def test_vec():
input_p = 900
correct_wdir, correct_wspd = 165., 21.40400736
correct = [correct_wdir, correct_wspd]
returned = interp.vec(prof, input_p)
npt.assert_almost_equal(returned, correct)
input_p = [900, 800, 600, 400]
correct_wdir = np.asarray([165., 200.95747979, 292.08277812, 270.])
correct_wspd = np.asarray([21.40400736, 16.64268383, 24.93718343, 42.])
correct = [correct_wdir, correct_wspd]
returned = interp.vec(prof, input_p)
npt.assert_almost_equal(returned, correct)
def test_vec():
input_p = 900
correct_wdir, correct_wspd = 165., 21.40400736
correct = [correct_wdir, correct_wspd]
returned = interp.vec(prof, input_p)
npt.assert_almost_equal(returned, correct)
input_p = [900, 800, 600, 400]
correct_wdir = np.asarray([165., 200.95747979,
292.08277812, 270.])
correct_wspd = np.asarray([21.40400736, 16.64268383,
24.93718343, 42.])
correct = [correct_wdir, correct_wspd]
returned = interp.vec(prof, input_p)
npt.assert_almost_equal(returned, correct)
def insertLevels(prof, zeroHt, zeroPres, level):
prof.dwpc = np.insert(prof.dwpc,level,
[interp.dwpt(prof,zeroPres)])
prof.vtmp = np.insert(prof.vtmp,level,
[interp.vtmp(prof,zeroPres)])
prof.thetae = np.insert(prof.thetae,level,
[interp.thetae(prof,zeroPres)])
#prof.wetbulb = np.insert(prof.wetbulb,level,
# [interp.generic_interp_pres(np.log10(zeroPres), prof.logp[::-1], prof.wetbulb[::-1])])
try:
dir,mag = interp.vec(prof,zeroPres)
prof.wdir = np.insert(prof.wdir,level,[dir])
prof.wspd = np.insert(prof.wspd,level,[mag])
prof.u, prof.v = utils.vec2comp(prof.wdir, prof.wspd)
except:
prof.wdir = np.insert(prof.wdir,level,[0])
prof.wspd = np.insert(prof.wspd,level,[0])
prof.u, prof.v = utils.vec2comp(prof.wdir, prof.wspd)
prof.hght = np.insert(prof.hght,level,[zeroHt])
prof.pres = np.insert(prof.pres,level,[zeroPres])
prof.logp = np.log10(prof.pres.copy())
return prof
def get_kinematics(self):
'''
Function to generate the numerous kinematic quantities
used for display and calculations. It requires that the
parcel calculations have already been called for the lcl
to el shear and mean wind vectors, as well as indices
that require an effective inflow layer.
Parameters
----------
None
Returns
-------
None
'''
sfc = self.pres[self.sfc]
heights = np.array([1000., 3000., 4000., 5000., 6000., 8000., 9000.])
p1km, p3km, p4km, p5km, p6km, p8km, p9km = interp.pres(
self, interp.to_msl(self, heights))
## 1km and 6km winds
self.wind1km = interp.vec(self, p1km)
self.wind6km = interp.vec(self, p6km)
## calcluate wind shear
self.sfc_1km_shear = winds.wind_shear(self, pbot=sfc, ptop=p1km)
self.sfc_3km_shear = winds.wind_shear(self, pbot=sfc, ptop=p3km)
self.sfc_6km_shear = winds.wind_shear(self, pbot=sfc, ptop=p6km)
self.sfc_8km_shear = winds.wind_shear(self, pbot=sfc, ptop=p8km)
self.sfc_9km_shear = winds.wind_shear(self, pbot=sfc, ptop=p9km)
self.lcl_el_shear = winds.wind_shear(self,
pbot=self.mupcl.lclpres,
ptop=self.mupcl.elpres)
## calculate mean wind
self.mean_1km = utils.comp2vec(
*winds.mean_wind(self, pbot=sfc, ptop=p1km))
self.mean_3km = utils.comp2vec(
*winds.mean_wind(self, pbot=sfc, ptop=p3km))
self.mean_6km = utils.comp2vec(
*winds.mean_wind(self, pbot=sfc, ptop=p6km))
self.mean_8km = utils.comp2vec(
*winds.mean_wind(self, pbot=sfc, ptop=p8km))
self.mean_lcl_el = utils.comp2vec(*winds.mean_wind(
self, pbot=self.mupcl.lclpres, ptop=self.mupcl.elpres))
## parameters that depend on the presence of an effective inflow layer
if self.etop is ma.masked or self.ebottom is ma.masked:
