def pwpgo(forcing, params, pwp_out, diagnostics):
"""
This is the main driver of the PWP module.
"""
#unpack some of the variables
#This is not necessary, but I don't want to update all the variable names just yet.
q_in = forcing['q_in']
q_out = forcing['q_out']
emp = forcing['emp']
taux = forcing['tx']
tauy = forcing['ty']
absrb = forcing['absrb']
z = pwp_out['z']
dz = pwp_out['dz']
dt = pwp_out['dt']
zlen = len(z)
tlen = len(pwp_out['time'])
rb = params['rb']
rg = params['rg']
f = params['f']
cpw = params['cpw']
g = params['g']
ucon = params['ucon']
printDragWarning = True
print("Number of time steps: %s" % tlen)
for n in range(1, tlen):
percent_comp = 100 * n / float(tlen)
print('Loop iter. %s (%.1f %%)' % (n, percent_comp))
#select for previous profile data
temp = pwp_out['temp'][:, n - 1]
sal = pwp_out['sal'][:, n - 1]
dens = pwp_out['dens'][:, n - 1]
uvel = pwp_out['uvel'][:, n - 1]
vvel = pwp_out['vvel'][:, n - 1]
### Absorb solar radiation and FWF in surf layer ###
#save initial T,S (may not be necessary)
temp_old = pwp_out['temp'][0, n - 1]
sal_old = pwp_out['sal'][0, n - 1]
#update layer 1 temp and sal
temp[0] = temp[0] + (q_in[n - 1] * absrb[0] -
q_out[n - 1]) * dt / (dz * dens[0] * cpw)
sal[0] = sal[0] / (1 - emp[n - 1] * dt / dz)
#check if temp is less than freezing point
T_fz = sw.fp(sal_old, 1) #why use sal_old? Need to recheck
if temp[0] < T_fz:
temp[0] = T_fz
### Absorb rad. at depth ###
temp[1:] = temp[1:] + q_in[n - 1] * absrb[1:] * dt / (dz * dens[1:] *
cpw)
### compute new density ###
dens = sw.dens0(sal, temp)
### relieve static instability ###
temp, sal, dens, uvel, vvel = remove_si(temp, sal, dens, uvel, vvel)
### Compute MLD ###
#find ml index
ml_thresh = params['mld_thresh']
mld_idx = np.flatnonzero(dens - dens[0] > ml_thresh)[
0] #finds the first index that exceed ML threshold
#check to ensure that ML is defined
assert mld_idx.size is not 0, "Error: Mixed layer depth is undefined."
#get surf MLD
mld = z[mld_idx]
### Rotate u,v do wind input, rotate again, apply mixing ###
ang = -f * dt / 2
uvel, vvel = rot(uvel, vvel, ang)
du = (taux[n - 1] / (mld * dens[0])) * dt
dv = (tauy[n - 1] / (mld * dens[0])) * dt
uvel[:mld_idx] = uvel[:mld_idx] + du
vvel[:mld_idx] = vvel[:mld_idx] + dv
### Apply drag to current ###
#Original comment: this is a horrible parameterization of inertial-internal wave dispersion
if params['drag_ON']:
if ucon > 1e-10:
uvel = uvel * (1 - dt * ucon)
vvel = vvel * (1 - dt * ucon)
else:
if printDragWarning:
print(
"Warning: Parameterization for inertial-internal wave dispersion is turned off."
)
printDragWarning = False
uvel, vvel = rot(uvel, vvel, ang)
### Apply Bulk Richardson number instability form of mixing (as in PWP) ###
if rb > 1e-5:
temp, sal, dens, uvel, vvel = bulk_mix(temp, sal, dens, uvel, vvel,
g, rb, zlen, z, mld_idx)
### Do the gradient Richardson number instability form of mixing ###
if rg > 0:
temp, sal, dens, uvel, vvel = grad_mix(temp, sal, dens, uvel, vvel,
dz, g, rg, zlen)
### Apply diffusion ###
if params['rkz'] > 0:
temp = diffus(params['dstab'], zlen, temp)
sal = diffus(params['dstab'], zlen, sal)
dens = sw.dens0(sal, temp)
uvel = diffus(params['dstab'], zlen, uvel)
vvel = diffus(params['dstab'], zlen, vvel)
### update output profile data ###
pwp_out['temp'][:, n] = temp
pwp_out['sal'][:, n] = sal
pwp_out['dens'][:, n] = dens
pwp_out['uvel'][:, n] = uvel
pwp_out['vvel'][:, n] = vvel
pwp_out['mld'][n] = mld
#do diagnostics
if diagnostics == 1:
phf.livePlots(pwp_out, n)
return pwp_out
def test(fileout='python-test.txt'):
r"""Copy of the Matlab test.
Modifications: Phil Morgan
03-12-12. Lindsay Pender, Converted to ITS-90.
"""
f = open(fileout, 'w')
asterisks = '*' * 76
f.write(asterisks)
f.write('\n TEST REPORT ')
f.write('\n')
f.write('\n SEA WATER LIBRARY %s' % sw.__version__)
f.write('\n')
# Show some info about this Python.
f.write('\npython version: %s' % sys.version)
f.write('\n on %s computer %s' % (uname()[0], uname()[-1]))
f.write('\n')
f.write('\n')
f.write(asctime(localtime()))
f.write('\n')
f.write('\n')
# Test main module ptmp.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: ptmp')
f.write('\n** and SUB-MODULE: adtg')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
# Test 1 - data from Unesco 1983 p45.
T = np.array([[0, 0, 0, 0, 0, 0], [10, 10, 10, 10, 10, 10],
[20, 20, 20, 20, 20, 20], [30, 30, 30, 30, 30, 30],
[40, 40, 40, 40, 40, 40]])
T = T / 1.00024
S = np.array([[25, 25, 25, 35, 35, 35], [25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35], [25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35]])
P = np.array([[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000]])
Pr = np.array([0, 0, 0, 0, 0, 0])
UN_ptmp = np.array([[0, -0.3061, -0.9667, 0, -0.3856, -1.0974],
[10, 9.3531, 8.4684, 10, 9.2906, 8.3643],
[20, 19.0438, 17.9426, 20, 18.9985, 17.8654],
[30, 28.7512, 27.4353, 30, 28.7231, 27.3851],
[40, 38.4607, 36.9254, 40, 38.4498, 36.9023]])
PT = sw.ptmp(S, T, P, Pr) * 1.00024
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p45)')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = S.shape # TODO: so many loops there must be a better way.
