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import logging
import math
import gsw
import numpy
def warn_wrong_units(expected, actual, filename):
logging.warning(
f"Cowardly refusing to perform the conversion from {actual} to {expected} in {filename}"
)
def calculate_density(
length, temperature_C, salinity_SP, pressure_dbar, longitude, latitude, filename
):
assumed = False
if all(x is not None for x in [temperature_C, salinity_SP, pressure_dbar]):
salinity_SA = gsw.SA_from_SP(salinity_SP, pressure_dbar, longitude, latitude)
density = gsw.rho(
salinity_SA,
gsw.CT_from_t(salinity_SA, temperature_C, pressure_dbar),
pressure_dbar,
)
else:
density = []
if len(density) == 0:
logging.warning(
f"Not enough data in {filename} to accurately compute density. "
f"Calculating density as though all values are 0"
)
assumed = True
density = numpy.full(length, gsw.rho([0], [0], 0)[0])
return density, assumed
def convert_umol_kg_to_mL_L(
oxygen_umol_kg,
longitude,
latitude,
temperature_C=None,
salinity_SP=None,
pressure_dbar=None,
filename="unknown file",
):
oxygen_umol_per_ml = 44.661
metre_cube_per_litre = 0.001
density, assumed_density = calculate_density(
len(oxygen_umol_kg),
temperature_C,
salinity_SP,
pressure_dbar,
longitude,
latitude,
filename,
)
return (
numpy.fromiter(
(
o * d / oxygen_umol_per_ml * metre_cube_per_litre
for o, d in zip(oxygen_umol_kg, density)
),
float,
count=len(oxygen_umol_kg),
),
assumed_density,
)
def convert_percent_to_mL_L(
oxygen_percent,
temperature_C,
salinity_SP,
pressure_dbar=0,
pressure_atm=1013.25,
filename="no filename given",
):
"""
Author: Jessy Barrette
function O2conc=O2stoO2c(O2sat,T,S,P,p_atm)
convert oxygen saturation to molar oxygen concentration
inputs:
O2sat - oxygen saturation in %
T - temperature in degC
S - salinity (PSS-78)
P - hydrostatic pressure in dbar (default: 0 dbar)
p_atm - atmospheric (air) pressure in mbar (default: 1013.25 mbar)
output:
O2conc - oxygen concentration in umol L-1
according to recommendations by SCOR WG 142 "Quality Control Procedures
for Oxygen and Other Biogeochemical Sensors on Floats and Gliders"
"""
if temperature_C is not None and salinity_SP is not None:
pH2Osat = 1013.25 * (
numpy.exp(
24.4543
- (67.4509 * (100.0 / (temperature_C + 273.15)))
- (4.8489 * numpy.log(((273.15 + temperature_C) / 100)))
- 0.000544 * salinity_SP
)
) # saturated water vapor in mbar
# scaled temperature for use in TCorr and SCorr
sca_T = numpy.log((298.15 - temperature_C) / (273.15 + temperature_C))
# temperature correction part from Garcia and Gordon (1992), Benson and
# Krause (1984) refit mL(STP) L-1; and conversion from mL(STP) L-1 to umol
# L-1
TCorr = 44.6596 * numpy.exp(
2.00907
+ 3.22014 * sca_T
+ 4.05010 * sca_T ** 2
+ 4.94457 * sca_T ** 3
- 2.56847e-1 * sca_T ** 4
+ 3.88767 * sca_T ** 5
)
# salinity correction part from Garcia and Gordon (1992), Benson and
# Krause (1984) refit ml(STP) L-1
Scorr = numpy.exp(
salinity_SP
* (
-6.24523e-3
- 7.37614e-3 * sca_T
- 1.03410e-2 * sca_T ** 2
- 8.17083e-3 * sca_T ** 3
)
- 4.88682e-7 * salinity_SP ** 2
)
Vm = 0.317 # molar volume of O2 in m3 mol-1 Pa dbar-1 (Enns et al. 1965)
R = 8.314 # universal gas constant in J mol-1 K-1
pressure_atm = 1013.25