self.etopm = ma.masked
self.ebotm = ma.masked
self.srwind = winds.non_parcel_bunkers_motion(self)
self.eff_shear = [MISSING, MISSING]
self.ebwd = [MISSING, MISSING, MISSING]
self.ebwspd = MISSING
self.mean_eff = [MISSING, MISSING, MISSING]
self.mean_ebw = [MISSING, MISSING, MISSING]
self.srw_eff = [MISSING, MISSING, MISSING]
self.srw_ebw = [MISSING, MISSING, MISSING]
self.right_esrh = [ma.masked, ma.masked, ma.masked]
self.left_esrh = [ma.masked, ma.masked, ma.masked]
self.critical_angle = ma.masked
else:
self.srwind = params.bunkers_storm_motion(self,
mupcl=self.mupcl,
pbot=self.ebottom)
depth = (self.mupcl.elhght - self.ebotm) / 2
elh = interp.pres(self, interp.to_msl(self, self.ebotm + depth))
## calculate mean wind
self.mean_eff = winds.mean_wind(self, self.ebottom, self.etop)
self.mean_ebw = winds.mean_wind(self, pbot=self.ebottom, ptop=elh)
## calculate wind shear of the effective layer
self.eff_shear = winds.wind_shear(self,
pbot=self.ebottom,
ptop=self.etop)
self.ebwd = winds.wind_shear(self, pbot=self.ebottom, ptop=elh)
self.ebwspd = utils.mag(self.ebwd[0], self.ebwd[1])
## calculate the mean sr wind
self.srw_eff = winds.sr_wind(self,
pbot=self.ebottom,
ptop=self.etop,
stu=self.srwind[0],
stv=self.srwind[1])
self.srw_ebw = winds.sr_wind(self,
pbot=self.ebottom,
ptop=elh,
stu=self.srwind[0],
stv=self.srwind[1])
self.right_esrh = winds.helicity(self,
self.ebotm,
self.etopm,
stu=self.srwind[0],
stv=self.srwind[1])
self.left_esrh = winds.helicity(self,
self.ebotm,
self.etopm,
stu=self.srwind[2],
stv=self.srwind[3])
self.critical_angle = winds.critical_angle(self,
stu=self.srwind[0],
stv=self.srwind[1])
## calculate mean srw
self.srw_1km = utils.comp2vec(*winds.sr_wind(
self, pbot=sfc, ptop=p1km, stu=self.srwind[0], stv=self.srwind[1]))
self.srw_3km = utils.comp2vec(*winds.sr_wind(
self, pbot=sfc, ptop=p3km, stu=self.srwind[0], stv=self.srwind[1]))
self.srw_6km = utils.comp2vec(*winds.sr_wind(
self, pbot=sfc, ptop=p6km, stu=self.srwind[0], stv=self.srwind[1]))
self.srw_8km = utils.comp2vec(*winds.sr_wind(
self, pbot=sfc, ptop=p8km, stu=self.srwind[0], stv=self.srwind[1]))
self.srw_4_5km = utils.comp2vec(*winds.sr_wind(
self, pbot=p4km, ptop=p5km, stu=self.srwind[0],
stv=self.srwind[1]))
self.srw_lcl_el = utils.comp2vec(
*winds.sr_wind(self,
pbot=self.mupcl.lclpres,
ptop=self.mupcl.elpres,
stu=self.srwind[0],
stv=self.srwind[1]))
# This is for the red, blue, and purple bars that appear on the SR Winds vs. Height plot
self.srw_0_2km = winds.sr_wind(self,
pbot=sfc,
ptop=interp.pres(
self, interp.to_msl(self, 2000.)),
stu=self.srwind[0],
stv=self.srwind[1])
self.srw_4_6km = winds.sr_wind(self,
pbot=interp.pres(
self, interp.to_msl(self, 4000.)),
ptop=p6km,
stu=self.srwind[0],
stv=self.srwind[1])
self.srw_9_11km = winds.sr_wind(
self,
pbot=interp.pres(self, interp.to_msl(self, 9000.)),
ptop=interp.pres(self, interp.to_msl(self, 11000.)),
stu=self.srwind[0],
stv=self.srwind[1])
## calculate upshear and downshear
self.upshear_downshear = winds.mbe_vectors(self)
self.srh1km = winds.helicity(self,
0,
1000.,
stu=self.srwind[0],
stv=self.srwind[1])
self.srh3km = winds.helicity(self,
0,
3000.,
stu=self.srwind[0],
stv=self.srwind[1])
def get_kinematics(self):
'''
Function to generate the numerous kinematic quantities
used for display and calculations. It requires that the
parcel calculations have already been called for the lcl
to el shear and mean wind vectors, as well as indices
that require an effective inflow layer.
