def mean_theta(prof, lower=-1, upper=-1):
'''
Calculates the mean theta from a profile object within the
specified layer.
Inputs
------
prof (profile object) Profile Object
lower (float) Bottom level (hPa) [-1=SFC]
upper (float) Top level (hPa) [-1=SFC-100hPa]
Returns
-------
Mean Theta (float)
'''
if lower == -1: lower = prof.gSndg[prof.sfc][prof.pind]
if upper == -1: upper = prof.gSndg[prof.sfc][prof.pind] - 100.
if not QC(interp.temp(upper, prof)): mmw = RMISSD
if not QC(interp.temp(lower, prof)): prof.gSndg[prof.sfc][prof.pind]
# Find lowest observations in the layer
i = 0
while prof.gSndg[i][prof.pind] > lower:
i += 1
while not QC(prof.gSndg[i][prof.tind]):
i += 1
lptr = i
if prof.gSndg[i][prof.pind] == lower: lptr += 1
# Find highest observations in the layer
i = prof.gNumLevels - 1
while prof.gSndg[i][prof.pind] < upper:
i -= 1
uptr = i
if prof.gSndg[i][prof.pind] == upper: uptr -= 1
tott = 0
# Start with interpolated bottom layer
t1 = thermo.theta(lower, interp.temp(lower, prof), 1000.)
num = 1
# Calculate every level that reports a dew point
for i in range(lptr, uptr + 1):
if QC(prof.gSndg[i][prof.tind]):
t2 = thermo.theta(prof.gSndg[i][prof.pind],
prof.gSndg[i][prof.tind], 1000.)
tbar = (t1 + t2) / 2.
tott += tbar
t1 = t2
num += 1
# Finish with top layer
t2 = thermo.theta(upper, interp.temp(upper, prof), 1000.)
tbar = (t1 + t2) / 2.
tott += tbar
return tott / num
def mean_theta(prof, lower=-1, upper=-1):
'''
Calculates the mean theta from a profile object within the
specified layer.
Inputs
------
prof (profile object) Profile Object
lower (float) Bottom level (hPa) [-1=SFC]
upper (float) Top level (hPa) [-1=SFC-100hPa]
Returns
-------
Mean Theta (float)
'''
if lower == -1: lower = prof.gSndg[prof.sfc][prof.pind]
if upper == -1: upper = prof.gSndg[prof.sfc][prof.pind] - 100.
if not QC(interp.temp(upper, prof)): mmw = RMISSD
if not QC(interp.temp(lower, prof)): prof.gSndg[prof.sfc][prof.pind]
# Find lowest observations in the layer
i = 0
while prof.gSndg[i][prof.pind] > lower: i+=1
while not QC(prof.gSndg[i][prof.tind]): i+=1
lptr = i
if prof.gSndg[i][prof.pind] == lower: lptr+=1
# Find highest observations in the layer
i = prof.gNumLevels - 1
while prof.gSndg[i][prof.pind] < upper: i-=1
uptr = i
if prof.gSndg[i][prof.pind] == upper: uptr-=1
tott = 0
# Start with interpolated bottom layer
t1 = thermo.theta(lower, interp.temp(lower, prof), 1000.)
num = 1
# Calculate every level that reports a dew point
for i in range(lptr, uptr+1):
if QC(prof.gSndg[i][prof.tind]):
t2 = thermo.theta(prof.gSndg[i][prof.pind],
prof.gSndg[i][prof.tind], 1000.)
tbar = (t1 + t2) / 2.
tott += tbar
t1 = t2
num += 1
# Finish with top layer
t2 = thermo.theta(upper, interp.temp(upper, prof), 1000.)
tbar = (t1 + t2) / 2.
tott += tbar
return tott / num
def test_theta():
# single
input_p = 940
input_t = 5
input_p2 = 1000.
correct_theta = 9.961049492262532
returned_theta = thermo.theta(input_p, input_t, input_p2)
npt.assert_almost_equal(returned_theta, correct_theta)
# array
input_p = np.asarray([940, 850])
input_t = np.asarray([5, 10])
input_p2 = np.asarray([1000., 1000.])
correct_theta = [9.961049492262532, 23.457812111895066]
returned_theta = thermo.theta(input_p, input_t, input_p2)
npt.assert_almost_equal(returned_theta, correct_theta)
def test_theta():
# single
input_p = 940
input_t = 5
input_p2 = 1000.
correct_theta = 9.961049492262532
returned_theta = thermo.theta(input_p, input_t, input_p2)
npt.assert_almost_equal(returned_theta, correct_theta)
# array
input_p = np.asarray([940, 850])
input_t = np.asarray([5, 10])
input_p2 = np.asarray([1000., 1000.])
correct_theta = [9.961049492262532, 23.457812111895066]
returned_theta = thermo.theta(input_p, input_t, input_p2)
npt.assert_almost_equal(returned_theta, correct_theta)
def get_parcels(self):
'''
Function to generate various parcels and parcel
traces.
Returns nothing, but sets the following
variables:
self.mupcl : Most Unstable Parcel
self.sfcpcl : Surface Based Parcel
self.mlpcl : Mixed Layer Parcel
self.fcstpcl : Forecast Surface Parcel
self.ebottom : The bottom pressure level of
the effective inflow layer
self.etop : the top pressure level of
the effective inflow layer
self.ebotm : The bottom, meters (agl), of the
effective inflow layer
self.etopm : The top, meters (agl), of the
effective inflow layer
Parameters
----------
None
Returns
-------
None
'''
self.mupcl = params.parcelx( self, flag=3 )
if self.mupcl.lplvals.pres == self.pres[self.sfc]:
self.sfcpcl = self.mupcl
else:
self.sfcpcl = params.parcelx( self, flag=1 )
self.fcstpcl = params.parcelx( self, flag=2 )
self.mlpcl = params.parcelx( self, flag=4 )
self.usrpcl = params.Parcel()
## get the effective inflow layer data
self.ebottom, self.etop = params.effective_inflow_layer( self, mupcl=self.mupcl )
## if there was no effective inflow layer, set the values to masked
if self.etop is ma.masked or self.ebottom is ma.masked:
self.ebotm = ma.masked; self.etopm = ma.masked
self.effpcl = self.sfcpcl # Default to surface parcel, as in params.DefineProfile().
