Add error propagation to the models

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Joost van den Born committed 2019-05-03 12:35:14 +02:00
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@@ -17,14 +17,13 @@ from scipy import integrate
'''
class Ciddor1996:
def __init__(self, p=101325, T=288.15, H=0, xc=450):
self.p = p # Pressure in Pa
self.T = T # Temperature in Kelvin
self.H = H # Relative humidity on a scale from 0 to 1
self.xc = xc # ppm of CO2
pass
class Observatory:
def __init__(self, dT=0.2, dP=20, dH=0.02, dCO2=20, dl=0.001):
self.dT = dT # in K
self.dP = dP # in Pa
self.dH = dH # relative humidity between 0 and 1
self.dCO2 = dCO2 # in ppm
self.dl = dl # in micron
def n_as(self, l):
'''
@@ -191,15 +190,216 @@ class Ciddor1996:
return np.sqrt( (1 + 2 * _Ltotal) / (1 - _Ltotal) )
class error(Ciddor1996):
def __init__(self, p=101325, T=288.15, H=0, xc=450, dT=0.2, dP=20, dH=0.02, dCO2=20, dl=0.001):
Ciddor1996.__init__(self, p, T, H)
self.dT = 0#dT # in K
self.dP = 0#dP # in Pa
self.dH = 0#dH # relative humidity between 0 and 1
self.dCO2 = 0#dCO2 # in ppm
self.dl = 0#dl # in micron
def dn_tph(self, l, T, p, RH, xc, dl=None, dT=None, dP=None, dRH=None, dCO2=None):
'''
Calculates the uncertainty in the refractive index, following the Ciddor model,
by using fully propagated error analysis.
This involves almost endless use of the chain rule and evaluation of both the moist
air and dry air components. Note: dry air does not contain any water, i.e. H=0, x_w=0, etc.
Parameters:
l - Wavelength in micron (0.4 - 2.5 micron)
T - Temperature in Kelvin
p - Pressure in Pascals
RH - Relative humidity (no units, don't use percentage but value 0<x<1)
xc - CO2 density in ppm
dl - Uncertainty in the blue wavelength
dT - Uncertainty in the temperature, default: 0.2 K
dP - Uncertainty in the pressure, default: 20 Pa
dRH - Uncertainty in the relative humidity, default: 0.02
dCO2- Uncertainty in the CO2 density, default: 20
'''
if dP == None:
dP = self.dP
if dT == None:
dT = self.dT
if dRH == None:
dRH = self.dH
if dCO2 == None:
dCO2 = self.dCO2
# constants
_cf = 1.022
_w0 = 295.235 # um^-2
_w1 = 2.6422 # um^-2
_w2 = -0.032380 # um^-4
_w3 = 0.004028 # um^-6
_k0 = 238.0185 # um^-2
_k1 = 5792105 # um^-2
_k2 = 57.362 # um^-2
_k3 = 167917 # um^-2
_A = 1.2378847e-5 # K^-2
_B = -1.9121316e-2 # K^-2
_C = 33.93711047
_D = -6.3431645e3 # K^-2
_Mw = 0.018015 # kg/mol
_R = 8.314510 # J mol^-1 K^-1, gas constant
_a0 = 1.58123e-6 # K Pa^-1
_a1 = -2.9331e-8 # Pa^-1
_a2 = 1.1043e-10 # K^-1 Pa^-1
_b0 = 5.707e-6 # K Pa^-1
_b1 = -2.051e-8 # Pa^-1
_c0 = 1.9898e-4 # K Pa^-1
_c1 = -2.376e-6 # Pa^-1
_d = 1.83e-11 # K^2 Pa^-2
_e = -0.765e-8 # K^2 Pa^-2
_t = T - 273.15
_aa = 1.00062
_bb = 3.14e-8 # Pa^-1
_cc = 5.6e-7 # deg C^-2
_RH_a = 0
_RH_w = RH
# Calculated values
# _rho_obs = self.rho(p, T, RH, xc)
# _ref = refraction(lat, h, p, _rho_obs)
# _alpha = _ref.rc * np.sin(np.deg2rad(z)) / (_ref.rc + _ref.H)
_p_a = p - RH*self.svp(T)
