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Commit beaf5d64 authored by sbiri's avatar sbiri
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AirSeaFluxCode.py updated with more options for the cool skin correction... 

AirSeaFluxCode.py updated with more options for the cool skin correction functions and a warm layer correction function
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AirSeaFluxCode.py
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import numpy as np
import logging
from get_init import get_init
from hum_subs import (get_hum)
from hum_subs import (get_hum, gamma_moist)
from util_subs import (kappa, CtoK, get_heights)
from flux_subs import (get_skin, get_gust, get_L, get_strs, psim_calc,
from flux_subs import (cs_C35, cs_Beljaars, cs_ecmwf, wl_ecmwf,
get_gust, get_L, get_strs, psim_calc,
psit_calc, cdn_calc, cd_calc, ctcq_calc, ctcqn_calc)
def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
hin=18, hout=10, Rl=None, Rs=None, cskin=None,
gust=None, meth="S80", qmeth="Buck2", tol=None, n=10,
out=0, L=None):
""" Calculates momentum and heat fluxes using different parameterizations
def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None, hin=18, hout=10,
Rl=None, Rs=None, cskin=None, skin="C35", wl=0, gust=None,
meth="S80", qmeth="Buck2", tol=None, n=10, out=0, L=None):
"""
Calculates turbulent surface fluxes using different parameterizations
Calculates height adjusted values for spd, T, q
Parameters
----------
......@@ -42,15 +45,20 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
cskin : int
0 switch cool skin adjustment off, else 1
default is 1
skin : str
cool skin method option "C35", "ecmwf" or "Beljaars"
wl : int
warm layer correction default is 0, to switch on set to 1
gust : int
3x1 [x, beta, zi] x=1 to include the effect of gustiness, else 0
beta gustiness parameter, beta=1 for UA, beta=1.2 for COARE
zi PBL height (m) 600 for COARE, 1000 for UA and ERA5, 800 default
zi PBL height (m) 600 for COARE, 1000 for UA and ecmwf, 800 default
default for COARE [1, 1.2, 600]
default for UA, ERA5 [1, 1, 1000]
default for UA, ecmwf [1, 1, 1000]
default else [1, 1.2, 800]
meth : str
"S80","S88","LP82","YT96","UA","LY04","C30","C35","C40","ERA5"
"S80", "S88", "LP82", "YT96", "UA", "LY04", "C30", "C35", "C40",
"ecmwf", "Beljaars"
qmeth : str
is the saturation evaporation method to use amongst
"HylandWexler","Hardy","Preining","Wexler","GoffGratch","WMO",
......@@ -62,24 +70,25 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
option : 'flux' to set tolerance limits for fluxes only lim1-3
option : 'ref' to set tolerance limits for height adjustment lim-1-3
option : 'all' to set tolerance limits for both fluxes and height
adjustment lim1-6 ['all', 0.01, 0.01, 5e-05, 0.01, 1, 1]
default is tol=['flux', 0.01, 1, 1]
adjustment lim1-6 ['all', 0.01, 0.01, 5e-05, 1e-3, 0.1, 0.1]
default is tol=['flux', 1e-3, 0.1, 0.1]