for icol in range(0, n):
f.write('\n Sal Temp Press PTMP ptmp')
f.write('\n (psu) (C) (db) (C) (C)\n')
result = np.vstack(
(S[:, icol], T[:, icol], P[:, icol], UN_ptmp[:, icol], PT[:,
icol]))
for iline in range(0, m):
f.write(" %4.0f %4.0f %5.0f %8.4f %11.5f\n" %
tuple(result[:, iline]))
# Test main module svan.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: svan')
f.write('\n** and SUB-MODULE: dens dens0 smow seck pden ptmp')
f.write('\n%s' % asterisks)
# Test data FROM: Unesco Tech. Paper in Marine Sci. No. 44, p22.
s = np.array([0, 0, 0, 0, 35, 35, 35, 35])
p = np.array([0, 10000, 0, 10000, 0, 10000, 0, 10000])
t = np.array([0, 0, 30, 30, 0, 0, 30, 30]) / 1.00024
UN_svan = np.array(
[2749.54, 2288.61, 3170.58, 3147.85, 0.0, 0.00, 607.14, 916.34])
SVAN = sw.svan(s, t, p)
# DISPLAY RESULTS
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\nComparison of accepted values from UNESCO 1983')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p22)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n Sal Temp Press SVAN svan')
f.write('\n (psu) (C) (db) (1e-8*m3/kg) (1e-8*m3/kg)\n')
result = np.vstack([s, t, p, UN_svan, 1e+8 * SVAN])
for iline in range(0, len(SVAN)):
f.write(" %4.0f %4.0f %5.0f %11.2f %11.3f\n" %
tuple(result[:, iline]))
# Test main module salt.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: salt')
f.write('\n** and SUB-MODULE: salrt salrp sals')
f.write('\n%s' % asterisks)
f.write('\n')
# Test 1 - data from Unesco 1983 p9.
R = np.array([1, 1.2, 0.65]) # cndr = R.
T = np.array([15, 20, 5]) / 1.00024
P = np.array([0, 2000, 1500])
#Rt = np.array([ 1, 1.0568875, 0.81705885])
UN_S = np.array([35, 37.245628, 27.995347])
S = sw.salt(R, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n(Unesco Tech. Paper in Marine Sci. No. 44, p9)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n Temp Press R S salt')
f.write('\n (C) (db) (no units) (psu) (psu)\n')
table = np.vstack([T, P, R, UN_S, S])
m, n = table.shape
for iline in range(0, n):
f.write(" %4.0f %4.0f %8.2f %11.6f %14.7f\n" %
tuple(table[:, iline]))
# Test main module cndr.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: cndr')
f.write('\n** and SUB-MODULE: salds')
f.write('\n%s' % asterisks)
# Test 1 - data from Unesco 1983 p9.
T = np.array([0, 10, 0, 10, 10, 30]) / 1.00024
P = np.array([0, 0, 1000, 1000, 0, 0])
S = np.array([25, 25, 25, 25, 40, 40])
UN_R = np.array(
[0.498088, 0.654990, 0.506244, 0.662975, 1.000073, 1.529967])
R = sw.cndr(S, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p14)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
f.write('\n Temp Press S cndr cndr')
f.write('\n (C) (db) (psu) (no units) (no units)\n')
table = np.vstack([T, P, S, UN_R, R])
m, n = table.shape
for iline in range(0, n):
f.write(" %4.0f %4.0f %8.6f %11.6f %14.8f\n" %
tuple(table[:, iline]))
# Test main module depth.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: depth')
f.write('\n%s' % asterisks)
# Test data - matrix "pressure", vector "lat" Unesco 1983 data p30.
lat = np.array([0, 30, 45, 90])
P = np.array([[500, 500, 500, 500], [5000, 5000, 5000, 5000],
[10000, 10000, 10000, 10000]])
UN_dpth = np.array([[496.65, 496.00, 495.34, 494.03],
[4915.04, 4908.56, 4902.08, 4889.13],
[9725.47, 9712.65, 9699.84, 9674.23]])
dpth = sw.dpth(P, lat)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from Unesco 1983 ')
f.write('\n(Unesco Tech. Paper in Marine Sci. No. 44, p28)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
for irow in range(0, 3):
f.write('\n Lat Press DPTH dpth')
f.write('\n (degree) (db) (meter) (meter)\n')
table = np.vstack([lat, P[irow, :], UN_dpth[irow, :], dpth[irow, :]])
m, n = table.shape
for iline in range(0, n):
f.write(" %6.3f %6.0f %8.2f %8.3f\n" %
tuple(table[:, iline]))
# Test main module fp.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: fp')
f.write('\n%s' % asterisks)
# Test 1 - UNESCO data p.30.
S = np.array([[5, 10, 15, 20, 25, 30, 35, 40],
[5, 10, 15, 20, 25, 30, 35, 40]])
P = np.array([[0, 0, 0, 0, 0, 0, 0, 0],
[500, 500, 500, 500, 500, 500, 500, 500]])
UN_fp = np.array(
[[-0.274, -0.542, -0.812, -1.083, -1.358, -1.638, -1.922, -2.212],
[-0.650, -0.919, -1.188, -1.460, -1.735, -2.014, -2.299, -2.589]])
FP = sw.fp(S, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p30)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
for irow in range(0, 2):
f.write('\n Sal Press fp fp')
f.write('\n (psu) (db) (C) (C)\n')
table = np.vstack(
[S[irow, :], P[irow, :], UN_fp[irow, :], FP[irow, :]])
m, n = table.shape
for iline in range(0, n):
f.write(" %4.0f %5.0f %8.3f %11.4f\n" %
tuple(table[:, iline]))
# Test main module cp.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: cp')
f.write('\n%s' % asterisks)