_p_w = RH*self.svp(T)
_x_w_a = self.xw(_p_a, T, _RH_a)
_x_w_w = self.f(_p_w, T)
_Z_a = self.Z(p=_p_a, T=T, RH=_RH_a)
_Z_w = self.Z(p=_p_w, T=T, RH=_RH_w, xw=_x_w_w)
_Ma = 1e-3 * (28.9635 + 12.011e-6 * (xc - 400) ) # Molar mass in kg/mol of dry air containing xc ppm of CO2
_p_sv = self.svp(T)
_rho_a = self.rho(p=p-RH*self.svp(T), T=T, RH=0, xc=xc)
_rho_axs = self.rho(p=101325, T=288.15, RH=0, xc=xc)
if RH == 0.0:
# nan is returned for _rho_w if we put in a (partial) pressure of 0
_rho_w = 0
else:
_rho_w = self.rho(p=RH*self.svp(T), T=T, RH=RH, xc=xc)
_rho_ws = self.rho(p=1333, T=293.15, RH=1333/self.svp(293.15), xc=xc)
_n_a1 = self.n_axs(l, xc)
_n_w1 = self.n_ws(l)
_L1_a = (_n_a1**2 - 1) / (_n_a1**2 + 2) # Dry air component of L
_L1_w = (_n_w1**2 - 1) / (_n_w1**2 + 2)
_L1 = ( _rho_a / _rho_axs ) * _L1_a + ( _rho_w / _rho_ws ) * _L1_w # Overall L
_n1 = np.sqrt( (1 + 2 * _L1) / (1 - _L1) )
# Partial derivatives for derivation to l1
_dn_wdl = _cf * 1e-8 * (-1 * _w1 * 2/l**3 - _w2 * 4/l**5 - _w3 * 6/l**7)
_dLdn_w1 = _rho_w / _rho_ws * 6 * _n_w1 / (_n_w1**2 + 2)**2
_dn_adl = 1e-8 * (1 + 0.534e-6 * (xc - 450)) * ( - (2 * _k1 * l ) / ((_k0 * l**2 - 1)**2) - (2 * _k3 * l) / ((_k2 * l**2 - 1)**2) )
_dLdn_a1 = _rho_a / _rho_axs * 6 * _n_a1 / (_n_a1**2 + 2)**2
_dndL1 = ( ( (1 + 2*_L1) / (1 - _L1)**2 ) + (2 / (1-_L1)) ) / (2 * np.sqrt( (1 + 2*_L1) / (1 - _L1) ) )
_dndl = _dndL1 * ( _dLdn_a1 * _dn_adl + _dLdn_w1 * _dn_wdl)
# # Partial derivatives for derivation to l2
# Partial derivatives for derivation to T
# Dry air parts:
_drho_adp_a = _Ma / (_Z_a * _R * T) * (1 - _x_w_a * (1 - _Mw / _Ma))
_dp_adp_sv = - RH
_dp_svdT = (2*_A*T + _B - _D/(T**2)) * np.exp(_A * T**2 + _B * T + _C + _D/T )
_drho_adTZ = - _p_a * _Ma / (_R * ( _Z_a * T)**2) * (1 - _x_w_a * (1 - _Mw / _Ma))
_dTZdT_a = _p_a / T * (_a2 * _t**2 + _a1 * _t + _a0 + (_b1*_t + _b0) * _x_w_a + (_c0 + _c1*_t) * _x_w_a**2 ) - _p_a * (_a1 + 2*_a2*_t + _b1*_x_w_a + _c1*_x_w_a**2) - 2*(_p_a/T)**2 * (_d + _e * _x_w_a**2) + _Z_a
_dTZdxw_a = 2*_e*_p_a**2 / T * _x_w_a - _p_a * (_b1*_t + _b0 + 2 * (_c0 + _c1*_t) * _x_w_a)
_dxw_adf = _RH_a * _p_sv / _p_a
_dfdT = 2*_cc*_t
_dxw_adp_sv = self.f(_p_a, T) * _RH_a / _p_a
_drho_adxw_a = 0 # as rho_a has not water content, i.e. rho = p*M/ZRT
# Moist air parts:
_drho_wdp_w = _Ma / (_Z_w * _R * T) * (1 - _x_w_w * (1 - _Mw / _Ma))
_dp_wdp_sv = RH
_dp_svdT = (2*_A*T + _B - _D/(T**2)) * np.exp(_A * T**2 + _B * T + _C + _D/T )
_drho_wdTZ = - _p_w * _Ma / (_R * (_Z_w * T)**2) * (1 - _x_w_w * (1 - _Mw / _Ma))
_dTZdT_w = _p_w / T * (_a2 * _t**2 + _a1 * _t + _a0 + (_b1*_t + _b0) * _x_w_w + (_c0 + _c1*_t) * _x_w_w**2 ) - _p_w * (_a1 + 2*_a2*_t + _b1*_x_w_w + _c1*_x_w_w**2) - 2*(_p_w/T)**2 * (_d + _e * _x_w_w**2) + _Z_w
_dTZdxw_w = 2*_e*_p_w**2 / T * _x_w_w - _p_w * (_b1*_t + _b0 + 2 * (_c0 + _c1*_t) * _x_w_w)
_dxw_wdf = 1
_dfdT = 2*_cc*_t
_dxw_wdp_sv = self.f(_p_w, T) / _p_sv