n : int
number of iterations (defautl = 10)
out : int
set 0 to set points that have not converged to missing (default)
set 1 to keep points
L : int
L : str
Monin-Obukhov length definition options
"S80" : default for S80, S88, LP82, YT96 and LY04
"ERA5" : following ERA5 (IFS Documentation cy46r1), default for ERA5
"ecmwf" : following ecmwf (IFS Documentation cy46r1), default for
ecmwf
Returns
-------
res : array that contains
1. momentum flux (N/m^2)
2. sensible heat (W/m^2)
3. latent heat (W/m^2)
4. Monin-Obhukov length (m)
4. Monin-Obhukov length (mb)
5. drag coefficient (cd)
6. neutral drag coefficient (cdn)
7. heat exhange coefficient (ct)
......@@ -106,22 +115,24 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
28. number of iterations until convergence
29. cool-skin temperature depression (dter)
30. cool-skin humidity depression (dqer)
31. specific humidity of air (qair)
32. specific humidity at sea surface (qsea)
33. downward longwave radiation (Rl)
34. downward shortwave radiation (Rs)
35. downward net longwave radiation (Rnl)
31. warm layer correction (dtwl)
32. specific humidity of air (qair)
33. specific humidity at sea surface (qsea)
34. downward longwave radiation (Rl)
35. downward shortwave radiation (Rs)
36. downward net longwave radiation (Rnl)
2020 / Author S. Biri
2021 / Author S. Biri
"""
logging.basicConfig(filename='flux_calc.log',
format='%(asctime)s %(message)s',level=logging.INFO)
logging.captureWarnings(True)
# check input values and set defaults where appropriate
lat, P, Rl, Rs, cskin, gust, tol, L = get_init(spd, T, SST, lat, P, Rl, Rs,
cskin, gust, L, tol, meth,
qmeth)
ref_ht, tlapse = 10, 0.0098 # reference height, lapse rate
lat, P, Rl, Rs, cskin, skin, wl, gust, tol, L = get_init(spd, T, SST, lat,
P, Rl, Rs, cskin,
skin, wl, gust, L,
tol, meth, qmeth)
ref_ht = 10 # reference height
h_in = get_heights(hin, len(spd)) # heights of input measurements/fields
h_out = get_heights(hout, 1) # desired height of output variables
logging.info('method %s, inputs: lat: %s | P: %s | Rl: %s |'
......@@ -132,20 +143,22 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
th = np.where(T < 200, (np.copy(T)+CtoK) *
np.power(1000/P,287.1/1004.67),
np.copy(T)*np.power(1000/P,287.1/1004.67)) # potential T
Ta = np.where(T < 200, np.copy(T)+CtoK+tlapse*h_in[1],
np.copy(T)+tlapse*h_in[1]) # convert to Kelvin if needed
sst = np.where(SST < 200, np.copy(SST)+CtoK, np.copy(SST))
qair, qsea = get_hum(hum, T, sst, P, qmeth)
#lapse rate
tlapse = gamma_moist(SST, T, qair/1000)
Ta = np.where(T < 200, np.copy(T)+CtoK+tlapse*h_in[1],
np.copy(T)+tlapse*h_in[1]) # convert to Kelvin if needed
logging.info('method %s and q method %s | qsea:%s, qair:%s', meth, qmeth,
np.nanmedian(qsea), np.nanmedian(qair))
if (np.all(np.isnan(qsea)) or np.all(np.isnan(qair))):
print("qsea and qair cannot be nan")
# tlapse = gamma_moist(SST, T, qair/1000) lapse rate can be computed like this
dt = Ta - sst
