def __init__(self, **kwargs):
'''
Create the sounding data object
Parameters
----------
Mandatory Keywords
pres : array_like
The pressure values (Hectopaschals)
hght : array_like
The corresponding height values (Meters)
tmpc : array_like
The corresponding temperature values (Celsius)
dwpc : array_like
The corresponding dewpoint temperature values (Celsius)
Optional Keyword Pairs (must use one or the other)
wdir : array_like
The direction from which the wind is blowing in
meteorological degrees
wspd : array_like
The speed of the wind
OR
u : array_like
The U-component of the direction from which the wind
is blowing
v : array_like
The V-component of the direction from which the wind
is blowing.
Optional Keywords
missing : number (default: sharppy.sharptab.constants.MISSING)
The value of the missing flag
location : string (default: None)
The 3 character station identifier or 4 character
WMO station ID for radiosonde locations. Used for
the PWV database.
strictQC : boolean
A flag that indicates whether or not the strict quality control
routines should be run on the profile upon construction.
Returns
-------
prof: Profile object
'''
super(BasicProfile, self).__init__(**kwargs)
strictQC = kwargs.get('strictQC', True)
assert len(self.pres) == len(self.hght) == len(self.tmpc) == len(self.dwpc),\
"Length of pres, hght, tmpc, or dwpc arrays passed to constructor are not the same."
## did the user provide the wind in vector form?
if self.wdir is not None:
assert len(self.wdir) == len(self.wspd) == len(
self.pres
), "Length of wdir and wspd arrays passed to constructor are not the same length as the pres array."
self.wdir[self.wdir == self.missing] = ma.masked
self.wspd[self.wspd == self.missing] = ma.masked
self.wdir[self.wspd.mask] = ma.masked
self.wspd[self.wdir.mask] = ma.masked
self.u, self.v = utils.vec2comp(self.wdir, self.wspd)
## did the user provide the wind in u,v form?
elif self.u is not None:
assert len(self.u) == len(self.v) == len(
self.pres
), "Length of u and v arrays passed to constructor are not the same length as the pres array."
self.u[self.u == self.missing] = ma.masked
self.v[self.v == self.missing] = ma.masked
self.u[self.v.mask] = ma.masked
self.v[self.u.mask] = ma.masked
self.wdir, self.wspd = utils.comp2vec(self.u, self.v)
## check if any standard deviation data was supplied
if self.tmp_stdev is not None:
self.dew_stdev[self.dew_stdev == self.missing] = ma.masked
self.tmp_stdev[self.tmp_stdev == self.missing] = ma.masked
self.dew_stdev.set_fill_value(self.missing)
self.tmp_stdev.set_fill_value(self.missing)
if self.omeg is not None:
## get the omega data and turn into arrays
assert len(self.omeg) == len(
self.pres
), "Length of omeg array passed to constructor is not the same length as the pres array."
self.omeg[self.omeg == self.missing] = ma.masked
else:
self.omeg = ma.masked_all(len(self.hght))
# QC Checks on the arrays passed to the constructor.
qc_tools.areProfileArrayLengthEqual(self)
## mask the missing values
self.pres[self.pres == self.missing] = ma.masked
self.hght[self.hght == self.missing] = ma.masked
self.tmpc[self.tmpc == self.missing] = ma.masked
self.dwpc[self.dwpc == self.missing] = ma.masked
#if not qc_tools.isPRESValid(self.pres):
## qc_tools.raiseError("Incorrect order of pressure array (or repeat values) or pressure array is of length <= 1.", ValueError)
if not qc_tools.isHGHTValid(self.hght) and strictQC:
qc_tools.raiseError(
"Incorrect order of height (or repeat values) array or height array is of length <= 1.",
ValueError)
if not qc_tools.isTMPCValid(self.tmpc):
qc_tools.raiseError(
"Invalid temperature array. Array contains a value < -273.15 Celsius.",
ValueError)
if not qc_tools.isDWPCValid(self.dwpc):
qc_tools.raiseError(
"Invalid dewpoint array. Array contains a value < -273.15 Celsius.",
ValueError)
if not qc_tools.isWSPDValid(self.wspd) and strictQC:
qc_tools.raiseError(
"Invalid wind speed array. Array contains a value < 0 knots.",
ValueError)
if not qc_tools.isWDIRValid(self.wdir) and strictQC:
qc_tools.raiseError(
"Invalid wind direction array. Array contains a value < 0 degrees or value > 360 degrees.",
ValueError)
self.logp = np.log10(self.pres.copy())
self.vtmp = thermo.virtemp(self.pres, self.tmpc, self.dwpc)
idx = np.ma.where(self.pres > 0)[0]
self.vtmp[self.dwpc.mask[idx]] = self.tmpc[
self.dwpc.mask[idx]] # Masking any virtual temperature