# Test 1.
# Data from Pond and Pickard Intro. Dynamical Oceanography 2nd ed. 1986
T = np.array([[0, 0, 0, 0, 0, 0], [10, 10, 10, 10, 10, 10],
[20, 20, 20, 20, 20, 20], [30, 30, 30, 30, 30, 30],
[40, 40, 40, 40, 40, 40]]) / 1.00024
S = np.array([[25, 25, 25, 35, 35, 35], [25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35], [25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35]])
P = np.array([[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000]])
UN_cp = np.array([[4048.4, 3896.3, 3807.7, 3986.5, 3849.3, 3769.1],
[4041.8, 3919.6, 3842.3, 3986.3, 3874.7, 3804.4],
[4044.8, 3938.6, 3866.7, 3993.9, 3895.0, 3828.3],
[4049.1, 3952.0, 3883.0, 4000.7, 3909.2, 3844.3],
[4051.2, 3966.1, 3905.9, 4003.5, 3923.9, 3868.3]])
CP = sw.cp(S, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p37)')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = S.shape
f.write('\n')
for icol in range(0, n):
f.write('\n Sal Temp Press Cp cp')
f.write('\n (psu) (C) (db) (J/kg.C) (J/kg.C)\n')
result = np.vstack(
[S[:, icol], T[:, icol], P[:, icol], UN_cp[:, icol], CP[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %5.0f %8.1f %11.2f\n" %
tuple(result[:, iline]))
# Test main module svel.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: svel')
f.write('\n%s' % asterisks)
# Test 1.
# Data from Pond and Pickard Intro. Dynamical Oceanography 2nd ed. 1986
T = np.array([[0, 0, 0, 0, 0, 0], [10, 10, 10, 10, 10, 10],
[20, 20, 20, 20, 20, 20], [30, 30, 30, 30, 30, 30],
[40, 40, 40, 40, 40, 40]]) / 1.00024
S = np.array([[25, 25, 25, 35, 35, 35], [25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35], [25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35]])
P = np.array([[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000]])
UN_svel = np.array([[1435.8, 1520.4, 1610.4, 1449.1, 1534.0, 1623.2],
[1477.7, 1561.3, 1647.4, 1489.8, 1573.4, 1659.0],
[1510.3, 1593.6, 1676.8, 1521.5, 1604.5, 1687.2],
[1535.2, 1619.0, 1700.6, 1545.6, 1629.0, 1710.1],
[1553.4, 1638.0, 1719.2, 1563.2, 1647.3, 1727.8]])
SVEL = sw.svel(S, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p50)')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = SVEL.shape
f.write('\n')
for icol in range(0, n):
f.write('\n Sal Temp Press SVEL svel')
f.write('\n (psu) (C) (db) (m/s) (m/s)\n')
result = np.vstack([
S[:, icol], T[:, icol], P[:, icol], UN_svel[:, icol], SVEL[:, icol]
])
for iline in range(0, m):
f.write(" %4.0f %4.0f %5.0f %8.1f %11.3f\n" %
tuple(result[:, iline]))
# Test submodules alpha beta aonb.
f.write('\n%s' % asterisks)
f.write('\n** and SUB-MODULE: alpha beta aonb')
f.write('\n%s' % asterisks)
# Data from McDouogall 1987.
s = 40
PT = 10
p = 4000
beta_lit = 0.72088e-03
aonb_lit = 0.34763
alpha_lit = aonb_lit * beta_lit
BETA = sw.beta(s, PT, p, pt=True)
ALPHA = sw.alpha(s, PT, p, pt=True)
AONB = sw.aonb(s, PT, p, pt=True)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from MCDOUGALL 1987 ')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
f.write('\n Sal Temp Press BETA beta')
f.write('\n (psu) (C) (db) (psu^-1) (psu^-1)\n')
table = np.hstack([s, PT, p, beta_lit, BETA])
f.write(" %4.0f %4.0f %5.0f %11.4e %11.5e\n" % tuple(table))
f.write('\n Sal Temp Press AONB aonb')
f.write('\n (psu) (C) (db) (psu C^-1) (psu C^-1)\n')
table = np.hstack([s, PT, p, aonb_lit, AONB])
f.write(" %4.0f %4.0f %5.0f %8.5f %11.6f\n" % tuple(table))
f.write('\n Sal Temp Press ALPHA alpha')
f.write('\n (psu) (C) (db) (psu^-1) (psu^-1)\n')
table = np.hstack([s, PT, p, alpha_lit, ALPHA])
f.write(" %4.0f %4.0f %5.0f %11.4e %11.4e\n" % tuple(table))
# Test main moduleS satO2 satN2 satAr.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: satO2 satN2 satAr')
f.write('\n%s' % asterisks)
f.write('\n')