dq = qair - qsea
# first guesses
t10n, q10n = np.copy(Ta), np.copy(qair)
tv10n = t10n*(1 + 0.61*q10n)
tv10n = t10n*(1+0.61*q10n)
# Zeng et al. 1998
tv=th*(1.+0.61*qair) # virtual potential T
dtv=dt*(1.+0.61*qair)+0.61*th*dq
......@@ -154,7 +167,6 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
lv = (2.501-0.00237*(sst-CtoK))*1e6
cp = 1004.67*(1 + 0.00084*qsea)
u10n = np.copy(spd)
monob = -100*np.ones(spd.shape)
cdn = cdn_calc(u10n, Ta, None, lat, meth)
ctn, ct, cqn, cq = (np.zeros(spd.shape)*np.nan, np.zeros(spd.shape)*np.nan,
np.zeros(spd.shape)*np.nan, np.zeros(spd.shape)*np.nan)
......@@ -165,9 +177,12 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
qsr = np.zeros(spd.shape)
# cskin parameters
tkt = 0.001*np.ones(T.shape)
Rnl = 0.97*(5.67e-8*np.power(sst-0.3*cskin+CtoK, 4)-Rl)
dter = np.ones(T.shape)*0.3
dqer = dter*0.622*lv*qsea/(287.1*np.power(sst, 2))
Rnl = 0.97*(5.67e-8*np.power(sst-0.3*cskin, 4)-Rl)
Qs = 0.945*Rs
dtwl = np.ones(T.shape)*0.3
skt = np.copy(sst)
# gustiness adjustment
if (gust[0] == 1 and meth == "UA"):
wind = np.where(dtv >= 0, np.where(spd > 0.1, spd, 0.1),
......@@ -181,7 +196,7 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
zo = 0.0001*np.ones(spd.shape)
zot, zoq = 0.0001*np.ones(spd.shape), 0.0001*np.ones(spd.shape)
monob = -100*np.ones(spd.shape) # Monin-Obukhov length
tsr = (dt+dter*cskin)*kappa/(np.log(h_in[1]/zot) -
tsr = (dt+dter*cskin-dtwl*wl)*kappa/(np.log(h_in[1]/zot) -
psit_calc(h_in[1]/monob, meth))
qsr = (dq+dqer*cskin)*kappa/(np.log(h_in[2]/zoq) -
psit_calc(h_in[2]/monob, meth))
......@@ -224,16 +239,66 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
usr[ind], tsr[ind], qsr[ind] = get_strs(h_in[:, ind], monob[ind],
wind[ind], zo[ind], zot[ind],
zoq[ind], dt[ind], dq[ind],
dter[ind], dqer[ind], ct[ind],
cq[ind], cskin, meth)
if (cskin == 1):
dter[ind], dqer[ind], tkt[ind] = get_skin(sst[ind], qsea[ind],
rho[ind], Rl[ind],
Rs[ind], Rnl[ind],
dter[ind], dqer[ind], dtwl[ind],
ct[ind], cq[ind], cskin, wl,
meth)
if ((cskin == 1) and (wl == 0)):
if (skin == "C35"):
dter[ind], dqer[ind], tkt[ind] = cs_C35(sst[ind], qsea[ind],
rho[ind], Rs[ind],
Rnl[ind],
cp[ind], lv[ind],
np.copy(tkt[ind]),
usr[ind], tsr[ind],
qsr[ind], lat[ind])
elif (skin == "ecmwf"):
dter[ind] = cs_ecmwf(rho[ind], Rs[ind], Rnl[ind], cp[ind],
lv[ind], usr[ind], tsr[ind], qsr[ind],
sst[ind], lat[ind])
dqer[ind] = (dter[ind]*0.622*lv[ind]*qsea[ind] /
(287.1*np.power(sst[ind], 2)))
elif (skin == "Beljaars"):
Qs[ind], dter[ind] = cs_Beljaars(rho[ind], Rs[ind], Rnl[ind],
cp[ind], lv[ind], usr[ind],
tsr[ind], qsr[ind], lat[ind],
np.copy(Qs[ind]))
dqer = dter*0.622*lv*qsea/(287.1*np.power(sst, 2))
elif ((cskin == 1) and (wl == 1)):
if (skin == "C35"):
dter[ind], dqer[ind], tkt[ind] = cs_C35(sst[ind], qsea[ind],
rho[ind], Rs[ind],
Rnl[ind],
cp[ind], lv[ind],
np.copy(tkt[ind]),
usr[ind], tsr[ind],
qsr[ind], lat[ind])