## otherwise, interpolate the heights given to above ground level
else:
self.ebotm = interp.to_agl(self, interp.hght(self, self.ebottom))
self.etopm = interp.to_agl(self, interp.hght(self, self.etop))
# The below code was adapted from params.DefineProfile()
# Lifting one additional parcel probably won't slow the program too much.
# It's just one more lift compared to all the lifts in the params.effective_inflow_layer() call.
mtha = params.mean_theta(self, self.ebottom, self.etop)
mmr = params.mean_mixratio(self, self.ebottom, self.etop)
effpres = (self.ebottom+self.etop)/2.
efftmpc = thermo.theta(1000., mtha, effpres)
effdwpc = thermo.temp_at_mixrat(mmr, effpres)
self.effpcl = params.parcelx(self, flag=5, pres=effpres, tmpc=efftmpc, dwpc=effdwpc) #This is the effective parcel.
def get_parcels(self):
'''
Function to generate various parcels and parcel
traces.
Returns nothing, but sets the following
variables:
self.mupcl : Most Unstable Parcel
self.sfcpcl : Surface Based Parcel
self.mlpcl : Mixed Layer Parcel
self.fcstpcl : Forecast Surface Parcel
self.ebottom : The bottom pressure level of
the effective inflow layer
self.etop : the top pressure level of
the effective inflow layer
self.ebotm : The bottom, meters (agl), of the
effective inflow layer
self.etopm : The top, meters (agl), of the
effective inflow layer
Parameters
----------
None
Returns
-------
None
'''
self.mupcl = params.parcelx( self, flag=3 )
if self.mupcl.lplvals.pres == self.pres[self.sfc]:
self.sfcpcl = self.mupcl
else:
self.sfcpcl = params.parcelx( self, flag=1 )
self.fcstpcl = params.parcelx( self, flag=2 )
self.mlpcl = params.parcelx( self, flag=4 )
self.usrpcl = params.Parcel()
## get the effective inflow layer data
self.ebottom, self.etop = params.effective_inflow_layer( self, mupcl=self.mupcl )
## if there was no effective inflow layer, set the values to masked
if self.etop is ma.masked or self.ebottom is ma.masked:
self.ebotm = ma.masked; self.etopm = ma.masked
self.effpcl = self.sfcpcl # Default to surface parcel, as in params.DefineProfile().
## otherwise, interpolate the heights given to above ground level
else:
self.ebotm = interp.to_agl(self, interp.hght(self, self.ebottom))
self.etopm = interp.to_agl(self, interp.hght(self, self.etop))
# The below code was adapted from params.DefineProfile()
# Lifting one additional parcel probably won't slow the program too much.
# It's just one more lift compared to all the lifts in the params.effective_inflow_layer() call.
mtha = params.mean_theta(self, self.ebottom, self.etop)
mmr = params.mean_mixratio(self, self.ebottom, self.etop)
effpres = (self.ebottom+self.etop)/2.
efftmpc = thermo.theta(1000., mtha, effpres)
effdwpc = thermo.temp_at_mixrat(mmr, effpres)
self.effpcl = params.parcelx(self, flag=5, pres=effpres, tmpc=efftmpc, dwpc=effdwpc) #This is the effective parcel.
def __ml(self, prof, **kwargs):
''' Create the mixed-layer parcel; mixing over defined pressure '''
self.desc = '%.2f hPa Mixed Layer Parcel' % self.presval
self.pres = prof.gSndg[prof.sfc][prof.pind]
diff = prof.gSndg[prof.sfc][prof.pind] - self.presval
mtha = mean_theta(prof, -1, diff)
mmr = mean_mixratio(prof, -1, diff)
self.temp = thermo.theta(1000., mtha, self.pres)
self.dwpt = thermo.temp_at_mixrat(mmr, self.pres)
return
def __ml(self, prof, **kwargs):
''' Create the mixed-layer parcel; mixing over defined pressure '''
self.desc = '%.2f hPa Mixed Layer Parcel' % self.presval
self.pres = prof.gSndg[prof.sfc][prof.pind]
diff = prof.gSndg[prof.sfc][prof.pind] - self.presval
mtha = mean_theta(prof, -1, diff)
mmr = mean_mixratio(prof, -1, diff)
self.temp = thermo.theta(1000., mtha, self.pres)
self.dwpt = thermo.temp_at_mixrat(mmr, self.pres)
return
def get_theta_profile(self):
'''
Function to calculate the theta profile.
Parameters
----------
None
Returns
-------
Array of theta profile
'''
theta = ma.empty(self.pres.shape[0])
for i in range(len(self.v)):
theta[i] = thermo.theta(self.pres[i], self.tmpc[i])
theta[theta == self.missing] = ma.masked
theta.set_fill_value(self.missing)
theta = thermo.ctok(theta)
return theta
def get_theta_profile(self):
'''
Function to calculate the theta profile.