# Data from Weiss 1970.
T = np.array([[-1, -1], [10, 10], [20, 20], [40, 40]]) / 1.00024
S = np.array([[20, 40], [20, 40], [20, 40], [20, 40]])
lit_O2 = np.array([[9.162, 7.984], [6.950, 6.121], [5.644, 5.015],
[4.050, 3.656]])
lit_N2 = np.array([[16.28, 14.01], [12.64, 11.01], [10.47, 9.21],
[7.78, 6.95]])
lit_Ar = np.array([[0.4456, 0.3877], [0.3397, 0.2989], [0.2766, 0.2457],
[0.1986, 0.1794]])
O2 = sw.satO2(S, T)
N2 = sw.satN2(S, T)
Ar = sw.satAr(S, T)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from Weiss, R.F. 1979 ')
f.write('\n"The solubility of nitrogen, oxygen and argon in water')
f.write('\n and seawater." Deep-Sea Research., 1970, Vol 17, pp721-735.')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = S.shape
f.write('\n')
for icol in range(0, n):
f.write('\n Sal Temp O2 satO2')
f.write('\n (psu) (C) (ml/l) (ml/l)\n')
result = np.vstack(
[S[:, icol], T[:, icol], lit_O2[:, icol], O2[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %8.2f %9.3f\n" %
tuple(result[:, iline]))
for icol in range(0, n):
f.write('\n Sal Temp N2 satN2')
f.write('\n (psu) (C) (ml/l) (ml/l)\n')
result = np.vstack(
[S[:, icol], T[:, icol], lit_N2[:, icol], N2[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %8.2f %9.3f\n" %
tuple(result[:, iline]))
for icol in range(0, n):
f.write('\n Sal Temp Ar satAr')
f.write('\n (psu) (C) (ml/l) (ml/l)\n')
result = np.vstack(
[S[:, icol], T[:, icol], lit_Ar[:, icol], Ar[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %8.4f %9.4f\n" %
tuple(result[:, iline]))
def pwpgo(forcing, params, pwp_out, diagnostics):
"""
This is the main driver of the PWP module.
"""
#unpack some of the variables (I could probably do this more elegantly)
q_in = forcing['q_in']
q_out = forcing['q_out']
emp = forcing['emp']
taux = forcing['tx']
tauy = forcing['ty']
absrb = forcing['absrb']
z = pwp_out['z']
dz = pwp_out['dz']
dt = pwp_out['dt']
zlen = len(z)
tlen = len(pwp_out['time'])
rb = params['rb']
rg = params['rg']
f = params['f']
cpw = params['cpw']
g = params['g']
ucon = params['ucon']
for n in xrange(1,tlen):
print 'Loop iter. %s' %n
#select for previous profile data
temp = pwp_out['temp'][:, n-1]
sal = pwp_out['sal'][:, n-1]
dens = pwp_out['dens'][:, n-1]
uvel = pwp_out['uvel'][:, n-1]
vvel = pwp_out['vvel'][:, n-1]
### Absorb solar radiation and FWF in surf layer ###
#save initial T,S (may not be necessary)
temp_old = pwp_out['temp'][0, n-1]
sal_old = pwp_out['sal'][0, n-1]
#update layer 1 temp and sal
temp[0] = temp[0] + (q_in[n-1]*absrb[0]-q_out[n-1])*dt/(dz*dens[0]*cpw)
sal[0] = sal[0]/(1-emp[n-1]*dt/dz)
#check if temp is less than freezing point
T_fz = sw.fp(sal_old, 1) #why use sal_old? Need to recheck
if temp[0] < T_fz:
temp[0] = T_fz
### Absorb rad. at depth ###
temp[1:] = temp[1:] + q_in[n-1]*absrb[1:]*dt/(dz*dens[1:]*cpw)
### compute new density ###
dens = sw.dens0(sal, temp)
### relieve static instability ###
temp, sal, dens, uvel, vvel = remove_si(temp, sal, dens, uvel, vvel)
### Compute MLD ###
#find ml index
ml_thresh = params['mld_thresh']
ml_idx = np.flatnonzero(np.diff(dens)>ml_thresh)[0] #finds the first index that exceed ML threshold
ml_idx = ml_idx+1
#check to ensure that ML is defined
assert ml_idx.size is not 0, "Error: Mixed layer depth is undefined."
#get surf MLD
mld = z[ml_idx]
### Rotate u,v do wind input, rotate again, apply mixing ###
ang = -f*dt/2
uvel, vvel = rot(uvel, vvel, ang)
du = (taux[n-1]/(mld*dens[0]))*dt
dv = (tauy[n-1]/(mld*dens[0]))*dt
uvel[:ml_idx] = uvel[:ml_idx]+du
vvel[:ml_idx] = vvel[:ml_idx]+dv
### Apply drag to current ###
#Original comment: this is a horrible parameterization of inertial-internal wave dispersion
if ucon > 1e-10:
uvel = uvel*(1-dt*ucon)
vvel = vvel*(1-dt*ucon)
uvel, vvel = rot(uvel, vvel, ang)
### Apply Bulk Richardson number instability form of mixing (as in PWP) ###
if rb > 1e-5:
temp, sal, dens, uvel, vvel = bulk_mix(temp, sal, dens, uvel, vvel, dz, g, rb, zlen, z, ml_idx)
### Do the gradient Richardson number instability form of mixing ###
if rg > 0:
temp, sal, dens, uvel, vvel = grad_mix(temp, sal, dens, uvel, vvel, dz, g, rg, zlen)
### Apply diffusion ###
if params['rkz'] > 0:
temp = diffus(params['dstab'], zlen, temp)
sal = diffus(params['dstab'], zlen, sal)
dens = sw.dens0(sal, temp)
uvel = diffus(params['dstab'], zlen, uvel)
vvel = diffus(params['dstab'], zlen, vvel)
### update output profile data ###
pwp_out['temp'][:, n] = temp
pwp_out['sal'][:, n] = sal
pwp_out['dens'][:, n] = dens
pwp_out['uvel'][:, n] = uvel
pwp_out['vvel'][:, n] = vvel
pwp_out['mld'][n] = mld
#do diagnostics
if diagnostics==1:
phf.livePlots(pwp_out, n)
return pwp_out
def model_timestep(T,
S,
U,
V,
z,
I,
L,
E,
P,
tau_x,
tau_y,
dt,
nabla_b=None,
Ekman_Q_flux=None,
use_static_stability=True,
use_mixed_layer_stability=True,
use_shear_stability=True,
use_Ekman_flux=False,
use_MLI=False,
tracer=None,
vert_diffusivity=None,
verbose=False,
I1=0.62,
I2=None,
lambda1=.6,
lambda2=20,
T0=0,
S0=34,
rho0=None,
alpha=None,
beta=None,
f=sw.f(40),
return_MLD=False,
advection=False,
l_poly=1e4,
phi=5e-2,
T_cdw=1,
S_cdw=34.5,
shelf_thick=350,
debug=False,
T_out=-1,
S_out=33.8,
return_dTdS=False,
return_TSrelax=False,
return_vel=False):
# define initial variables
c = 4218 # heat capacity (J kg^-1 K^-1)
if I2 is None:
I2 = 1 - I1
if I1 + I2 != 1:
raise Exception('Shortwave insolation amplitudes need to sum to unity')
if rho0 is None:
rho0 = sw.dens(S0, T0, 0)
if alpha is None:
alpha = -sw.alpha(
S0, T0, 0
) * rho0 # multiply by rho to fit into nice equation of state (see get_rho function)
if beta is None:
beta = sw.beta(
S0, T0, 0
) * rho0 # # multiply by rho to fit into nice equation of state (see get_rho function)
dz = z[1] - z[0]
if use_Ekman_flux and Ekman_Q_flux is None:
raise Exception(
'Using Ekman-induced buoyacy flux but no buoyancy gradients were given.'