_drho_wdxw_w = _p_w * _Ma / (_Z_w * _R * T) * (_Mw / _Ma - 1)
_tA = _drho_adp_a * _dp_adp_sv * _dp_svdT + _drho_adTZ * (_dTZdT_a + _dTZdxw_a * (_dxw_adf * _dfdT + _dxw_adp_sv * _dp_svdT) ) + _drho_adxw_a * ( _dxw_adf * _dfdT + _dxw_adp_sv * _dp_svdT )
_tB = _drho_wdp_w * _dp_wdp_sv * _dp_svdT + _drho_wdTZ * (_dTZdT_w + _dTZdxw_w * (_dxw_wdf * _dfdT + _dxw_wdp_sv * _dp_svdT) ) + _drho_wdxw_w * ( _dxw_wdf * _dfdT + _dxw_wdp_sv * _dp_svdT )
_dL1drho_a = _L1_a / _rho_axs
_dL1drho_w = _L1_w / _rho_ws
_dndT = _tA * (_dndL1 * _dL1drho_a) + _tB * (_dndL1 * _dL1drho_w)
# Partial derivatives for derivation to p
# Dry air parts:
_drho_adZ = - _p_a * _Ma / ( _Z_a**2 * _R * T) * (1 - _x_w_a * (1 - _Mw / _Ma))
_dZdp_a = - 1 / T * (_a0 + _a1 * _t + _a2 * _t**2 + (_b0 + _b1*_t)*_x_w_a + (_c0 + _c1*_t)*_x_w_a**2 ) + 2*_p_a/(T**2) * (_d + _e * _x_w_a**2)
_dfdp = _bb
_dxw_adp_a = - self.f(_p_a, T) * _RH_a * _p_sv / (_p_a)**2
# Moist air parts
_dZdp_w = - 1 / T * (_a0 + _a1 * _t + _a2 * _t**2 + (_b0 + _b1*_t)*_x_w_w + (_c0 + _c1*_t)*_x_w_w**2 ) + 2*_p_w/(T**2) * (_d + _e * _x_w_w**2)
# Not necessary, since dpwdp=0
_pA = _drho_adp_a + _drho_adZ * _dZdp_a + _drho_adxw_a * (_dxw_adf * _dfdp + _dxw_adp_a)
_dndP = _pA * (_dndL1 * _dL1drho_a)
# Partial derivatives for derivation to H
# Dry air parts:
_dp_adH = - _p_sv
_dZdxw_a = (_p_a / T)**2 * 2 * _e * _x_w_a - (_p_a / T) * ( (_b0 + _b1 * _t) + 2 * (_c0 + _c1 * _t) * _x_w_a )
_dxw_adH = self.f(_p_a, T) * _p_sv / _p_a
# Moist air parts:
_dp_wdH = _p_sv
_dZdxw_w = (_p_w / T)**2 * 2 * _e * _x_w_w - (_p_w / T) * ( (_b0 + _b1 * _t) + 2 * (_c0 + _c1 * _t) * _x_w_w )
_dxw_wdH = 0
_dxw_wdp_w = 0
_drho_wdZ = - _p_w * _Ma / ( _Z_w**2 * _R * T) * (1 - _x_w_w * (1 - _Mw / _Ma))
_hA = _drho_adp_a * _dp_adH + _drho_adZ * ( _dZdp_a * _dp_adH + _dZdxw_a * (_dxw_adH + _dxw_adp_a * _dp_adH + _dxw_adf * _dfdp * _dp_adH) ) + _drho_adxw_a * (_dxw_adH + _dxw_adp_a * _dp_adH + _dxw_adf * _dfdp * _dp_adH)
_hB = _drho_wdp_w * _dp_wdH + _drho_wdZ * ( _dZdp_w * _dp_wdH + _dZdxw_w * ( _bb * _p_sv ) ) + _drho_wdxw_w * ( _bb * _p_sv )
_dndRH = _hA * (_dndL1 * _dL1drho_a) + _hB * (_dndL1 * _dL1drho_w)
# Partial derivatives for derivation to xc
# Dry air parts:
_drho_adMa = _p_a * (1 - _x_w_a) / (_Z_a * _R * T)
_dL1drho_axs = - (_rho_a * _L1_a)/(_rho_axs**2)
_drho_axsdMa = _drho_adMa
_dL1dL_a = _rho_a / _rho_axs
_dL_adn_a1 = 6 * _n_a1 / (_n_a1**2 + 2)**2
# Moist air parts:
_drho_wdMa = _p_w * (1 - _x_w_w) / (_Z_w * _R * T)
_dL1drho_ws = - (_rho_w * _L1_w)/(_rho_ws**2)
_drho_wsdMa = _drho_wdMa
# Other parts:
_dMadx_c = 12.011e-9
_dn_adx_c1 = (self.n_as(l) - 1) * 0.534e-6
_dL1dx_c = _dL1drho_a * _drho_adMa * _dMadx_c + _dL1drho_w * _drho_wdMa * _dMadx_c + _dL1drho_axs * _drho_axsdMa * _dMadx_c + _dL1drho_ws * _drho_wsdMa * _dMadx_c + _dL1dL_a * _dL_adn_a1 * _dn_adx_c1
_dndCO2 = _dndL1 * _dL1dx_c
# Final error:
_nError = np.sqrt( (_dndl * dl)**2 + (_dndT * dT)**2 + (_dndP * dP)**2 + (_dndRH * dRH)**2 + (_dndCO2 * dCO2)**2 )
