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wind_surf_buoy_compare.py
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wind_surf_buoy_compare.py
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import Meteoframes as mf
import numpy as np
import pandas as pd
def plot(case=None):
if case == 11:
print('No buoy data for case 11\n')
return 0
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
f1, f2 = get_files(case)
surf = get_surf(f1)
buoy = get_buoy(f2, surf.index)
fig, ax = plt.subplots(2, 1, sharex=True)
ax0, ax1 = ax
ax0.plot(surf.U, label='surf')
ax0.plot(buoy.U, label='buoy')
ax0.text(0.05, 0.9, 'U-comp', weight='bold', transform=ax0.transAxes)
ctxt = 'Case '+str(case)
ax0.text(0.8, 0.9, ctxt, transform=ax0.transAxes)
ax1.plot(surf.V, label='surf')
ax1.plot(buoy.V, label='buoy')
ax1.text(0.05, 0.9, 'V-comp', weight='bold', transform=ax1.transAxes)
ax1.invert_xaxis()
fmt = mdates.DateFormatter('%d\n%H')
ax1.xaxis.set_major_formatter(fmt)
plt.legend(loc=0)
plt.show(block=False)
def scatter(case=None):
if case == 11:
print('No buoy data for case 11\n')
return 0
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from scipy.stats import linregress
f1, f2 = get_files(case)
surf = get_surf(f1)
buoy = get_buoy(f2, surf.index)
res1 = linregress(surf.U.values, buoy.U.values)
res2 = linregress(surf.V.values, buoy.V.values)
stxt1 = 'Rsq: {:3.2f}\np-value: {:4.3f}'.format(
np.round(res1[2]**2, 2), res1[3])
stxt2 = 'Rsq: {:3.2f}\np-value: {:4.3f}'.format(
np.round(res2[2]**2, 2), res2[3])
print('interpU: {}, coefU: {}'.format(
np.round(res1[1], 2), np.round(res1[0], 2)))
print('interpV: {}, coefV: {}'.format(
np.round(res2[1], 2), np.round(res2[0], 2)))
fig, ax = plt.subplots(1, 2, figsize=(10, 5))
ax0, ax1 = ax
ax0.scatter(surf.U, buoy.U)
ax0.plot([-10, 11], [-10, 11], color=(0.5, 0.5, 0.5), ls='--')
x = np.arange(-10, 11)
ax0.plot(x, res1[1]+(res1[0]*x), color=(1, 0, 0), ls='-')
ax0.text(0.05, 0.9, 'U-comp', weight='bold', transform=ax0.transAxes)
ax0.text(0.05, 0.8, stxt1, weight='bold', transform=ax0.transAxes)
ax0.set_xlim([-10, 10])
ax0.set_ylim([-10, 10])
ax0.set_xlabel('surface wind [ms-1]')
ax0.set_ylabel('buoy wind [ms-1]')
ax0.set(aspect='equal')
ax1.scatter(surf.V, buoy.V)
ax1.plot([-1, 16], [-1, 16], color=(0.5, 0.5, 0.5), ls='--')
x = np.arange(-1, 16)
ax1.plot(x, res2[1]+(res2[0]*x), color=(1, 0, 0), ls='-')
ax1.text(0.05, 0.9, 'V-comp', weight='bold', transform=ax1.transAxes)
ax1.text(0.05, 0.8, stxt2, weight='bold', transform=ax1.transAxes)
ax1.set_xlim([-1, 15])
ax1.set_ylim([-1, 15])
ax1.set_xlabel('surface wind [ms-1]')
ax1.set_ylabel('buoy wind [ms-1]')
ax1.set(aspect='equal')
ctxt = 'Case {}\nBeg: {}\nEnd: {}'
tbeg = surf.iloc[0].name
tend = surf.iloc[-1].name
plt.suptitle(ctxt.format(str(case), tbeg, tend))
plt.show(block=False)
def get_surf(f=None):
surf = mf.parse_surface(f)
sucomp = -surf.wspd * np.sin(np.radians(surf.wdir))
svcomp = -surf.wspd * np.cos(np.radians(surf.wdir))
surf['U'] = sucomp
surf['V'] = svcomp
surf.drop(surf.columns[[0, 1, 2, 5, 6, 7, 8, 9, 10]], axis=1, inplace=True)
g = pd.TimeGrouper('10T')
surfU = surf.U.groupby(g).mean()
surfV = surf.V.groupby(g).mean()
surf10 = pd.DataFrame(data={'U': surfU, 'V': surfV})
return surf10
def get_buoy(f=None, target_index=None):
buoy = mf.parse_buoy(f)
bucomp = -buoy.SPD * np.sin(np.radians(buoy.DIR))
bvcomp = -buoy.SPD * np.cos(np.radians(buoy.DIR))
buoy['U'] = bucomp
buoy['V'] = bvcomp
buoy.drop(buoy.columns[[0, 1, 2, 3, 4]], axis=1, inplace=True)
buoy = buoy.loc[target_index]
return buoy
def get_files(case=None):
import os
homed = os.path.expanduser('~')
string1 = homed + '/SURFACE/case{}/{}'
string2 = homed + '/BUOY/case{}/{}'
fname1 = {
8: 'bby03012.met',
9: 'bby03022.met',
10: 'bby03046.met',
11: 'bby04009.met',
12: 'bby04033.met',
13: 'bby04047.met',
14: 'bby04056.met'
}
fname2 = {
8: '46013c2003.txt',
9: '46013c2003.txt',
10: '46013c2003.txt',
11: '46013c2004.txt',
12: '46013c2004.txt',
13: '46013c2004.txt',
14: '46013c2004.txt'
}
f1 = string1.format(str(case).zfill(2), fname1[case])
f2 = string2.format(str(case).zfill(2), fname2[case])
return f1, f2