)
if use_MLI and MLI_flux is None:
raise Exception('Using MLI but no horizontal buoyancy gradient given.')
T = T.copy()
S = S.copy()
U = U.copy()
V = V.copy()
# so don't overwrite data
if tracer is not None:
tracer = tracer.copy()
# make initial heat profile
I_profile = -I / dz * (
I1 * np.exp(-z / lambda1) *
(np.exp(-dz / 2 / lambda1) - np.exp(dz / 2 / lambda1)) +
I2 * np.exp(-z / lambda2) *
(np.exp(-dz / 2 / lambda2) - np.exp(dz / 2 / lambda2)))
L_profile = np.zeros(len(z))
L_profile[0] = L / dz
Q_profile = I_profile + L_profile
if use_Ekman_flux:
A = 0.1 # eddy viscosity m^2 s^-1
z_Ek = np.sqrt(A / np.abs(f))
if verbose:
print('Using Ekman depth of %d m' % z_Ek)
z_Ek_ind = np.where(z > z_Ek)[0][0]
Q_Ek_profile = np.zeros(len(z))
Q_Ek_profile[0:z_Ek_ind] = Ekman_Q_flux / z_Ek * dz
Q_profile += Q_Ek_profile
if advection == True:
Tf = sw.fp(S, z)
#freezing temperature for the column using salinity and pressure
Tf_mean = np.mean(T[51::] - Tf[51::])
#find temperature of no motion
v_profile = ((T - Tf) - Tf_mean) * phi
#create the velocity profile
v_profile[0:50] = 0
#there is no mean advection in the top 25 m
h_interface = (np.abs(v_profile[51::] - 0)).argmin() + 50
#find the depth of the point of no motion
inv_time_length = np.zeros(shape=len(z))
inv_time_length = np.absolute(v_profile) / l_poly
#create 1/tau
#Create the relaxation profiles for S and T
T_relax = np.zeros(shape=len(z))
T_relax = np.tanh((z - z[h_interface]) /
100) * (T_cdw - T_out) / 2 + (T_cdw + T_out) / 2
T_relax[h_interface:len(z)] = T_relax[h_interface:len(z)] + 0.6 * (
(z[h_interface:len(z)] - z[h_interface]) / 1000)
S_relax = np.zeros(shape=len(z))
S_relax = np.tanh((z - z[h_interface]) /
100) * (S_cdw - S_out) / 2 + (S_cdw + S_out) / 2
S_relax[h_interface:len(z)] = S_relax[h_interface:len(z)] + 0.25 * (
(z[h_interface:len(z)] - z[h_interface]) / 1000)
# update temperature
if advection == False:
dTdt = Q_profile / (c * rho0)
else:
dTdt = Q_profile / (c * rho0) + inv_time_length * (T_relax - T)
if debug == True:
print('inv_time_length*(T_relax-T): ',
inv_time_length[0:100] * (T_relax[0:100] - T[0:100]))
if use_MLI:
mld_ind = get_mld_ind(T, S, U, V, z)
mld = z[mld_ind]
C_e = 0.06
g = 9.81
# gravitational acceleration (m s^-2)
c = 4218
# heat capacity (J kg^-1 degC^-1
MLI_dTdt = -C_e * nabla_b**2 * mld**2 * rho0 / (np.abs(f) * alpha * g)
vert_profile = 4 / mld * (1 - 2 * z / mld) * (
16 + 10 *
(1 - 2 * z / mld)**2) / 21 # this is vertical derivative of mu(z)
vert_profile[mld_ind::] = 0
vert_profile[0:mld_ind] -= np.mean(
vert_profile[0:mld_ind]
) # just to ensure that no heat added to system
dTdt += MLI_dTdt * vert_profile
T += dTdt * dt
# update salinity
dSdt_0 = S[0] * (E - P) / dz / 1000
S[0] += dSdt_0 * dt
if advection == True:
dSdt = inv_time_length * (S_relax - S)
S += dSdt * dt
if use_MLI:
rho = get_rho(T, S, T0, S0, rho0, alpha, beta)
half_mld_ind = int(mld_ind / 2)
if np.any(np.diff(rho[half_mld_ind::]) < 0):
if verbose:
print(
'Need to homogenize discontinuity at base of previous mixed layer'
)
# get rid of discontinuity at base of previous mixed layer
# homogenize the region of water from mld/2 to z*
# z* is the shallowest value (> mld/2) such that the homogenized rho <= rho(z*)
zstar_ind = mld_ind.copy()
while np.mean(rho[half_mld_ind:zstar_ind]) >= rho[zstar_ind]:
if verbose:
print('Deepening z*...')