Parameters
----------
None
Returns
-------
Array of theta profile
'''
theta = ma.empty(self.pres.shape[0])
for i in range(len(self.v)):
theta[i] = thermo.theta(self.pres[i], self.tmpc[i])
theta[theta == self.missing] = ma.masked
theta.set_fill_value(self.missing)
theta = thermo.ctok(theta)
return theta
def __effective(self, prof):
''' Create the mean-effective layer parcel '''
pbot, ptop = effective_inflow_layer(100, -250, prof)
if pbot > 0:
self.desc = '%.2f hPa Mean Effective Layer Centered at %.2f' % (
pbot - ptop, (pbot + ptop) / 2.)
mtha = mean_theta(prof, pbot, ptop)
mmr = mean_mixratio(prof, pbot, ptop)
self.pres = (ptop + pbot) / 2.
self.temp = thermo.theta(1000., mtha, self.pres)
self.dwpt = thermo.temp_at_mixrat(mmr, self.pres)
else:
self.desc = 'Defaulting to Surface Layer'
self.pres = prof.gSndg[prof.sfc][prof.pind]
self.temp = prof.gSndg[prof.sfc][prof.tind]
self.dwpt = prof.gSndg[prof.sfc][prof.tdind]
if QC(pbot): self.pbot = pbot
else: self.pbot = RMISSD
if QC(ptop): self.ptop = ptop
else: self.ptop = RMISSD
return
def __effective(self, prof):
''' Create the mean-effective layer parcel '''
pbot, ptop = effective_inflow_layer(100, -250, prof)
if pbot > 0:
self.desc = '%.2f hPa Mean Effective Layer Centered at %.2f' % (
pbot-ptop, (pbot+ptop)/2.)
mtha = mean_theta(prof, pbot, ptop)
mmr = mean_mixratio(prof, pbot, ptop)
self.pres = (ptop + pbot) / 2.
self.temp = thermo.theta(1000., mtha, self.pres)
self.dwpt = thermo.temp_at_mixrat(mmr, self.pres)
else:
self.desc = 'Defaulting to Surface Layer'
self.pres = prof.gSndg[prof.sfc][prof.pind]
self.temp = prof.gSndg[prof.sfc][prof.tind]
self.dwpt = prof.gSndg[prof.sfc][prof.tdind]
if QC(pbot): self.pbot = pbot
else: self.pbot = RMISSD
if QC(ptop): self.ptop = ptop
else: self.ptop = RMISSD
return
''' Create the Sounding (Profile) Object '''
def parcelx(lower, upper, pres, temp, dwpt, prof, **kwargs):
'''
Lifts the specified parcel, calculated various levels and parameters from
the profile object. B+/B- are calculated based on the specified layer.
!! All calculations use the virtual temperature correction unless noted. !!
Inputs
------
lower (float) Lower-bound lifting level (hPa)
upper (float) Upper-bound lifting level
pres (float) Pressure of parcel to lift (hPa)
temp (float) Temperature of parcel to lift (C)
dwpt (float) Dew Point of parcel to lift (C)
prof (profile object) Profile Object
Returns
-------
pcl (parcel object) Parcel Object
'''
pcl = Parcel(-1, -1, pres, temp, dwpt)
if 'lplvals' in kwargs: pcl.lplvals = kwargs.get('lplvals')
else:
lplvals = DefineParcel(prof, 5, pres=pres, temp=temp, dwpt=dwpt)
pcl.lplvals = lplvals
if prof.gNumLevels < 1: return pcl
lyre = -1
cap_strength = RMISSD
cap_strengthpres = RMISSD
li_max = RMISSD
li_maxpres = RMISSD
totp = 0.
totn = 0.
tote = 0.
cinh_old = 0.
# See if default layer is specified
if lower == -1:
lower = prof.gSndg[prof.sfc][prof.pind]
pcl.blayer = lower
if upper == -1:
upper = prof.gSndg[prof.gNumLevels - 1][prof.pind]
pcl.tlayer = upper
# Make sure that this is a valid layer
if lower > pres:
lower = pres
pcl.blayer = lower
if not QC(interp.vtmp(lower, prof)) or \
not QC(interp.vtmp(upper, prof)):
return RMISSD
# Begin with the Mixing Layer
te1 = interp.vtmp(pres, prof)
pe1 = lower
h1 = interp.hght(pe1, prof)
tp1 = thermo.virtemp(pres, temp, dwpt)
# te1 = tp1
# Lift parcel and return LCL pres (hPa) and LCL temp (c)
pe2, tp2 = thermo.drylift(pres, temp, dwpt)
blupper = pe2 # Define top of layer as LCL pres
h2 = interp.hght(pe2, prof)
te2 = interp.vtmp(pe2, prof)
pcl.lclpres = pe2
pcl.lclhght = interp.agl(h2, prof)
# Calculate lifted parcel theta for use in iterative CINH loop below
# RECALL: lifted parcel theta is CONSTANT from LPL to LCL
theta_parcel = thermo.theta(pe2, tp2, 1000.)