return _nError
###
### THIS ERROR CLASS IS OUTDATED
### Use Observatory.dn_tph(), dispersion.cassiniError() or refraction.cassiniError() instead.
###
class error(Observatory):
def __init__(self, dT=0.2, dP=20, dH=0.02, dCO2=20, dl=0.001):
Observatory.__init__(self)
self.dT = dT # in K
self.dP = dP # in Pa
self.dH = dH # relative humidity between 0 and 1
self.dCO2 = dCO2 # in ppm
self.dl = dl # in micron
print('THIS ERROR CLASS IS OUTDATED\nUse Observatory.dn_tph(), dispersion.cassiniError() or refraction.cassiniError() instead.')
def dn_as(self, l, dl=None):
'''
@@ -384,6 +584,7 @@ class error(Ciddor1996):
def dn_tph(self, l, T, p, RH, xc, dl=None, dT=None, dP=None, dRH=None, dCO2=None):
'''
[DEPRECATED]
Calculates the uncertainty in the refraction of the atmosphere for any conditions.
'''
if not dP:
@@ -443,24 +644,27 @@ class error(Ciddor1996):
_dnLL = np.sqrt( ( (3*np.sqrt(1 - _Ltotal )) / ( 2 * (1 - _Ltotal)**2 * np.sqrt(1 + 2*_Ltotal) ) * _dLtotal )**2 )
return (_nLL, _dnLL)
###
### END OF OUTDATED ERROR CLASS
###
class dispersion:
def __init__(self, lat, h, P, rho):
class dispersion(Observatory):
def __init__(self, lat, h):
Observatory.__init__(self)
self.h = h # height above sea level in meters
self.lat = lat # Latitude of the observer in degrees
self.rc = self.rc() * 1000 # Radius of curvature of the earth at the observer
self.H = self.H(P, rho) # Reduced height of the atmosphere assuming ideal gas law
# self.H2 = self.H_isotherm(T) # Reduced height of isotherm atmosphere
self.rc = self.set_rc() * 1000 # Radius of curvature of the earth at the observer
def setReducedHeight(self, P, rho):
self.H = self.set_H(P, rho) # Reduced height of the atmosphere assuming ideal gas law
def planeParallel(self, n1, n2, zenith):
'''
Refraction based on a flat atmosphere, easily derived from Snell's law.
'''
# _theta1 = np.degrees( np.arcsin( np.sin( np.deg2rad(zenith) / n1) ) )
# _theta2 = np.degrees( np.arcsin( np.sin( np.deg2rad(zenith) / n2) ) )
_R1 = np.arcsin(n1 * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
_R2 = np.arcsin(n2 * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
return np.degrees(_R1) - np.degrees(_R2)
@@ -555,7 +759,7 @@ class dispersion:
if not R0:
R0 = self.rc
if useStandardAtmosphere:
_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt('1976USSA.txt', unpack=True, skip_header=6)
_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt('./US1976 Standard Atmosphere/si1py_modified.txt', unpack=True, skip_header=6)
else:
_Dens = rhoData
_h = heightData
@@ -589,7 +793,7 @@ class dispersion:
return np.exp(x**2) * _int[0]
def rc(self):
def set_rc(self):
'''
Returns the radius of the curvature at the observer in km,
taking into account the latitude of the observer and the corresponding
@@ -603,7 +807,7 @@ class dispersion:
return _rc0 + self.h/1000
def H(self, P, rho):
def set_H(self, P, rho):
'''
Calculates the reduced height of the atmosphere, assuming ideal gas law.
'''
@@ -634,21 +838,262 @@ class dispersion:
return (_kb*T) / (_m * _g0_local)
class refraction:
def __init__(self, lat, h, P, rho):
def cassiniError(self, z, l1, l2, T, p, RH, xc, dl1=0, dl2=0, dT=0.2, dP=20, dRH=0.02, dCO2=20, dz=0, lat=None, h=None):
'''
Calculates the uncertainty in the atmospheric dispersion, following the Cassini model,
by using fully propagated error analysis.
This involves almost endless use of the chain rule and evaluation of both the moist
air and dry air components. Note: dry air does not contain any water, i.e. H=0, x_w=0, etc.
Not taken into account is the errror propagation in the scale height of the atmosphere or
the zenith error, from my results this should give a small or even negligible difference.
