from .variable import Variable
[docs]
def generate_variables(interval_h, interval_p):
g_temperature = Variable(
long_name='Gridded Temperature',
short_name='g_temperature',
observation_type='calculated',
source='temperature from sci_water_temp',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_temperature',
units='Celsius',
valid_max=40.0,
valid_min=-5.0
)
g_salinity = Variable(
long_name='Gridded Salinity',
short_name='g_salinity',
observation_type='calculated',
source='salinity from sci_water_sal',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_practical_salinity',
units='1',
valid_max=40.0,
valid_min=0.0
)
g_conductivity = Variable(
long_name='Gridded Conductivity',
short_name='g_conductivity',
observation_type='calculated',
source='conductivity from sci_water_cond',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_electrical_conductivity',
units='S m-1',
valid_max=10.0,
valid_min=0.0
)
g_density = Variable(
long_name='Gridded Density',
short_name='g_density',
observation_type='calculated',
source='density from sci_water_dens',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_density',
units='kg m-3',
valid_max=1040.0,
valid_min=1015.0
)
g_turbidity = Variable(
long_name='Gridded Turbidity',
short_name='g_turbidity',
observation_type='calculated',
source='turbidity from sci_flbbcd_bb_units',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_turbidity',
units='1',
valid_max=1.0,
valid_min=0.0
)
g_cdom = Variable(
long_name='Gridded CDOM',
short_name='g_cdom',
observation_type='calculated',
source='cdom from sci_flbbcd_cdom_units',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='concentration_of_colored_dissolved_organic_matter_in_sea_water',
units='ppb',
valid_max=50.0,
valid_min=0.0
)
g_chlorophyll = Variable(
long_name='Gridded Chlorophyll_a',
short_name='g_chlorophyll',
observation_type='calculated',
source='chlorophyll from sci_flbbcd_chlor_units',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='mass_concentration_of_chlorophyll_a_in_sea_water',
units='\u03BCg/L',
valid_max=10.0,
valid_min=0.0
)
g_oxygen = Variable(
long_name='Gridded Oxygen',
short_name='g_oxygen',
observation_type='calculated',
source='oxygen from sci_oxy4_oxygen',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='moles_of_oxygen_per_unit_mass_in_sea_water',
units='\u03BCmol/kg',
valid_max=500.0,
valid_min=0.0
)
g_hc = Variable(
long_name='Gridded Heat Content',
short_name='g_hc',
observation_type='calculated',
source='g_temp',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_heat_content_for_all_grids',
units='kJ/cm^2',
valid_max=10.0,
valid_min=0.0
)
g_phc = Variable(
long_name='Gridded Potential Heat Content',
short_name='g_phc',
observation_type='calculated',
source='g_temp',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_heat_content_for_grids_above_26_C',
units='kJ/cm^2',
valid_max=10.0,
valid_min=0.0
)
g_sp = Variable(
long_name='Gridded Spiciness',
short_name='g_sp',
observation_type='calculated',
source='g_temp',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='spiciness_from_absolute_salinity_and_conservative_temperature_at_0dbar',
units='kg/m^3',
valid_max=10.0,
valid_min=0.0
)
g_depth = Variable(
long_name='Gridded Depth',
short_name='g_depth',
observation_type='calculated',
source='g_pres',
resolution=str(interval_h)+'hour and '+str(interval_p)+'dbar',
standard_name='sea_water_depth',
units='m',
valid_max=1000.0,
valid_min=0.0
)
# Create a list of variables that we initilized above
variables = [g_temperature, g_salinity, g_conductivity, g_density, g_turbidity,
g_cdom, g_chlorophyll, g_oxygen, g_hc, g_phc, g_sp, g_depth]
# Create a dictionary of variables that we initilized above
attrs_dict = {value.short_name:value for value in variables}
return attrs_dict