# Environmental theta and mixing ratio at LPL
bltheta = thermo.theta(pres, interp.temp(pres, prof), 1000.)
blmr = thermo.mixratio(pres, dwpt)
# ACCUMULATED CINH IN MIXING LAYER BELOW THE LCL
# This will be done in 10mb increments, and will use the virtual
# temperature correction where possible
pinc = -10
a = int(lower)
b = int(blupper)
for pp in range(a, b, int(pinc)):
pp1 = pp
pp2 = pp + pinc
if pp2 < blupper: pp2 = blupper
dz = interp.hght(pp2, prof) - interp.hght(pp1, prof)
# Calculate difference between Tv_parcel and Tv_environment at top
# and bottom of 10mb layers. Make use of constant lifted parcel
# theta and mixing ratio from LPL to LCL
tv_env_bot = thermo.virtemp(
pp1, thermo.theta(pp1, interp.temp(pp1, prof), 1000.),
interp.dwpt(pp1, prof))
tdef1 = (thermo.virtemp(pp1, theta_parcel,
thermo.temp_at_mixrat(blmr, pp1)) - tv_env_bot) / \
(thermo.ctok(tv_env_bot))
tv_env_top = thermo.virtemp(
pp2, thermo.theta(pp2, interp.temp(pp2, prof), 1000.),
interp.dwpt(pp2, prof))
tdef2 = (thermo.virtemp(pp2, theta_parcel,
thermo.temp_at_mixrat(blmr, pp2)) - tv_env_top) / \
(thermo.ctok(tv_env_bot))
lyre = G * (tdef1 + tdef2) / 2. * dz
if lyre < 0: totn += lyre
# Move the bottom layer to the top of the boundary layer
if lower > pe2:
lower = pe2
pcl.blayer = lower
# Calculate height of various temperature levels
p0c = temp_lvl(0., prof)
pm10c = temp_lvl(-10., prof)
pm20c = temp_lvl(-20., prof)
pm30c = temp_lvl(-30., prof)
hgt0c = interp.hght(p0c, prof)
hgtm10c = interp.hght(pm10c, prof)
hgtm20c = interp.hght(pm20c, prof)
hgtm30c = interp.hght(pm30c, prof)
pcl.p0c = p0c
pcl.pm10c = pm10c
pcl.pm20c = pm20c
pcl.pm30c = pm30c
pcl.hght0c = hgt0c
pcl.hghtm10c = hgtm10c
pcl.hghtm20c = hgtm20c
pcl.hghtm30c = hgtm30c
# Find lowest observation in layer
i = 0
while prof.gSndg[i][prof.pind] > lower:
if i == prof.gNumLevels - 1: break
i += 1
while not QC(prof.gSndg[i][prof.tdind]):
if i == prof.gNumLevels - 1: break
i += 1
lptr = i
if prof.gSndg[i][prof.pind] == lower:
if i != prof.gNumLevels - 1: lptr += 1
# Find highest observation in layer
i = prof.gNumLevels - 1
while prof.gSndg[i][prof.pind] < upper:
if i < lptr: break
i -= 1
uptr = i
if prof.gSndg[i][prof.pind] == upper:
if i > lptr: uptr -= 1
# START WITH INTERPOLATED BOTTOM LAYER
# Begin moist ascent from lifted parcel LCL (pe2, tp2)
pe1 = lower
h1 = interp.hght(pe1, prof)
te1 = interp.vtmp(pe1, prof)
tp1 = thermo.wetlift(pe2, tp2, pe1)
lyre = 0
lyrlast = 0
for i in range(lptr, prof.gNumLevels):
if not QC(prof.gSndg[i][prof.tind]): continue
pe2 = prof.gSndg[i][prof.pind]
h2 = prof.gSndg[i][prof.zind]
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe1, tp1, pe2)
tdef1 = (thermo.virtemp(pe1, tp1, tp1) - te1) / thermo.ctok(te1)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / thermo.ctok(te2)
lyrlast = lyre
lyre = G * (tdef1 + tdef2) / 2. * (h2 - h1)
# Add layer energy to total positive if lyre > 0
if lyre > 0:
totp += lyre
# Add layer energy to total negative if lyre < 0, only up to EL
else:
if pe2 > 500.: totn += lyre
# Check for Max LI
mli = thermo.virtemp(pe2, tp2, tp2) - te2
if mli > li_max:
li_max = mli
li_maxpres = pe2
# Check for Max Cap Strength
mcap = te2 - mli
if mcap > cap_strength:
cap_strength = mcap
cap_strengthpres = pe2
tote += lyre
pelast = pe1
pe1 = pe2
h1 = h2
te1 = te2
tp1 = tp2
# Is this the top of the specified layer
if i >= uptr and not QC(pcl.bplus):
pe3 = pe1
h3 = h1
te3 = te1
tp3 = tp1
lyrf = lyre
if lyrf > 0:
pcl.bplus = totp - lyrf
pcl.bminus = totn
else:
pcl.bplus = totp
if pe2 > 500.: pcl.bminus = totn + lyrf
else: pcl.bminus = totn
pe2 = upper
h2 = interp.hght(pe2, prof)
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
if lyrf > 0: pcl.bplus += lyrf
else:
if pe2 > 500.: pcl.bminus += lyrf
if pcl.bplus == 0: pcl.bminus = 0.
# Is this the freezing level
if te2 < 0. and not QC(pcl.bfzl):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.bfzl = totp - lyrf
else: pcl.bfzl = totp
if not QC(p0c) or p0c > pe3:
pcl.bfzl = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgt0c - h3)
if lyrf > 0: pcl.bfzl += lyrf
# Is this the -10C level
if te2 < -10. and not QC(pcl.wm10c):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.wm10c = totp - lyrf
else: pcl.wm10c = totp
if not QC(pm10c) or pm10c > pcl.lclpres:
pcl.wm10c = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgtm10c - h3)
if lyrf > 0: pcl.wm10c += lyrf
# Is this the -20C level
if te2 < -20. and not QC(pcl.wm20c):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.wm20c = totp - lyrf
else: pcl.wm20c = totp
if not QC(pm20c) or pm20c > pcl.lclpres:
pcl.wm20c = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgtm20c - h3)
if lyrf > 0: pcl.wm20c += lyrf
# Is this the -30C level
if te2 < -30. and not QC(pcl.wm30c):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.wm30c = totp - lyrf
else: pcl.wm30c = totp
if not QC(pm30c) or pm30c > pcl.lclpres:
pcl.wm30c = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgtm30c - h3)
if lyrf > 0: pcl.wm30c += lyrf
# Is this the 3km level
if pcl.lclhght < 3000.:
h = interp.agl(interp.hght(pe2, prof), prof)
if h >= 3000. and not QC(pcl.b3km):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0: pcl.b3km = totp - lyrf
else: pcl.b3km = totp
h2 = interp.msl(3000., prof)
pe2 = interp.pres(h2, prof)
if QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
if lyrf > 0: pcl.b3km += lyrf
else: pcl.b3km = 0.