dtwl[ind] = wl_ecmwf(rho[ind], Rs[ind], Rnl[ind], cp[ind],
lv[ind], usr[ind], tsr[ind], qsr[ind],
np.copy(sst[ind]), np.copy(skt[ind]),
np.copy(dter[ind]), lat[ind])
skt = np.copy(sst)-dter+dtwl
elif (skin == "ecmwf"):
dter[ind] = cs_ecmwf(rho[ind], Rs[ind], Rnl[ind], cp[ind],
lv[ind], usr[ind], tsr[ind], qsr[ind],
sst[ind], lat[ind])
dtwl[ind] = wl_ecmwf(rho[ind], Rs[ind], Rnl[ind], cp[ind],
lv[ind], usr[ind], tsr[ind], qsr[ind],
np.copy(sst[ind]), np.copy(skt[ind]),
np.copy(dter[ind]), lat[ind])
skt = np.copy(sst)-dter+dtwl
dqer[ind] = (dter[ind]*0.622*lv[ind]*qsea[ind] /
(287.1*np.power(skt[ind], 2)))
elif (skin == "Beljaars"):
Qs[ind], dter[ind] = cs_Beljaars(rho[ind], Rs[ind], Rnl[ind],
cp[ind], lv[ind], usr[ind],
tsr[ind], qsr[ind], lat[ind],
np.copy(Qs[ind]))
dtwl[ind] = wl_ecmwf(rho[ind], Rs[ind], Rnl[ind], cp[ind],
lv[ind], usr[ind], tsr[ind], qsr[ind],
np.copy(sst[ind]), np.copy(skt[ind]),
np.copy(dter[ind]), lat[ind])
skt = np.copy(sst)-dter+dtwl
dqer = dter*0.622*lv*qsea/(287.1*np.power(skt, 2))
else:
dter[ind] = np.zeros(sst[ind].shape)
dqer[ind] = np.zeros(sst[ind].shape)
......@@ -244,19 +309,18 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
np.nanmedian(tkt), np.nanmedian(Rnl),
np.nanmedian(usr), np.nanmedian(tsr),
np.nanmedian(qsr))
Rnl[ind] = 0.97*(5.67e-8*np.power(sst[ind]-CtoK -
dter[ind]*cskin+CtoK, 4)-Rl[ind])
Rnl[ind] = 0.97*(5.67e-8*np.power(sst[ind] -
dter[ind]*cskin, 4)-Rl[ind])
t10n[ind] = (Ta[ind] -
tsr[ind]/kappa*(np.log(h_in[1, ind]/ref_ht)-psit[ind]))
q10n[ind] = (qair[ind] -
qsr[ind]/kappa*(np.log(h_in[2, ind]/ref_ht)-psiq[ind]))
tv10n[ind] = t10n[ind]*(1+0.61*q10n[ind])
tsrv[ind], monob[ind] = get_L(L, lat[ind], usr[ind], tsr[ind],
qsr[ind], t10n[ind], tv10n[ind],
qair[ind], h_in[:, ind], T[ind], Ta[ind],
th[ind], tv[ind], sst[ind], dt[ind],
dtv[ind], dq[ind], zo[ind], wind[ind],
np.copy(monob[ind]), meth)
qsr[ind], t10n[ind], h_in[:, ind],
Ta[ind], sst[ind],
qair[ind], qsea[ind], q10n[ind],
wind[ind], np.copy(monob[ind]), meth)
psim[ind] = psim_calc(h_in[0, ind]/monob[ind], meth)
psit[ind] = psit_calc(h_in[1, ind]/monob[ind], meth)
psiq[ind] = psit_calc(h_in[2, ind]/monob[ind], meth)
......@@ -328,7 +392,7 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
tref = tref-(273.16+tlapse*h_out[1])
qref = (qair-qsr/kappa*(np.log(h_in[2]/h_out[2]) -
psit+psit_calc(h_out[2]/monob, meth)))
res = np.zeros((35, len(spd)))
res = np.zeros((36, len(spd)))
res[0][:] = tau
res[1][:] = sensible
res[2][:] = latent
......@@ -359,11 +423,12 @@ def AirSeaFluxCode(spd, T, SST, lat=None, hum=None, P=None,
res[27][:] = itera
res[28][:] = dter
res[29][:] = dqer
res[30][:] = qair
res[31][:] = qsea
res[32][:] = Rl
res[33][:] = Rs
res[34][:] = Rnl
res[30][:] = dtwl
res[31][:] = qair
res[32][:] = qsea
res[33][:] = Rl
res[34][:] = Rs
res[35][:] = Rnl
if (out == 0):
res[:, ind] = np.nan
......
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