Parameters:
z - Zenith angle in degrees
l1 - Bluest wavelength in micron (0.4 - 2.5 micron)
l2 - Reddest wavelength in micron (0.4 - 2.5 micron)
T - Temperature in Kelvin
p - Pressure in Pascals
RH - Relative humidity (no units, don't use percentage but value 0<x<1)
xc - CO2 density in ppm
dl1 - Uncertainty in the blue wavelength
dl2 - Uncertainty in the red wavelength
dT - Uncertainty in the temperature, default: 0.2 K
dP - Uncertainty in the pressure, default: 20 Pa
dRH - Uncertainty in the relative humidity, default: 0.02
dCO2- Uncertainty in the CO2 density, default: 20
lat - [Optional] Latitude of the observatory in degrees
h - [Optional] Height in m of the observatory
'''
if lat == None:
lat = self.lat
else:
self.lat = lat
if h == None:
h = self.h
else:
self.h = h
# constants
_cf = 1.022
_w0 = 295.235 # um^-2
_w1 = 2.6422 # um^-2
_w2 = -0.032380 # um^-4
_w3 = 0.004028 # um^-6
_k0 = 238.0185 # um^-2
_k1 = 5792105 # um^-2
_k2 = 57.362 # um^-2
_k3 = 167917 # um^-2
_A = 1.2378847e-5 # K^-2
_B = -1.9121316e-2 # K^-2
_C = 33.93711047
_D = -6.3431645e3 # K^-2
_Mw = 0.018015 # kg/mol
_R = 8.314510 # J mol^-1 K^-1, gas constant
_a0 = 1.58123e-6 # K Pa^-1
_a1 = -2.9331e-8 # Pa^-1
_a2 = 1.1043e-10 # K^-1 Pa^-1
_b0 = 5.707e-6 # K Pa^-1
_b1 = -2.051e-8 # Pa^-1
_c0 = 1.9898e-4 # K Pa^-1
_c1 = -2.376e-6 # Pa^-1
_d = 1.83e-11 # K^2 Pa^-2
_e = -0.765e-8 # K^2 Pa^-2
_t = T - 273.15
_aa = 1.00062
_bb = 3.14e-8 # Pa^-1
_cc = 5.6e-7 # deg C^-2
_RH_a = 0
_RH_w = RH
# Calculated values
_rho_obs = self.rho(p, T, RH, xc)
self.rc = self.set_rc() * 1000
self.H = self.set_H(p, _rho_obs)
_alpha = self.rc * np.sin(np.deg2rad(z)) / (self.rc + self.H)
_p_a = p - RH*self.svp(T)
_p_w = RH*self.svp(T)
_x_w_a = self.xw(_p_a, T, _RH_a)
_x_w_w = self.f(_p_w, T)
_Z_a = self.Z(p=_p_a, T=T, RH=_RH_a)
_Z_w = self.Z(p=_p_w, T=T, RH=_RH_w, xw=_x_w_w)
_Ma = 1e-3 * (28.9635 + 12.011e-6 * (xc - 400) ) # Molar mass in kg/mol of dry air containing xc ppm of CO2
_p_sv = self.svp(T)
_rho_a = self.rho(p=p-RH*self.svp(T), T=T, RH=0, xc=xc)
_rho_axs = self.rho(p=101325, T=288.15, RH=0, xc=xc)
if RH == 0.0:
# nan is returned for _rho_w if we put in a (partial) pressure of 0
_rho_w = 0
else:
_rho_w = self.rho(p=RH*self.svp(T), T=T, RH=RH, xc=xc)
_rho_ws = self.rho(p=1333, T=293.15, RH=1333/self.svp(293.15), xc=xc)
_n_a1 = self.n_axs(l1, xc)
_n_w1 = self.n_ws(l1)
_n_a2 = self.n_axs(l2, xc)
_n_w2 = self.n_ws(l2)
_L1_a = (_n_a1**2 - 1) / (_n_a1**2 + 2) # Dry air component of L
_L1_w = (_n_w1**2 - 1) / (_n_w1**2 + 2)
_L1 = ( _rho_a / _rho_axs ) * _L1_a + ( _rho_w / _rho_ws ) * _L1_w # Overall L
_L2_a = (_n_a2**2 - 1) / (_n_a2**2 + 2) # Dry air component of L
_L2_w = (_n_w2**2 - 1) / (_n_w2**2 + 2)
_L2 = ( _rho_a / _rho_axs ) * _L2_a + ( _rho_w / _rho_ws ) * _L2_w # Overall L
_n1 = np.sqrt( (1 + 2 * _L1) / (1 - _L1) )
_n2 = np.sqrt( (1 + 2 * _L2) / (1 - _L2) )
# Partial derivatives for derivation to l1
_dn_wdl1 = _cf * 1e-8 * (-1 * _w1 * 2/l1**3 - _w2 * 4/l1**5 - _w3 * 6/l1**7)