# Is this the 6km level
if pcl.lclhght < 6000.:
h = interp.agl(interp.hght(pe2, prof), prof)
if h >= 6000. and not QC(pcl.b6km):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0: pcl.b6km = totp - lyrf
else: pcl.b6km = totp
h2 = interp.msl(6000., prof)
pe2 = interp.pres(h2, prof)
if QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
if lyrf > 0: pcl.b6km += lyrf
else: pcl.b6km = 0.
# LFC Possibility
if lyre >= 0. and lyrlast <= 0.:
tp3 = tp1
te3 = te1
pe2 = pe1
pe3 = pelast
while interp.vtmp(pe3, prof) > thermo.virtemp(
pe3, thermo.wetlift(pe2, tp3, pe3),
thermo.wetlift(pe2, tp3, pe3)):
pe3 -= 5
pcl.lfcpres = pe3
pcl.lfchght = interp.agl(interp.hght(pe3, prof), prof)
cinh_old = totn
tote = 0.
pcl.elpres = RMISSD
li_max = RMISSD
if cap_strength < 0.: cap_strength = 0.
pcl.cap = cap_strength
pcl.cappres = cap_strengthpres
# Hack to force LFC to be at least at the LCL
if pcl.lfcpres > pcl.lclpres:
pcl.lfcpres = pcl.lclpres
pcl.lfchght = pcl.lclhght
# EL Possibility
if lyre <= 0. and lyrlast >= 0.:
tp3 = tp1
te3 = te1
pe2 = pe1
pe3 = pelast
while interp.vtmp(pe3, prof) < thermo.virtemp(
pe3, thermo.wetlift(pe2, tp3, pe3),
thermo.wetlift(pe2, tp3, pe3)):
pe3 -= 5
pcl.elpres = pe3
pcl.elhght = interp.agl(interp.hght(pe3, prof), prof)
pcl.mplpres = RMISSD
pcl.limax = -li_max
pcl.limaxpress = li_maxpres
# MPL Possibility
if tote < 0. and not QC(pcl.mplpres) and QC(pcl.elpres):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
totx = tote - lyre
pe2 = pelast
while totx > 0:
pe2 -= 1
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
h2 = interp.hght(pe2, prof)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
totx += lyrf
tp3 = tp2
te3 = te2
pe3 = pe2
pcl.mplpres = pe2
pcl.mplhght = interp.agl(interp.hght(pe2, prof), prof)
# 500 hPa Lifted Index
if prof.gSndg[i][prof.pind] <= 500. and pcl.li5 == RMISSD:
a = interp.vtmp(500., prof)
b = thermo.wetlift(pe1, tp1, 500.)
pcl.li5 = a - thermo.virtemp(500, b, b)
# 300 hPa Lifted Index
if prof.gSndg[i][prof.pind] <= 300. and pcl.li3 == RMISSD:
a = interp.vtmp(300., prof)
b = thermo.wetlift(pe1, tp1, 300.)
pcl.li3 = a - thermo.virtemp(300, b, b)
# Calculate BRN if available
pcl = bulk_rich(pcl, prof)
pcl.bminus = cinh_old
if pcl.bplus == 0: pcl.bminus = 0.
return pcl
def parcelx(lower, upper, pres, temp, dwpt, prof, **kwargs):
'''
Lifts the specified parcel, calculated various levels and parameters from
the profile object. B+/B- are calculated based on the specified layer.
!! All calculations use the virtual temperature correction unless noted. !!
Inputs
------
lower (float) Lower-bound lifting level (hPa)
upper (float) Upper-bound lifting level
pres (float) Pressure of parcel to lift (hPa)
temp (float) Temperature of parcel to lift (C)
dwpt (float) Dew Point of parcel to lift (C)
prof (profile object) Profile Object
Returns
-------
pcl (parcel object) Parcel Object
'''
pcl = Parcel(-1, -1, pres, temp, dwpt)
if 'lplvals' in kwargs: pcl.lplvals = kwargs.get('lplvals')
else:
lplvals = DefineParcel(prof, 5, pres=pres, temp=temp, dwpt=dwpt)
pcl.lplvals = lplvals
if prof.gNumLevels < 1: return pcl
lyre = -1
cap_strength = RMISSD
cap_strengthpres = RMISSD
li_max = RMISSD
li_maxpres = RMISSD
totp = 0.
totn = 0.
tote = 0.
cinh_old = 0.