Parameters
----------
None
Returns
-------
None
'''
sfc = self.pres[self.sfc]
heights = np.array([1000., 3000., 4000., 5000., 6000., 8000., 9000.])
p1km, p3km, p4km, p5km, p6km, p8km, p9km = interp.pres(self, interp.to_msl(self, heights))
## 1km and 6km winds
self.wind1km = interp.vec(self, p1km)
self.wind6km = interp.vec(self, p6km)
## calcluate wind shear
self.sfc_1km_shear = winds.wind_shear(self, pbot=sfc, ptop=p1km)
self.sfc_3km_shear = winds.wind_shear(self, pbot=sfc, ptop=p3km)
self.sfc_6km_shear = winds.wind_shear(self, pbot=sfc, ptop=p6km)
self.sfc_8km_shear = winds.wind_shear(self, pbot=sfc, ptop=p8km)
self.sfc_9km_shear = winds.wind_shear(self, pbot=sfc, ptop=p9km)
self.lcl_el_shear = winds.wind_shear(self, pbot=self.mupcl.lclpres, ptop=self.mupcl.elpres)
## calculate mean wind
self.mean_1km = utils.comp2vec(*winds.mean_wind(self, pbot=sfc, ptop=p1km))
self.mean_3km = utils.comp2vec(*winds.mean_wind(self, pbot=sfc, ptop=p3km))
self.mean_6km = utils.comp2vec(*winds.mean_wind(self, pbot=sfc, ptop=p6km))
self.mean_8km = utils.comp2vec(*winds.mean_wind(self, pbot=sfc, ptop=p8km))
self.mean_lcl_el = utils.comp2vec(*winds.mean_wind(self, pbot=self.mupcl.lclpres, ptop=self.mupcl.elpres))
## parameters that depend on the presence of an effective inflow layer
if self.etop is ma.masked or self.ebottom is ma.masked:
self.etopm = ma.masked; self.ebotm = ma.masked
self.srwind = winds.non_parcel_bunkers_motion( self )
self.eff_shear = [MISSING, MISSING]
self.ebwd = [MISSING, MISSING, MISSING]
self.ebwspd = MISSING
self.mean_eff = [MISSING, MISSING, MISSING]
self.mean_ebw = [MISSING, MISSING, MISSING]
self.srw_eff = [MISSING, MISSING, MISSING]
self.srw_ebw = [MISSING, MISSING, MISSING]
self.right_esrh = [ma.masked, ma.masked, ma.masked]
self.left_esrh = [ma.masked, ma.masked, ma.masked]
self.critical_angle = ma.masked
else:
self.srwind = params.bunkers_storm_motion(self, mupcl=self.mupcl, pbot=self.ebottom)
depth = ( self.mupcl.elhght - self.ebotm ) / 2
elh = interp.pres(self, interp.to_msl(self, self.ebotm + depth))
## calculate mean wind
self.mean_eff = winds.mean_wind(self, self.ebottom, self.etop )
self.mean_ebw = winds.mean_wind(self, pbot=self.ebottom, ptop=elh )
## calculate wind shear of the effective layer
self.eff_shear = winds.wind_shear(self, pbot=self.ebottom, ptop=self.etop)
self.ebwd = winds.wind_shear(self, pbot=self.ebottom, ptop=elh)
self.ebwspd = utils.mag( self.ebwd[0], self.ebwd[1] )
## calculate the mean sr wind
self.srw_eff = winds.sr_wind(self, pbot=self.ebottom, ptop=self.etop, stu=self.srwind[0], stv=self.srwind[1] )
self.srw_ebw = winds.sr_wind(self, pbot=self.ebottom, ptop=elh, stu=self.srwind[0], stv=self.srwind[1] )
self.right_esrh = winds.helicity(self, self.ebotm, self.etopm, stu=self.srwind[0], stv=self.srwind[1])
self.left_esrh = winds.helicity(self, self.ebotm, self.etopm, stu=self.srwind[2], stv=self.srwind[3])
self.critical_angle = winds.critical_angle(self, stu=self.srwind[0], stv=self.srwind[1])
## calculate mean srw
self.srw_1km = utils.comp2vec(*winds.sr_wind(self, pbot=sfc, ptop=p1km, stu=self.srwind[0], stv=self.srwind[1] ))
self.srw_3km = utils.comp2vec(*winds.sr_wind(self, pbot=sfc, ptop=p3km, stu=self.srwind[0], stv=self.srwind[1] ))
self.srw_6km = utils.comp2vec(*winds.sr_wind(self, pbot=sfc, ptop=p6km, stu=self.srwind[0], stv=self.srwind[1] ))