zstar_ind += 1
T[half_mld_ind:zstar_ind] = np.mean(T[half_mld_ind:zstar_ind])
S[half_mld_ind:zstar_ind] = np.mean(S[half_mld_ind:zstar_ind])
if tracer is not None:
tracer[:, half_mld_ind:zstar_ind] = np.atleast_2d(
np.mean(tracer[:, half_mld_ind:zstar_ind], axis=1)).T
elif verbose:
print('No need to homogenize base of previous mixed layer')
# update momentum
# first rotate momentum halfway
angle = -f * dt / 2 # currently assuming this is in rad
U, V = rotate(angle, U, V)
# then add wind stress
mld_ind = get_mld_ind(T, S, U, V, z)
mld = z[mld_ind]
U[0:mld_ind] += tau_x / mld / rho0 * dz * dt
V[0:mld_ind] += tau_y / mld / rho0 * dz * dt
# then rotate second half
U, V = rotate(angle, U, V)
if use_static_stability:
T, S, U, V = static_stability(T, S, U, V, z, T0, S0, rho0, alpha, beta)
if get_mld_ind(T, S, U, V, z) == (T.size - 1):
use_mixed_layer_stability = False
use_shear_stability = False
if use_mixed_layer_stability:
T, S, U, V = mixed_layer_stability(T,
S,
U,
V,
z,
T0,
S0,
rho0,
alpha,
beta,
verbose=verbose)
if use_shear_stability:
T, S, U, V = shear_stability(T,
S,
U,
V,
z,
T0,
S0,
rho0,
alpha,
beta,
verbose=verbose)
if vert_diffusivity is not None:
dTdt_vd = np.zeros(len(T))
dTdt_vd[1:-1] = np.diff(np.diff(T)) / dz**2
T += vert_diffusivity * dTdt_vd * dt
dSdt_vd = np.zeros(len(S))
dSdt_vd[1:-1] = np.diff(np.diff(S)) / dz**2
S += vert_diffusivity * dSdt_vd * dt
dUdt = np.zeros(len(U))
dUdt[1:-1] = np.diff(np.diff(U)) / dz**2
U += vert_diffusivity * dUdt * dt
dVdt = np.zeros(len(V))
dVdt[1:-1] = np.diff(np.diff(V)) / dz**2
V += vert_diffusivity * dVdt * dt
if tracer is not None:
dtdt = np.zeros(shape=tracer.shape)
dtdt[:, 1:-1] = np.diff(np.diff(tracer, axis=1), axis=1) / dz**2
tracer += vert_diffusivity * dtdt * dt
return_variables = (T, S, U, V)
if tracer is not None:
return_variables += (tracer, )
if return_MLD:
return_variables += (get_mld(T, S, U, V, z), )
if return_dTdS:
return_variables += (
dTdt,
dSdt,
)
if return_TSrelax:
return_variables += (
T_relax,
S_relax,
)
if return_vel:
return_variables += (v_profile, )
return return_variables
def test(fileout='python-test.txt'):
r"""Copy of the Matlab test.
Modifications: Phil Morgan
03-12-12. Lindsay Pender, Converted to ITS-90.
"""
f = open(fileout, 'w')
asterisks = '*' * 76
f.write(asterisks)
f.write('\n TEST REPORT ')
f.write('\n')
f.write('\n SEA WATER LIBRARY %s' % sw.__version__)
f.write('\n')
# Show some info about this Python.
f.write('\npython version: %s' % sys.version)
f.write('\n on %s computer %s' % (uname()[0], uname()[-1]))
f.write('\n')
f.write('\n')
f.write(asctime(localtime()))
f.write('\n')
f.write('\n')
# Test main module ptmp.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: ptmp')
f.write('\n** and SUB-MODULE: adtg')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
# Test 1 - data from Unesco 1983 p45.
T = np.array([[0, 0, 0, 0, 0, 0],
[10, 10, 10, 10, 10, 10],
[20, 20, 20, 20, 20, 20],
[30, 30, 30, 30, 30, 30],
[40, 40, 40, 40, 40, 40]])
T = T / 1.00024
S = np.array([[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35]])
P = np.array([[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000]])
Pr = np.array([0, 0, 0, 0, 0, 0])
UN_ptmp = np.array([[0, -0.3061, -0.9667, 0, -0.3856, -1.0974],
[10, 9.3531, 8.4684, 10, 9.2906, 8.3643],
[20, 19.0438, 17.9426, 20, 18.9985, 17.8654],
[30, 28.7512, 27.4353, 30, 28.7231, 27.3851],
[40, 38.4607, 36.9254, 40, 38.4498, 36.9023]])
PT = sw.ptmp(S, T, P, Pr) * 1.00024
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p45)')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = S.shape # TODO: so many loops there must be a better way.
for icol in range(0, n):
f.write('\n Sal Temp Press PTMP ptmp')
f.write('\n (psu) (C) (db) (C) (C)\n')
result = np.vstack((S[:, icol], T[:, icol], P[:, icol],
UN_ptmp[:, icol], PT[:, icol]))
for iline in range(0, m):
f.write(" %4.0f %4.0f %5.0f %8.4f %11.5f\n" %
tuple(result[:, iline]))
# Test main module svan.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: svan')
f.write('\n** and SUB-MODULE: dens dens0 smow seck pden ptmp')
f.write('\n%s' % asterisks)
# Test data FROM: Unesco Tech. Paper in Marine Sci. No. 44, p22.
s = np.array([0, 0, 0, 0, 35, 35, 35, 35])
p = np.array([0, 10000, 0, 10000, 0, 10000, 0, 10000])
t = np.array([0, 0, 30, 30, 0, 0, 30, 30]) / 1.00024
UN_svan = np.array([2749.54, 2288.61, 3170.58, 3147.85,
0.0, 0.00, 607.14, 916.34])
SVAN = sw.svan(s, t, p)
# DISPLAY RESULTS
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\nComparison of accepted values from UNESCO 1983')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p22)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n Sal Temp Press SVAN svan')
f.write('\n (psu) (C) (db) (1e-8*m3/kg) (1e-8*m3/kg)\n')
result = np.vstack([s, t, p, UN_svan, 1e+8 * SVAN])
for iline in range(0, len(SVAN)):
f.write(" %4.0f %4.0f %5.0f %11.2f %11.3f\n" %
tuple(result[:, iline]))
# Test main module salt.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: salt')
f.write('\n** and SUB-MODULE: salrt salrp sals')
f.write('\n%s' % asterisks)
f.write('\n')
# Test 1 - data from Unesco 1983 p9.
R = np.array([1, 1.2, 0.65]) # cndr = R.