## get the index of the top and bottom of the profile
self.sfc = self.get_sfc()
self.top = self.get_top()
## generate the wetbulb profile
self.wetbulb = self.get_wetbulb_profile()
## generate theta-e profile
self.thetae = self.get_thetae_profile()
''' Create the Sounding (Profile) Object '''
def __init__(self, **kwargs):
'''
Create the sounding data object
Parameters
----------
Mandatory Keywords
pres : array_like
The pressure values (Hectopaschals)
hght : array_like
The corresponding height values (Meters)
tmpc : array_like
The corresponding temperature values (Celsius)
dwpc : array_like
The corresponding dewpoint temperature values (Celsius)
Optional Keyword Pairs (must use one or the other)
wdir : array_like
The direction from which the wind is blowing in
meteorological degrees
wspd : array_like
The speed of the wind (kts)
OR
u : array_like
The U-component of the direction from which the wind
is blowing (kts)
v : array_like
The V-component of the direction from which the wind
is blowing. (kts)
Optional Keywords
missing : number (default: sharppy.sharptab.constants.MISSING)
The value of the missing flag
location : string (default: None)
The 3 character station identifier or 4 character
WMO station ID for radiosonde locations. Used for
the PWV database.
strictQC : boolean
A flag that indicates whether or not the strict quality control
routines should be run on the profile upon construction.
Returns
-------
prof: Profile object
'''
super(BasicProfile, self).__init__(**kwargs)
self.strictQC = kwargs.get('strictQC', True)
## did the user provide the wind in vector form?
if self.wdir is not None:
self.wdir[self.wdir == self.missing] = ma.masked
self.wspd[self.wspd == self.missing] = ma.masked
self.wdir[self.wspd.mask] = ma.masked
self.wspd[self.wdir.mask] = ma.masked
self.u, self.v = utils.vec2comp(self.wdir, self.wspd)
## did the user provide the wind in u,v form?
elif self.u is not None:
self.u[self.u == self.missing] = ma.masked
self.v[self.v == self.missing] = ma.masked
self.u[self.v.mask] = ma.masked
self.v[self.u.mask] = ma.masked
self.wdir, self.wspd = utils.comp2vec(self.u, self.v)
## check if any standard deviation data was supplied
if self.tmp_stdev is not None:
self.dew_stdev[self.dew_stdev == self.missing] = ma.masked
self.tmp_stdev[self.tmp_stdev == self.missing] = ma.masked
self.dew_stdev.set_fill_value(self.missing)
self.tmp_stdev.set_fill_value(self.missing)
if self.omeg is not None:
## get the omega data and turn into arrays
self.omeg[self.omeg == self.missing] = ma.masked
else:
self.omeg = ma.masked_all(len(self.hght))
# QC Checks on the arrays passed to the constructor.
qc_tools.areProfileArrayLengthEqual(self)
## mask the missing values
self.pres[self.pres == self.missing] = ma.masked
self.hght[self.hght == self.missing] = ma.masked
self.tmpc[self.tmpc == self.missing] = ma.masked
self.dwpc[self.dwpc == self.missing] = ma.masked
self.logp = np.log10(self.pres.copy())
self.vtmp = thermo.virtemp( self.pres, self.tmpc, self.dwpc )
idx = np.ma.where(self.pres > 0)[0]
self.vtmp[self.dwpc.mask[idx]] = self.tmpc[self.dwpc.mask[idx]] # Masking any virtual temperature
## get the index of the top and bottom of the profile
self.sfc = self.get_sfc()
self.top = self.get_top()
if self.strictQC is True:
self.checkDataIntegrity()
## generate the wetbulb profile
self.wetbulb = self.get_wetbulb_profile()
## generate theta-e profile
self.thetae = self.get_thetae_profile()
## generate theta profile
self.theta = self.get_theta_profile()
## generate water vapor mixing ratio profile
self.wvmr = self.get_wvmr_profile()
## generate rh profile
self.relh = self.get_rh_profile()
def __init__(self, **kwargs):
'''
Create the sounding data object
Parameters
----------
Mandatory Keywords
pres : array_like
The pressure values (Hectopaschals)
hght : array_like
The corresponding height values (Meters)
tmpc : array_like
The corresponding temperature values (Celsius)
dwpc : array_like
The corresponding dewpoint temperature values (Celsius)
Optional Keyword Pairs (must use one or the other)
wdir : array_like
The direction from which the wind is blowing in
meteorological degrees
wspd : array_like
The speed of the wind
OR
u : array_like
The U-component of the direction from which the wind
is blowing
v : array_like
The V-component of the direction from which the wind
is blowing.