# See if default layer is specified
if lower == -1:
lower = prof.gSndg[prof.sfc][prof.pind]
pcl.blayer = lower
if upper == -1:
upper = prof.gSndg[prof.gNumLevels-1][prof.pind]
pcl.tlayer = upper
# Make sure that this is a valid layer
if lower > pres:
lower = pres
pcl.blayer = lower
if not QC(interp.vtmp(lower, prof)) or \
not QC(interp.vtmp(upper, prof)):
return RMISSD
# Begin with the Mixing Layer
te1 = interp.vtmp(pres, prof)
pe1 = lower
h1 = interp.hght(pe1, prof)
tp1 = thermo.virtemp(pres, temp, dwpt)
# te1 = tp1
# Lift parcel and return LCL pres (hPa) and LCL temp (c)
pe2, tp2 = thermo.drylift(pres, temp, dwpt)
blupper = pe2 # Define top of layer as LCL pres
h2 = interp.hght(pe2, prof)
te2 = interp.vtmp(pe2, prof)
pcl.lclpres = pe2
pcl.lclhght = interp.agl(h2, prof)
# Calculate lifted parcel theta for use in iterative CINH loop below
# RECALL: lifted parcel theta is CONSTANT from LPL to LCL
theta_parcel = thermo.theta(pe2, tp2, 1000.)
# Environmental theta and mixing ratio at LPL
bltheta = thermo.theta(pres, interp.temp(pres, prof), 1000.)
blmr = thermo.mixratio(pres, dwpt)
# ACCUMULATED CINH IN MIXING LAYER BELOW THE LCL
# This will be done in 10mb increments, and will use the virtual
# temperature correction where possible
pinc = -10
a = int(lower)
b = int(blupper)
for pp in range(a, b, int(pinc)):
pp1 = pp
pp2 = pp + pinc
if pp2 < blupper: pp2 = blupper
dz = interp.hght(pp2, prof) - interp.hght(pp1, prof)
# Calculate difference between Tv_parcel and Tv_environment at top
# and bottom of 10mb layers. Make use of constant lifted parcel
# theta and mixing ratio from LPL to LCL
tv_env_bot = thermo.virtemp(pp1, thermo.theta(pp1,
interp.temp(pp1, prof), 1000.), interp.dwpt(pp1, prof))
tdef1 = (thermo.virtemp(pp1, theta_parcel,
thermo.temp_at_mixrat(blmr, pp1)) - tv_env_bot) / \
(thermo.ctok(tv_env_bot))
tv_env_top = thermo.virtemp(pp2, thermo.theta(pp2,
interp.temp(pp2, prof), 1000.), interp.dwpt(pp2, prof))
tdef2 = (thermo.virtemp(pp2, theta_parcel,
thermo.temp_at_mixrat(blmr, pp2)) - tv_env_top) / \
(thermo.ctok(tv_env_bot))
lyre = G * (tdef1 + tdef2) / 2. * dz
if lyre < 0: totn += lyre
# Move the bottom layer to the top of the boundary layer
if lower > pe2:
lower = pe2
pcl.blayer = lower
# Calculate height of various temperature levels
p0c = temp_lvl(0., prof)
pm10c = temp_lvl(-10., prof)
pm20c = temp_lvl(-20., prof)
pm30c = temp_lvl(-30., prof)
hgt0c = interp.hght(p0c, prof)
hgtm10c = interp.hght(pm10c, prof)
hgtm20c = interp.hght(pm20c, prof)
hgtm30c = interp.hght(pm30c, prof)
pcl.p0c = p0c
pcl.pm10c = pm10c
pcl.pm20c = pm20c
pcl.pm30c = pm30c
pcl.hght0c = hgt0c
pcl.hghtm10c = hgtm10c
pcl.hghtm20c = hgtm20c
pcl.hghtm30c = hgtm30c
# Find lowest observation in layer
i = 0
while prof.gSndg[i][prof.pind] > lower:
if i == prof.gNumLevels-1: break
i += 1
while not QC(prof.gSndg[i][prof.tdind]):
if i == prof.gNumLevels-1: break
i += 1
lptr = i
if prof.gSndg[i][prof.pind] == lower:
if i != prof.gNumLevels-1: lptr += 1
# Find highest observation in layer
i = prof.gNumLevels-1
while prof.gSndg[i][prof.pind] < upper:
if i < lptr: break
i -= 1
uptr = i
if prof.gSndg[i][prof.pind] == upper:
if i > lptr: uptr -= 1
# START WITH INTERPOLATED BOTTOM LAYER
# Begin moist ascent from lifted parcel LCL (pe2, tp2)
pe1 = lower
h1 = interp.hght(pe1, prof)
te1 = interp.vtmp(pe1, prof)
tp1 = thermo.wetlift(pe2, tp2, pe1)
lyre = 0
lyrlast = 0
for i in range(lptr, prof.gNumLevels):
if not QC(prof.gSndg[i][prof.tind]): continue
pe2 = prof.gSndg[i][prof.pind]
h2 = prof.gSndg[i][prof.zind]
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe1, tp1, pe2)
tdef1 = (thermo.virtemp(pe1, tp1, tp1) - te1) / thermo.ctok(te1)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / thermo.ctok(te2)
lyrlast = lyre
lyre = G * (tdef1 + tdef2) / 2. * (h2 - h1)
# Add layer energy to total positive if lyre > 0
if lyre > 0: totp += lyre
# Add layer energy to total negative if lyre < 0, only up to EL
else:
if pe2 > 500.: totn += lyre
# Check for Max LI
mli = thermo.virtemp(pe2, tp2, tp2) - te2
if mli > li_max:
li_max = mli
li_maxpres = pe2
# Check for Max Cap Strength
mcap = te2 - mli
if mcap > cap_strength:
cap_strength = mcap
cap_strengthpres = pe2
tote += lyre
pelast = pe1
pe1 = pe2
h1 = h2
te1 = te2
tp1 = tp2
# Is this the top of the specified layer
if i >= uptr and not QC(pcl.bplus):
pe3 = pe1
h3 = h1
te3 = te1
tp3 = tp1
lyrf = lyre
if lyrf > 0:
pcl.bplus = totp - lyrf
pcl.bminus = totn
else:
pcl.bplus = totp
if pe2 > 500.: pcl.bminus = totn + lyrf
else: pcl.bminus = totn
pe2 = upper
h2 = interp.hght(pe2, prof)
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
if lyrf > 0: pcl.bplus += lyrf
else:
if pe2 > 500.: pcl.bminus += lyrf
if pcl.bplus == 0: pcl.bminus = 0.
