m2cce/internship
m2cce
/
internship
1
Fork 0
Code Issues Activity

Processing reflection coefficient with PUV method

This commit is contained in:
Edgar P. Burkhart 2022-03-03 10:54:09 +01:00
parent e2b495c5a9
commit 588318e4ce
Signed by: edpibu
GPG Key ID: 9833D3C5A25BD227
1 changed files with 25 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
swash/processing/post.py
View File

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