T = np.array([15, 20, 5]) / 1.00024
P = np.array([0, 2000, 1500])
#Rt = np.array([ 1, 1.0568875, 0.81705885])
UN_S = np.array([35, 37.245628, 27.995347])
S = sw.salt(R, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n(Unesco Tech. Paper in Marine Sci. No. 44, p9)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n Temp Press R S salt')
f.write('\n (C) (db) (no units) (psu) (psu)\n')
table = np.vstack([T, P, R, UN_S, S])
m, n = table.shape
for iline in range(0, n):
f.write(" %4.0f %4.0f %8.2f %11.6f %14.7f\n" %
tuple(table[:, iline]))
# Test main module cndr.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: cndr')
f.write('\n** and SUB-MODULE: salds')
f.write('\n%s' % asterisks)
# Test 1 - data from Unesco 1983 p9.
T = np.array([0, 10, 0, 10, 10, 30]) / 1.00024
P = np.array([0, 0, 1000, 1000, 0, 0])
S = np.array([25, 25, 25, 25, 40, 40])
UN_R = np.array([0.498088, 0.654990, 0.506244, 0.662975, 1.000073,
1.529967])
R = sw.cndr(S, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p14)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
f.write('\n Temp Press S cndr cndr')
f.write('\n (C) (db) (psu) (no units) (no units)\n')
table = np.vstack([T, P, S, UN_R, R])
m, n = table.shape
for iline in range(0, n):
f.write(" %4.0f %4.0f %8.6f %11.6f %14.8f\n" %
tuple(table[:, iline]))
# Test main module depth.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: depth')
f.write('\n%s' % asterisks)
# Test data - matrix "pressure", vector "lat" Unesco 1983 data p30.
lat = np.array([0, 30, 45, 90])
P = np.array([[500, 500, 500, 500],
[5000, 5000, 5000, 5000],
[10000, 10000, 10000, 10000]])
UN_dpth = np.array([[496.65, 496.00, 495.34, 494.03],
[4915.04, 4908.56, 4902.08, 4889.13],
[9725.47, 9712.65, 9699.84, 9674.23]])
dpth = sw.dpth(P, lat)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from Unesco 1983 ')
f.write('\n(Unesco Tech. Paper in Marine Sci. No. 44, p28)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
for irow in range(0, 3):
f.write('\n Lat Press DPTH dpth')
f.write('\n (degree) (db) (meter) (meter)\n')
table = np.vstack([lat, P[irow, :], UN_dpth[irow, :], dpth[irow, :]])
m, n = table.shape
for iline in range(0, n):
f.write(" %6.3f %6.0f %8.2f %8.3f\n" %
tuple(table[:, iline]))
# Test main module fp.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: fp')
f.write('\n%s' % asterisks)
# Test 1 - UNESCO data p.30.
S = np.array([[5, 10, 15, 20, 25, 30, 35, 40],
[5, 10, 15, 20, 25, 30, 35, 40]])
P = np.array([[0, 0, 0, 0, 0, 0, 0, 0],
[500, 500, 500, 500, 500, 500, 500, 500]])
UN_fp = np.array([[-0.274, -0.542, -0.812, -1.083, -1.358, -1.638, -1.922,
-2.212], [-0.650, -0.919, -1.188, -1.460, -1.735,
-2.014, -2.299, -2.589]])
FP = sw.fp(S, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p30)')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
for irow in range(0, 2):
f.write('\n Sal Press fp fp')
f.write('\n (psu) (db) (C) (C)\n')
table = np.vstack([S[irow, :], P[irow, :], UN_fp[irow, :],
FP[irow, :]])
m, n = table.shape
for iline in range(0, n):
f.write(" %4.0f %5.0f %8.3f %11.4f\n" %
tuple(table[:, iline]))
# Test main module cp.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: cp')
f.write('\n%s' % asterisks)
# Test 1.
# Data from Pond and Pickard Intro. Dynamical Oceanography 2nd ed. 1986
T = np.array([[0, 0, 0, 0, 0, 0],
[10, 10, 10, 10, 10, 10],
[20, 20, 20, 20, 20, 20],
[30, 30, 30, 30, 30, 30],
[40, 40, 40, 40, 40, 40]]) / 1.00024
S = np.array([[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35]])
P = np.array([[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000]])
UN_cp = np.array([[4048.4, 3896.3, 3807.7, 3986.5, 3849.3, 3769.1],
[4041.8, 3919.6, 3842.3, 3986.3, 3874.7, 3804.4],
[4044.8, 3938.6, 3866.7, 3993.9, 3895.0, 3828.3],
[4049.1, 3952.0, 3883.0, 4000.7, 3909.2, 3844.3],
[4051.2, 3966.1, 3905.9, 4003.5, 3923.9, 3868.3]])
CP = sw.cp(S, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p37)')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = S.shape
f.write('\n')
for icol in range(0, n):
f.write('\n Sal Temp Press Cp cp')
f.write('\n (psu) (C) (db) (J/kg.C) (J/kg.C)\n')
result = np.vstack([S[:, icol], T[:, icol], P[:, icol],
UN_cp[:, icol], CP[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %5.0f %8.1f %11.2f\n" %
tuple(result[:, iline]))
# Test main module svel.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: svel')
f.write('\n%s' % asterisks)