# Is this the freezing level
if te2 < 0. and not QC(pcl.bfzl):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.bfzl = totp - lyrf
else: pcl.bfzl = totp
if not QC(p0c) or p0c > pe3:
pcl.bfzl = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgt0c - h3)
if lyrf > 0: pcl.bfzl += lyrf
# Is this the -10C level
if te2 < -10. and not QC(pcl.wm10c):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.wm10c = totp - lyrf
else: pcl.wm10c = totp
if not QC(pm10c) or pm10c > pcl.lclpres:
pcl.wm10c = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgtm10c - h3)
if lyrf > 0: pcl.wm10c += lyrf
# Is this the -20C level
if te2 < -20. and not QC(pcl.wm20c):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.wm20c = totp - lyrf
else: pcl.wm20c = totp
if not QC(pm20c) or pm20c > pcl.lclpres:
pcl.wm20c = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgtm20c - h3)
if lyrf > 0: pcl.wm20c += lyrf
# Is this the -30C level
if te2 < -30. and not QC(pcl.wm30c):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0.: pcl.wm30c = totp - lyrf
else: pcl.wm30c = totp
if not QC(pm30c) or pm30c > pcl.lclpres:
pcl.wm30c = 0
elif QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (hgtm30c - h3)
if lyrf > 0: pcl.wm30c += lyrf
# Is this the 3km level
if pcl.lclhght < 3000.:
h = interp.agl(interp.hght(pe2, prof), prof)
if h >= 3000. and not QC(pcl.b3km):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0: pcl.b3km = totp - lyrf
else: pcl.b3km = totp
h2 = interp.msl(3000., prof)
pe2 = interp.pres(h2, prof)
if QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
if lyrf > 0: pcl.b3km += lyrf
else: pcl.b3km = 0.
# Is this the 6km level
if pcl.lclhght < 6000.:
h = interp.agl(interp.hght(pe2, prof), prof)
if h >= 6000. and not QC(pcl.b6km):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
lyrf = lyre
if lyrf > 0: pcl.b6km = totp - lyrf
else: pcl.b6km = totp
h2 = interp.msl(6000., prof)
pe2 = interp.pres(h2, prof)
if QC(pe2):
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
if lyrf > 0: pcl.b6km += lyrf
else: pcl.b6km = 0.
# LFC Possibility
if lyre >= 0. and lyrlast <= 0.:
tp3 = tp1
te3 = te1
pe2 = pe1
pe3 = pelast
while interp.vtmp(pe3, prof) > thermo.virtemp(pe3,
thermo.wetlift(pe2, tp3, pe3), thermo.wetlift(pe2, tp3, pe3)):
pe3 -= 5
pcl.lfcpres = pe3
pcl.lfchght = interp.agl(interp.hght(pe3, prof), prof)
cinh_old = totn
tote = 0.
pcl.elpres = RMISSD
li_max = RMISSD
if cap_strength < 0.: cap_strength = 0.
pcl.cap = cap_strength
pcl.cappres = cap_strengthpres
# Hack to force LFC to be at least at the LCL
if pcl.lfcpres > pcl.lclpres:
pcl.lfcpres = pcl.lclpres
pcl.lfchght = pcl.lclhght
# EL Possibility
if lyre <= 0. and lyrlast >= 0.:
tp3 = tp1
te3 = te1
pe2 = pe1
pe3 = pelast
while interp.vtmp(pe3, prof) < thermo.virtemp(pe3,
thermo.wetlift(pe2, tp3, pe3), thermo.wetlift(pe2, tp3, pe3)):
pe3 -= 5
pcl.elpres = pe3
pcl.elhght = interp.agl(interp.hght(pe3, prof), prof)
pcl.mplpres = RMISSD
pcl.limax = -li_max
pcl.limaxpress = li_maxpres
# MPL Possibility
if tote < 0. and not QC(pcl.mplpres) and QC(pcl.elpres):
pe3 = pelast
h3 = interp.hght(pe3, prof)
te3 = interp.vtmp(pe3, prof)
tp3 = thermo.wetlift(pe1, tp1, pe3)
totx = tote - lyre
pe2 = pelast
while totx > 0:
pe2 -= 1
te2 = interp.vtmp(pe2, prof)
tp2 = thermo.wetlift(pe3, tp3, pe2)
h2 = interp.hght(pe2, prof)
tdef3 = (thermo.virtemp(pe3, tp3, tp3) - te3) / \
thermo.ctok(te3)
tdef2 = (thermo.virtemp(pe2, tp2, tp2) - te2) / \
thermo.ctok(te2)
lyrf = G * (tdef3 + tdef2) / 2. * (h2 - h3)
totx += lyrf
tp3 = tp2
te3 = te2
pe3 = pe2
pcl.mplpres = pe2
pcl.mplhght = interp.agl(interp.hght(pe2, prof), prof)
# 500 hPa Lifted Index
if prof.gSndg[i][prof.pind] <= 500. and pcl.li5 == RMISSD:
a = interp.vtmp(500., prof)
b = thermo.wetlift(pe1, tp1, 500.)
pcl.li5 = a - thermo.virtemp(500, b, b)
# 300 hPa Lifted Index
if prof.gSndg[i][prof.pind] <= 300. and pcl.li3 == RMISSD:
a = interp.vtmp(300., prof)
b = thermo.wetlift(pe1, tp1, 300.)
pcl.li3 = a - thermo.virtemp(300, b, b)
# Calculate BRN if available
pcl = bulk_rich(pcl, prof)
pcl.bminus = cinh_old
if pcl.bplus == 0: pcl.bminus = 0.
return pcl
def _parse(self):
"""
Parse the netCDF file according to the variable naming and
dimmensional conventions of the WRF-ARW.