_dLdn_w1 = _rho_w / _rho_ws * 6 * _n_w1 / (_n_w1**2 + 2)**2
_dn_adl1 = 1e-8 * (1 + 0.534e-6 * (xc - 450)) * ( - (2 * _k1 * l1 ) / ((_k0 * l1**2 - 1)**2) - (2 * _k3 * l1) / ((_k2 * l1**2 - 1)**2) )
_dLdn_a1 = _rho_a / _rho_axs * 6 * _n_a1 / (_n_a1**2 + 2)**2
_dndL1 = ( ( (1 + 2*_L1) / (1 - _L1)**2 ) + (2 / (1-_L1)) ) / (2 * np.sqrt( (1 + 2*_L1) / (1 - _L1) ) )
_dddn1 = _alpha / np.sqrt( 1 - _alpha**2 * _n1**2 )
_dddl1 = _dddn1 * _dndL1 * ( _dLdn_a1 * _dn_adl1 + _dLdn_w1 * _dn_wdl1)
# Partial derivatives for derivation to l2
_dn_wdl2 = _cf * 1e-8 * (-1 * _w1 * 2/l2**3 - _w2 * 4/l2**5 - _w3 * 6/l2**7)
_dLdn_w2 = _rho_w / _rho_ws * 6 * _n_w2 / (_n_w2**2 + 2)**2
_dn_adl2 = 1e-8 * (1 + 0.534e-6 * (xc - 450)) * ( - (2 * _k1 * l2 ) / ((_k0 * l2**2 - 1)**2) - (2 * _k3 * l2) / ((_k2 * l2**2 - 1)**2) )
_dLdn_a2 = _rho_a / _rho_axs * 6 * _n_a2 / (_n_a2**2 + 2)**2
_dndL2 = ( ( (1 + 2*_L2) / (1 - _L2)**2 ) + (2 / (1-_L2)) ) / (2 * np.sqrt( (1 + 2*_L2) / (1 - _L2) ) )
_dddn2 = _alpha / np.sqrt( 1 - _alpha**2 * _n2**2 )
_dddl2 = _dddn2 * _dndL2 * ( _dLdn_a2 * _dn_adl2 + _dLdn_w2 * _dn_wdl2)
# Partial derivatives for derivation to T
# Dry air parts:
_drho_adp_a = _Ma / (_Z_a * _R * T) * (1 - _x_w_a * (1 - _Mw / _Ma))
_dp_adp_sv = - RH
_dp_svdT = (2*_A*T + _B - _D/(T**2)) * np.exp(_A * T**2 + _B * T + _C + _D/T )
_drho_adTZ = - _p_a * _Ma / (_R * ( _Z_a * T)**2) * (1 - _x_w_a * (1 - _Mw / _Ma))
_dTZdT_a = _p_a / T * (_a2 * _t**2 + _a1 * _t + _a0 + (_b1*_t + _b0) * _x_w_a + (_c0 + _c1*_t) * _x_w_a**2 ) - _p_a * (_a1 + 2*_a2*_t + _b1*_x_w_a + _c1*_x_w_a**2) - 2*(_p_a/T)**2 * (_d + _e * _x_w_a**2) + _Z_a
_dTZdxw_a = 2*_e*_p_a**2 / T * _x_w_a - _p_a * (_b1*_t + _b0 + 2 * (_c0 + _c1*_t) * _x_w_a)
_dxw_adf = _RH_a * _p_sv / _p_a
_dfdT = 2*_cc*_t
_dxw_adp_sv = self.f(_p_a, T) * _RH_a / _p_a
_drho_adxw_a = 0 # as rho_a has not water content, i.e. rho = p*M/ZRT
# Moist air parts:
_drho_wdp_w = _Ma / (_Z_w * _R * T) * (1 - _x_w_w * (1 - _Mw / _Ma))
_dp_wdp_sv = RH
_dp_svdT = (2*_A*T + _B - _D/(T**2)) * np.exp(_A * T**2 + _B * T + _C + _D/T )
_drho_wdTZ = - _p_w * _Ma / (_R * (_Z_w * T)**2) * (1 - _x_w_w * (1 - _Mw / _Ma))
_dTZdT_w = _p_w / T * (_a2 * _t**2 + _a1 * _t + _a0 + (_b1*_t + _b0) * _x_w_w + (_c0 + _c1*_t) * _x_w_w**2 ) - _p_w * (_a1 + 2*_a2*_t + _b1*_x_w_w + _c1*_x_w_w**2) - 2*(_p_w/T)**2 * (_d + _e * _x_w_w**2) + _Z_w
_dTZdxw_w = 2*_e*_p_w**2 / T * _x_w_w - _p_w * (_b1*_t + _b0 + 2 * (_c0 + _c1*_t) * _x_w_w)
_dxw_wdf = 1 # _RH_w * _p_sv / _p_w
_dfdT = 2*_cc*_t
_dxw_wdp_sv = self.f(_p_w, T) / _p_sv # * _RH_w / _p_w
_drho_wdxw_w = _p_w * _Ma / (_Z_w * _R * T) * (_Mw / _Ma - 1)
_tA = _drho_adp_a * _dp_adp_sv * _dp_svdT + _drho_adTZ * (_dTZdT_a + _dTZdxw_a * (_dxw_adf * _dfdT + _dxw_adp_sv * _dp_svdT) ) + _drho_adxw_a * ( _dxw_adf * _dfdT + _dxw_adp_sv * _dp_svdT )
_tB = _drho_wdp_w * _dp_wdp_sv * _dp_svdT + _drho_wdTZ * (_dTZdT_w + _dTZdxw_w * (_dxw_wdf * _dfdT + _dxw_wdp_sv * _dp_svdT) ) + _drho_wdxw_w * ( _dxw_wdf * _dfdT + _dxw_wdp_sv * _dp_svdT )