O2conc_umol = (
oxygen_percent
/ 100
* (TCorr * Scorr)
* (pressure_atm - pH2Osat)
/ (1013.25 - pH2Osat)
/ numpy.exp(Vm * pressure_dbar / (R * (temperature_C + 273.15)))
)
# Convert back to mL/L
O2conc_ml = O2conc_umol / 44.6596
# Round to 4 decimal places
O2conc_ml_rounded = numpy.round(O2conc_ml, 4)
return O2conc_ml_rounded
# # function from en.wikipedia.org/wiki/Oxygenation_(environmental)
# kelvin_offset = 273.15
# temperature_K = [t + kelvin_offset for t in temperature_C]
# A1 = -173.4292
# A2 = 249.6339
# A3 = 143.3483
# A4 = -21.8492
# B1 = -0.033096
# B2 = 0.014259
# B3 = -0.001700
# return numpy.fromiter(
# (
# (o / 100)
# * math.exp(
# A1
# + (A2 * 100 / t)
# + (A3 * math.log(t / 100))
# + (A4 * t / 100)
# + (s * (B1 + (B2 * t / 100) + (B3 * ((t / 100) ** 2))))
# )
# for o, t, s in zip(oxygen_percent, temperature_K, salinity_SP)
# ),
# float,
# count=len(oxygen_percent),
# )
else:
logging.warning(
f"Not enough data from {filename} to convert oxygen from % to mL/L. Ignoring file"
)
return None
def convert_salinity(salinity, units, filename):
"""Converts salinity into PSU
Arguments
salinity - raw salinity data
units - unit of measure for the salinity data
filename - the name of the file the data came from (only used for logs if something goes wrong)
Returns (oxygen in PSU, whether a computation was needed)
"""
if salinity is None:
return None, False
elif units.lower() in ["psu", "pss-78"]:
return salinity, False
elif units.lower() in ["ppt"] or units.lower().startswith("'ppt"):
return gsw.SP_from_SK(salinity), True
elif units.lower() in ["umol/kg"]:
g_per_umol = 58.44 / 1000 / 1000
return gsw.SP_from_SR(salinity * g_per_umol), True
else:
warn_wrong_units("PSU", units, filename)
return None, False
def convert_oxygen(
oxygen,
units,
longitude,
latitude,
temperature_C,
salinity_SP,
pressure_dbar,
filename,
):
"""Converts oxygen concentration into mL/L
Arguments
oxygen - raw oxygen data
units - unit of measure for the oxygen data
longitude - the longitude where the oxygen data was measured
latitude - the latitude where the oxygen data was measured
temperature_C - the temperature (in Celcius) associated with the oxygen data
salinity_SP - the salinity (in PSU) associated with the oxygen data
pressure_dbar - the pressure (in dbar) associated with the oxygen data
filename - the name of the file the data came from (only used for logs if something goes wrong)
Returns (oxygen in mL/L, whether a computation was needed, whether density was assumed)
"""
if oxygen is None:
return None, False, False
elif units.lower() in ["ml/l"]:
return oxygen, False, False
# V this is V this when parsed with ObsFile.py
elif units.lower() in ["umol/kg", "mmol/m", "mmol/m**3"]:
data, assumed_density = convert_umol_kg_to_mL_L(
oxygen,
longitude,
latitude,
temperature_C,
salinity_SP,
pressure_dbar,
filename=filename,
)
return data, True, assumed_density
elif units.lower() in ["mg/l"]:
oxygen_mg_per_mL = 1.429
data = oxygen / oxygen_mg_per_mL
return data, True, False
elif units in ["%"]:
data = convert_percent_to_mL_L(
oxygen, temperature_C, salinity_SP, filename=filename
)
return data, False, False
else:
warn_wrong_units("mL/L", units, filename)
return None, False, False