"""
## open the file and also store the lat/lon of the selected point
file_data = self._downloadFile()
gridx = self._file_name[1]
gridy = self._file_name[2]
## calculate the nearest grid point to the map point
idx = self._find_nearest_point(file_data, gridx, gridy)
## check to see if this is a 4D netCDF4 that includes all available times.
## If it does, open and compute the variables as 4D variables
if len(file_data.variables["T"][:].shape) == 4:
## read in the data from the WRF file and conduct necessary processing
theta = file_data.variables["T"][:, :, idx[0], idx[1]] + 300.0
qvapr = file_data.variables["QVAPOR"][:, :, idx[0],
idx[1]] * 10**3 #g/kg
mpres = (file_data.variables["P"][:, :, idx[0], idx[1]] +
file_data.variables["PB"][:, :, idx[0], idx[1]]) * .01
mhght = file_data.variables[
"PH"][:, :, idx[0],
idx[1]] + file_data.variables["PHB"][:, :, idx[0],
idx[1]] / G
## unstagger the height grid
mhght = (mhght[:, :-1, :, :] + mhght[:, 1:, :, :]) / 2.
muwin = file_data.variables["U"][:, :, idx[0], idx[1]]
mvwin = file_data.variables["V"][:, :, idx[0], idx[1]]
## convert the potential temperature to air temperature
mtmpc = thermo.theta(1000.0, theta - 273.15, p2=mpres)
## convert the mixing ratio to dewpoint
mdwpc = thermo.temp_at_mixrat(qvapr, mpres)
## convert the grid relative wind to earth relative
U = muwin * file_data.variables['COSALPHA'][
0, idx[0], idx[1]] - mvwin * file_data.variables['SINALPHA'][
0, idx[0], idx[1]]
V = mvwin * file_data.variables['COSALPHA'][
0, idx[0], idx[1]] + muwin * file_data.variables['SINALPHA'][
0, idx[0], idx[1]]
## convert from m/s to kts
muwin = utils.MS2KTS(U)
mvwin = utils.MS2KTS(V)
## if the data is not 4D, then it must be assumed that this is a file containing only a single time
else:
## read in the data from the WRF file and conduct necessary processing
theta = file_data.variables["T"][:, idx[0], idx[1]] + 300.0
qvapr = file_data.variables["QVAPOR"][:, idx[0],
idx[1]] * 10**3 #g/kg
mpres = (file_data.variables["P"][:, idx[0], idx[1]] +
file_data.variables["PB"][:, idx[0], idx[1]]) * .01
mhght = file_data.variables["PH"][:, idx[0],
idx[1]] + file_data.variables[
"PHB"][:, idx[0], idx[1]] / G
## unstagger the height grid
mhght = (mhght[:-1, :, :] + mhght[1:, :, :]) / 2.
muwin = file_data.variables["U"][:, idx[0], idx[1]]
mvwin = file_data.variables["V"][:, idx[0], idx[1]]
## convert the potential temperature to air temperature
mtmpc = thermo.theta(1000.0, theta - 273.15, p2=mpres)
## convert the mixing ratio to dewpoint
mdwpc = thermo.temp_at_mixrat(qvapr, mpres)
## convert the grid relative wind to earth relative
U = muwin * file_data.variables['COSALPHA'][
0, idx[0], idx[1]] - mvwin * file_data.variables['SINALPHA'][
0, idx[0], idx[1]]
V = mvwin * file_data.variables['COSALPHA'][
0, idx[0], idx[1]] + muwin * file_data.variables['SINALPHA'][
0, idx[0], idx[1]]
## convert from m/s to kts
muwin = utils.MS2KTS(U)
mvwin = utils.MS2KTS(V)
## get the model start time of the file
inittime = dattim.datetime.strptime(str(file_data.START_DATE),
'%Y-%m-%d_%H:%M:%S')
profiles = []
dates = []
## loop over the available times
for i in range(file_data.variables["T"][:].shape[0]):
## make sure the arrays are 1D
prof_pres = mpres[i].flatten()
prof_hght = mhght[i].flatten()
prof_tmpc = mtmpc[i].flatten()
prof_dwpc = mdwpc[i].flatten()
prof_uwin = muwin[i].flatten()
prof_vwin = mvwin[i].flatten()
## compute the time of the profile
try:
delta = dattim.timedelta(
minutes=int(file_data.variables["XTIME"][i]))
curtime = inittime + delta
except KeyError:
var = ''.join(
np.asarray(file_data.variables['Times'][i], dtype=str))
curtime = dattim.datetime.strptime(var, '%Y-%m-%d_%H:%M:%S')
date_obj = curtime
## construct the profile object
prof = profile.create_profile(profile="raw",
pres=prof_pres,
hght=prof_hght,
tmpc=prof_tmpc,
dwpc=prof_dwpc,
u=prof_uwin,
v=prof_vwin,
location=str(gridx) + "," +
str(gridy),
date=date_obj,
missing=-999.0,
latitude=gridy,
strictQC=False)
## append the dates and profiles
profiles.append(prof)
dates.append(date_obj)
## create a profile collection - dictionary has no key since this
## is not an ensemble model
prof_coll = prof_collection.ProfCollection({'': profiles}, dates)
return prof_coll