self.srw_8km = utils.comp2vec(*winds.sr_wind(self, pbot=sfc, ptop=p8km, stu=self.srwind[0], stv=self.srwind[1] ))
self.srw_4_5km = utils.comp2vec(*winds.sr_wind(self, pbot=p4km, ptop=p5km, stu=self.srwind[0], stv=self.srwind[1] ))
self.srw_lcl_el = utils.comp2vec(*winds.sr_wind(self, pbot=self.mupcl.lclpres, ptop=self.mupcl.elpres, stu=self.srwind[0], stv=self.srwind[1] ))
# This is for the red, blue, and purple bars that appear on the SR Winds vs. Height plot
self.srw_0_2km = winds.sr_wind(self, pbot=sfc, ptop=interp.pres(self, interp.to_msl(self, 2000.)), stu=self.srwind[0], stv=self.srwind[1])
self.srw_4_6km = winds.sr_wind(self, pbot=interp.pres(self, interp.to_msl(self, 4000.)), ptop=p6km, stu=self.srwind[0], stv=self.srwind[1])
self.srw_9_11km = winds.sr_wind(self, pbot=interp.pres(self, interp.to_msl(self, 9000.)), ptop=interp.pres(self, interp.to_msl(self, 11000.)), stu=self.srwind[0], stv=self.srwind[1])
## calculate upshear and downshear
self.upshear_downshear = winds.mbe_vectors(self)
self.srh1km = winds.helicity(self, 0, 1000., stu=self.srwind[0], stv=self.srwind[1])
self.srh3km = winds.helicity(self, 0, 3000., stu=self.srwind[0], stv=self.srwind[1])
def inis(prof, pbot=850, ptop=250, dp=-50, exact=True):
'''
Formulation taken from Colquhoun and Shepherd 1989, MWR v.4 pg. 38.
Calculates the sum of two components of shear over a layer, divided by the
thickness of the layer. The two components are listed below:
(1.) IN : The component of shear normal to the wind at the base of a given
layer; relates to directional shear.
(2.) IS : The component of shear in the direction of the wind at the base
of a given layer; relates to speed shear.
The calculation is essentially similar in concept to normalized total shear
(q.v.).
Parameters
----------
prof: profile object
Profile object
pbot : number (optional; default 850 hPa)
Pressure of the bottom level (hPa)
ptop : number (optional; default 250 hPa)
Pressure of the top level (hPa)
dp : negative integer (optional; default -50)
The pressure increment for the interpolated sounding
exact : bool (optional; default = True)
Switch to choose between using the exact data (slower) or using
interpolated sounding at 'dp' pressure levels (faster)
Returns
-------
inis : number
INIS (number)
'''
if exact:
ind1 = np.where(pbot > prof.pres)[0].min()
ind2 = np.where(ptop < prof.pres)[0].max()
wdir1, wspd1 = interp.vec(prof, pbot)
wdir2, wspd2 = interp.vec(prof, ptop)
wdr = np.concatenate([[wdir1], prof.wdir[ind1:ind2+1].compressed(), [wdir2]])
wsp = np.concatenate([[wspd1], prof.wspd[ind1:ind2+1].compressed(), [wspd2]])
wsp = utils.KTS2MS(wsp)
ind3 = ma.where(~prof.wspd[ind1:ind2+1].mask == True)[0] + ind1
preslvls = prof.pres[ind3]
dplv = np.concatenate([[pbot - preslvls[0]], preslvls[:-1] - preslvls[1:], [preslvls[-1] - ptop]])
dpt = pbot - ptop
else:
ps = np.arange(pbot, ptop+dp, dp)
wdr, wsp = interp.vec(prof, ps)
wsp = utils.KTS2MS(wsp)
dplv = np.fabs(dp)
dpt = ps[0] - ps[-1]
t_wdr = wdr[1:]
mod = 180 - wdr[:-1]
t_wdr = t_wdr + mod
idx1 = ma.where(t_wdr < 0)[0]
idx2 = ma.where(t_wdr >= 360)[0]
t_wdr[idx1] = t_wdr[idx1] + 360
t_wdr[idx2] = t_wdr[idx2] - 360
dwdr = np.fabs(t_wdr - 180)
l_in = wsp[1:] * np.sin(np.radians(dwdr))
l_is = ( wsp[1:] * np.cos(np.radians(dwdr)) ) - wsp[:-1]
inis = ( ( l_in * dplv ).sum() + ( l_is * dplv ).sum() ) / ( dpt )
return inis
