plotting
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fig, (ax_dep, ax_vel) = plt.subplots(2)
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ax_dep.plot((dep - botl)[:, n//2], label="dep", color="#0066ff")
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ax_dep.plot((dep - botl)[:, pos_x], label="dep", color="#0066ff")
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ax_dep.set(xlabel="t (s)", ylabel="z (m)")
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ax_vel.plot(vel[:, 0, n//2], label="vel")
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ax_vel.plot(vel[:, 0, pos_x], label="vel")
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ax_vel.set(xlabel="t (s)", ylabel="U (m/s)")
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fig.tight_layout()
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#fig.legend()
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fig_r, ax_r = plt.subplots()
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ax_r.plot(R)
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ax_r.set(ylim=(0,1))
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ax_r.grid()
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plt.show(block=True)
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