_dL1drho_a = _L1_a / _rho_axs
_dL2drho_a = _L2_a / _rho_axs
_dL1drho_w = _L1_w / _rho_ws
_dL2drho_w = _L2_w / _rho_ws
_dddT = _tA * (_dddn1 * _dndL1 * _dL1drho_a - _dddn2 * _dndL2 * _dL2drho_a) + _tB * (_dddn1 * _dndL1 * _dL1drho_w - _dddn2 * _dndL2 * _dL2drho_w)
# Partial derivatives for derivation to p
# Dry air parts:
_drho_adZ = - _p_a * _Ma / ( _Z_a**2 * _R * T) * (1 - _x_w_a * (1 - _Mw / _Ma))
_dZdp_a = - 1 / T * (_a0 + _a1 * _t + _a2 * _t**2 + (_b0 + _b1*_t)*_x_w_a + (_c0 + _c1*_t)*_x_w_a**2 ) + 2*_p_a/(T**2) * (_d + _e * _x_w_a**2)
_dfdp = _bb
_dxw_adp_a = - self.f(_p_a, T) * _RH_a * _p_sv / (_p_a)**2
# Moist air parts
_dZdp_w = - 1 / T * (_a0 + _a1 * _t + _a2 * _t**2 + (_b0 + _b1*_t)*_x_w_w + (_c0 + _c1*_t)*_x_w_w**2 ) + 2*_p_w/(T**2) * (_d + _e * _x_w_w**2)
# Not necessary, since dpwdp=0
_pA = _drho_adp_a + _drho_adZ * _dZdp_a + _drho_adxw_a * (_dxw_adf * _dfdp + _dxw_adp_a)
_dddP = _pA * (_dddn1 * _dndL1 * _dL1drho_a - _dddn2 * _dndL2 * _dL2drho_a)
# Partial derivatives for derivation to H
# Dry air parts:
_dp_adH = - _p_sv
_dZdxw_a = (_p_a / T)**2 * 2 * _e * _x_w_a - (_p_a / T) * ( (_b0 + _b1 * _t) + 2 * (_c0 + _c1 * _t) * _x_w_a )
_dxw_adH = self.f(_p_a, T) * _p_sv / _p_a
# Moist air parts:
_dp_wdH = _p_sv
_dZdxw_w = (_p_w / T)**2 * 2 * _e * _x_w_w - (_p_w / T) * ( (_b0 + _b1 * _t) + 2 * (_c0 + _c1 * _t) * _x_w_w )
_dxw_wdH = 0
_dxw_wdp_w = 0
_drho_wdZ = - _p_w * _Ma / ( _Z_w**2 * _R * T) * (1 - _x_w_w * (1 - _Mw / _Ma))
_hA = _drho_adp_a * _dp_adH + _drho_adZ * ( _dZdp_a * _dp_adH + _dZdxw_a * (_dxw_adH + _dxw_adp_a * _dp_adH + _dxw_adf * _dfdp * _dp_adH) ) + _drho_adxw_a * (_dxw_adH + _dxw_adp_a * _dp_adH + _dxw_adf * _dfdp * _dp_adH)
_hB = _drho_wdp_w * _dp_wdH + _drho_wdZ * ( _dZdp_w * _dp_wdH + _dZdxw_w * ( _bb * _p_sv ) ) + _drho_wdxw_w * ( _bb * _p_sv )
_dddRH = _hA * (_dddn1 * _dndL1 * _dL1drho_a - _dddn2 * _dndL2 * _dL2drho_a) + _hB * (_dddn1 * _dndL1 * _dL1drho_w - _dddn2 * _dndL2 * _dL2drho_w)
# Partial derivatives for derivation to xc
# Dry air parts:
_drho_adMa = _p_a * (1 - _x_w_a) / (_Z_a * _R * T)
_dL1drho_axs = - (_rho_a * _L1_a)/(_rho_axs**2)
_dL2drho_axs = - (_rho_a * _L2_a)/(_rho_axs**2)
_drho_axsdMa = _drho_adMa
_dL1dL_a = _rho_a / _rho_axs
_dL_adn_a1 = 6 * _n_a1 / (_n_a1**2 + 2)**2
_dL2dL_a = _dL1dL_a
_dL_adn_a2 = 6 * _n_a2 / (_n_a2**2 + 2)**2
# Moist air parts:
_drho_wdMa = _p_w * (1 - _x_w_w) / (_Z_w * _R * T)
_dL1drho_ws = - (_rho_w * _L1_w)/(_rho_ws**2)
_dL2drho_ws = - (_rho_w * _L2_w)/(_rho_ws**2)
_drho_wsdMa = _drho_wdMa
# Other parts:
_dMadx_c = 12.011e-9
_dn_adx_c1 = (self.n_as(l1) - 1) * 0.534e-6
_dn_adx_c2 = (self.n_as(l2) - 1) * 0.534e-6
_dL1dx_c = _dL1drho_a * _drho_adMa * _dMadx_c + _dL1drho_w * _drho_wdMa * _dMadx_c + _dL1drho_axs * _drho_axsdMa * _dMadx_c + _dL1drho_ws * _drho_wsdMa * _dMadx_c + _dL1dL_a * _dL_adn_a1 * _dn_adx_c1
_dL2dx_c = _dL2drho_a * _drho_adMa * _dMadx_c + _dL2drho_w * _drho_wdMa * _dMadx_c + _dL2drho_axs * _drho_axsdMa * _dMadx_c + _dL2drho_ws * _drho_wsdMa * _dMadx_c + _dL2dL_a * _dL_adn_a2 * _dn_adx_c2