# Test 1.
# Data from Pond and Pickard Intro. Dynamical Oceanography 2nd ed. 1986
T = np.array([[0, 0, 0, 0, 0, 0],
[10, 10, 10, 10, 10, 10],
[20, 20, 20, 20, 20, 20],
[30, 30, 30, 30, 30, 30],
[40, 40, 40, 40, 40, 40]]) / 1.00024
S = np.array([[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35],
[25, 25, 25, 35, 35, 35]])
P = np.array([[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000],
[0, 5000, 10000, 0, 5000, 10000]])
UN_svel = np.array([[1435.8, 1520.4, 1610.4, 1449.1, 1534.0, 1623.2],
[1477.7, 1561.3, 1647.4, 1489.8, 1573.4, 1659.0],
[1510.3, 1593.6, 1676.8, 1521.5, 1604.5, 1687.2],
[1535.2, 1619.0, 1700.6, 1545.6, 1629.0, 1710.1],
[1553.4, 1638.0, 1719.2, 1563.2, 1647.3, 1727.8]])
SVEL = sw.svel(S, T, P)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from UNESCO 1983 ')
f.write('\n (Unesco Tech. Paper in Marine Sci. No. 44, p50)')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = SVEL.shape
f.write('\n')
for icol in range(0, n):
f.write('\n Sal Temp Press SVEL svel')
f.write('\n (psu) (C) (db) (m/s) (m/s)\n')
result = np.vstack([S[:, icol], T[:, icol], P[:, icol],
UN_svel[:, icol], SVEL[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %5.0f %8.1f %11.3f\n" %
tuple(result[:, iline]))
# Test submodules alpha beta aonb.
f.write('\n%s' % asterisks)
f.write('\n** and SUB-MODULE: alpha beta aonb')
f.write('\n%s' % asterisks)
# Data from McDouogall 1987.
s = 40
PT = 10
p = 4000
beta_lit = 0.72088e-03
aonb_lit = 0.34763
alpha_lit = aonb_lit * beta_lit
BETA = sw.beta(s, PT, p, pt=True)
ALPHA = sw.alpha(s, PT, p, pt=True)
AONB = sw.aonb(s, PT, p, pt=True)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from MCDOUGALL 1987 ')
f.write('\n%s' % asterisks)
f.write('\n')
f.write('\n')
f.write('\n Sal Temp Press BETA beta')
f.write('\n (psu) (C) (db) (psu^-1) (psu^-1)\n')
table = np.hstack([s, PT, p, beta_lit, BETA])
f.write(" %4.0f %4.0f %5.0f %11.4e %11.5e\n" %
tuple(table))
f.write('\n Sal Temp Press AONB aonb')
f.write('\n (psu) (C) (db) (psu C^-1) (psu C^-1)\n')
table = np.hstack([s, PT, p, aonb_lit, AONB])
f.write(" %4.0f %4.0f %5.0f %8.5f %11.6f\n" %
tuple(table))
f.write('\n Sal Temp Press ALPHA alpha')
f.write('\n (psu) (C) (db) (psu^-1) (psu^-1)\n')
table = np.hstack([s, PT, p, alpha_lit, ALPHA])
f.write(" %4.0f %4.0f %5.0f %11.4e %11.4e\n" %
tuple(table))
# Test main moduleS satO2 satN2 satAr.
f.write('\n%s' % asterisks)
f.write('\n** TESTING MODULE: satO2 satN2 satAr')
f.write('\n%s' % asterisks)
f.write('\n')
# Data from Weiss 1970.
T = np.array([[-1, -1],
[10, 10],
[20, 20],
[40, 40]]) / 1.00024
S = np.array([[20, 40],
[20, 40],
[20, 40],
[20, 40]])
lit_O2 = np.array([[9.162, 7.984],
[6.950, 6.121],
[5.644, 5.015],
[4.050, 3.656]])
lit_N2 = np.array([[16.28, 14.01],
[12.64, 11.01],
[10.47, 9.21],
[7.78, 6.95]])
lit_Ar = np.array([[0.4456, 0.3877],
[0.3397, 0.2989],
[0.2766, 0.2457],
[0.1986, 0.1794]])
O2 = sw.satO2(S, T)
N2 = sw.satN2(S, T)
Ar = sw.satAr(S, T)
# Display results.
f.write('\n')
f.write('\n%s' % asterisks)
f.write('\nComparison of accepted values from Weiss, R.F. 1979 ')
f.write('\n"The solubility of nitrogen, oxygen and argon in water')
f.write('\n and seawater." Deep-Sea Research., 1970, Vol 17, pp721-735.')
f.write('\n%s' % asterisks)
f.write('\n')
m, n = S.shape
f.write('\n')
for icol in range(0, n):
f.write('\n Sal Temp O2 satO2')
f.write('\n (psu) (C) (ml/l) (ml/l)\n')
result = np.vstack([S[:, icol], T[:, icol],
lit_O2[:, icol], O2[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %8.2f %9.3f\n" %
tuple(result[:, iline]))
for icol in range(0, n):
f.write('\n Sal Temp N2 satN2')
f.write('\n (psu) (C) (ml/l) (ml/l)\n')
result = np.vstack([S[:, icol], T[:, icol],
lit_N2[:, icol], N2[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %8.2f %9.3f\n" %
tuple(result[:, iline]))
for icol in range(0, n):
f.write('\n Sal Temp Ar satAr')
f.write('\n (psu) (C) (ml/l) (ml/l)\n')
result = np.vstack([S[:, icol], T[:, icol],
lit_Ar[:, icol], Ar[:, icol]])
for iline in range(0, m):
f.write(" %4.0f %4.0f %8.4f %9.4f\n" %
tuple(result[:, iline]))