Optional Keywords
missing : number (default: sharppy.sharptab.constants.MISSING)
The value of the missing flag
location : string (default: None)
The 3 character station identifier or 4 character
WMO station ID for radiosonde locations. Used for
the PWV database.
strictQC : boolean
A flag that indicates whether or not the strict quality control
routines should be run on the profile upon construction.
Returns
-------
prof: Profile object
'''
super(BasicProfile, self).__init__(**kwargs)
strictQC = kwargs.get('strictQC', True)
assert len(self.pres) == len(self.hght) == len(self.tmpc) == len(self.dwpc),\
"Length of pres, hght, tmpc, or dwpc arrays passed to constructor are not the same."
## did the user provide the wind in vector form?
if self.wdir is not None:
assert len(self.wdir) == len(self.wspd) == len(self.pres), "Length of wdir and wspd arrays passed to constructor are not the same length as the pres array."
self.wdir[self.wdir == self.missing] = ma.masked
self.wspd[self.wspd == self.missing] = ma.masked
self.wdir[self.wspd.mask] = ma.masked
self.wspd[self.wdir.mask] = ma.masked
self.u, self.v = utils.vec2comp(self.wdir, self.wspd)
## did the user provide the wind in u,v form?
elif self.u is not None:
assert len(self.u) == len(self.v) == len(self.pres), "Length of u and v arrays passed to constructor are not the same length as the pres array."
self.u[self.u == self.missing] = ma.masked
self.v[self.v == self.missing] = ma.masked
self.u[self.v.mask] = ma.masked
self.v[self.u.mask] = ma.masked
self.wdir, self.wspd = utils.comp2vec(self.u, self.v)
## check if any standard deviation data was supplied
if self.tmp_stdev is not None:
self.dew_stdev[self.dew_stdev == self.missing] = ma.masked
self.tmp_stdev[self.tmp_stdev == self.missing] = ma.masked
self.dew_stdev.set_fill_value(self.missing)
self.tmp_stdev.set_fill_value(self.missing)
if self.omeg is not None:
## get the omega data and turn into arrays
assert len(self.omeg) == len(self.pres), "Length of omeg array passed to constructor is not the same length as the pres array."
self.omeg[self.omeg == self.missing] = ma.masked
else:
self.omeg = ma.masked_all(len(self.hght))
# QC Checks on the arrays passed to the constructor.
qc_tools.areProfileArrayLengthEqual(self)
## mask the missing values
self.pres[self.pres == self.missing] = ma.masked
self.hght[self.hght == self.missing] = ma.masked
self.tmpc[self.tmpc == self.missing] = ma.masked
self.dwpc[self.dwpc == self.missing] = ma.masked
#if not qc_tools.isPRESValid(self.pres):
## qc_tools.raiseError("Incorrect order of pressure array (or repeat values) or pressure array is of length <= 1.", ValueError)
if not qc_tools.isHGHTValid(self.hght) and strictQC:
qc_tools.raiseError("Incorrect order of height (or repeat values) array or height array is of length <= 1.", ValueError)
if not qc_tools.isTMPCValid(self.tmpc):
qc_tools.raiseError("Invalid temperature array. Array contains a value < 273.15 Celsius.", ValueError)
if not qc_tools.isDWPCValid(self.dwpc):
qc_tools.raiseError("Invalid dewpoint array. Array contains a value < 273.15 Celsius.", ValueError)
if not qc_tools.isWSPDValid(self.wspd) and strictQC:
qc_tools.raiseError("Invalid wind speed array. Array contains a value < 0 knots.", ValueError)
if not qc_tools.isWDIRValid(self.wdir) and strictQC:
qc_tools.raiseError("Invalid wind direction array. Array contains a value < 0 degrees or value >= 360 degrees.", ValueError)
self.logp = np.log10(self.pres.copy())
self.vtmp = thermo.virtemp( self.pres, self.tmpc, self.dwpc )
idx = np.ma.where(self.pres > 0)[0]
self.vtmp[self.dwpc.mask[idx]] = self.tmpc[self.dwpc.mask[idx]] # Masking any virtual temperature
## get the index of the top and bottom of the profile
self.sfc = self.get_sfc()
self.top = self.get_top()
## generate the wetbulb profile
self.wetbulb = self.get_wetbulb_profile()
## generate theta-e profile
self.thetae = self.get_thetae_profile()