_dddCO2 = _dddn1 * _dndL1 * _dL1dx_c - _dddn2 * _dndL2 * _dL2dx_c
# Partial derivatives for derivation to z
_zenith = np.deg2rad(z)
_dz = np.deg2rad(dz)
_R = self.rc
_H = self.H
_dddz = (_R * np.cos(_zenith)) / (_R + _H) * ( _n1 / np.sqrt(1-(_n1**2 * _R**2 * np.sin(_zenith)**2)/(_R + _H)**2) - _n2 / np.sqrt(1-(_n2**2 * _R**2 * np.sin(_zenith)**2)/(_R + _H)**2) )
# Final error:
_dispersionError = np.sqrt( (_dddl1 * dl1)**2 + (_dddl2 * dl2)**2 + (_dddT * dT)**2 + (_dddP * dP)**2 + (_dddRH * dRH)**2 + (_dddCO2 * dCO2)**2 + (_dddz * _dz)**2)
return np.degrees(_dispersionError)
class refraction(Observatory):
def __init__(self, lat, h):
Observatory.__init__(self)
self.h = h # height above sea level in meters
self.lat = lat # Latitude of the observer in degrees
self.rc = self.rc() * 1000 # Radius of curvature of the earth at the observer
self.H = self.H(P, rho) # Reduced height of the atmosphere assuming ideal gas law
self.rc = self.set_rc() * 1000 # Radius of curvature of the earth at the observer
# self.H2 = self.H_isotherm(T) # Reduced height of isotherm atmosphere
def setReducedHeight(self, P, rho):
self.H = self.set_H(P, rho) # Reduced height of the atmosphere assuming ideal gas law
def planeParallel(self, n, zenith):
'''
Refraction based on a flat atmosphere, easily derived from Snell's law.
'''
# _theta1 = np.degrees( np.arcsin( np.sin( np.deg2rad(zenith) / n) ) )
_R = np.arcsin(n * np.sin( np.deg2rad(zenith) )) - np.deg2rad(zenith)
return np.degrees(_R)
@@ -732,7 +1177,7 @@ class refraction:
if not R0:
R0 = self.rc
if useStandardAtmosphere:
_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt('1976USSA.txt', unpack=True, skip_header=6)
_h, _, _, _, _Temp, _Press, _Dens,_,_,_ = np.genfromtxt('./US1976 Standard Atmosphere/si1py_modified.txt', unpack=True, skip_header=6)
else:
_Dens = rhoData
_h = heightData
@@ -760,7 +1205,7 @@ class refraction:
def rc(self):
def set_rc(self):
'''
Returns the radius of the curvature at the observer in km,
taking into account the latitude of the observer and the corresponding
@@ -775,7 +1220,7 @@ class refraction:
def H(self, P, rho):
def set_H(self, P, rho):
'''
Calculates the reduced height of the atmosphere, assuming ideal gas law.
'''
@@ -806,3 +1251,21 @@ class refraction:
return (_kb*T) / (_m * _g0_local)
def cassiniError(self, n, dn, zenith, dz=0, reduced_height=None):
'''
Calculates the uncertainty in the refraction angle in degrees.
'''
if reduced_height:
_H = reduced_height
else:
_H = self.H
_zenith = np.deg2rad(zenith)
_dz = np.deg2rad(dz)
_R = self.rc
_dRdn = (_R * np.sin(_zenith)) / ((_R + _H) * np.sqrt(1 - ((n**2 * _R**2 * np.sin(_zenith)**2)/(_R + _H)**2)))
_dRdz = (_R * np.cos(_zenith)) / (_R + _H) * ( n / np.sqrt(1-(n**2 * _R**2 * np.sin(_zenith)**2)/(_R + _H)**2) - 1 / np.sqrt(1-(_R**2 * np.sin(_zenith)**2)/(_R + _H)**2) )
_dR = np.sqrt( (_dRdn * dn)**2 + (_dRdz * _dz)**2)
return np.degrees(_dR)