pycontrails.models.accf.ACCFParams#

class pycontrails.models.accf.ACCFParams(copy_source=True, interpolation_method='linear', interpolation_bounds_error=False, interpolation_fill_value=nan, interpolation_localize=False, interpolation_use_indices=False, interpolation_q_method=None, verify_met=True, downselect_met=True, met_longitude_buffer=(0.0, 0.0), met_latitude_buffer=(0.0, 0.0), met_level_buffer=(0.0, 0.0), met_time_buffer=(numpy.timedelta64(0, 'h'), numpy.timedelta64(0, 'h')), lat_bound=None, lon_bound=None, efficacy=True, efficacy_option='lee_2021', accf_v='V1.0', ch4_scaling=1.0, co2_scaling=1.0, cont_scaling=1.0, h2o_scaling=1.0, o3_scaling=1.0, forecast_step=6.0, sep_ri_rw=False, climate_indicator='ATR', horizontal_resolution=0.5, emission_scenario='pulse', time_horizon=20, pfca='PCFA-ISSR', merged=True, issr_rhi_threshold=0.9, issr_temp_threshold=235, sac_ei_h2o=1.25, sac_q=43000000.0, sac_eta=0.3, nox_ei='TTV', PMO=False)#

Bases: ModelParams

Default ACCF model parameters.

See config-user.yml definition at https://github.com/dlr-pa/climaccf

__init__(copy_source=True, interpolation_method='linear', interpolation_bounds_error=False, interpolation_fill_value=nan, interpolation_localize=False, interpolation_use_indices=False, interpolation_q_method=None, verify_met=True, downselect_met=True, met_longitude_buffer=(0.0, 0.0), met_latitude_buffer=(0.0, 0.0), met_level_buffer=(0.0, 0.0), met_time_buffer=(numpy.timedelta64(0, 'h'), numpy.timedelta64(0, 'h')), lat_bound=None, lon_bound=None, efficacy=True, efficacy_option='lee_2021', accf_v='V1.0', ch4_scaling=1.0, co2_scaling=1.0, cont_scaling=1.0, h2o_scaling=1.0, o3_scaling=1.0, forecast_step=6.0, sep_ri_rw=False, climate_indicator='ATR', horizontal_resolution=0.5, emission_scenario='pulse', time_horizon=20, pfca='PCFA-ISSR', merged=True, issr_rhi_threshold=0.9, issr_temp_threshold=235, sac_ei_h2o=1.25, sac_q=43000000.0, sac_eta=0.3, nox_ei='TTV', PMO=False)#

Methods

`__init__`([copy_source, ...])
`as_dict`()	Convert object to dictionary.

Attributes

`PMO`
`accf_v`
`ch4_scaling`
`climate_indicator`
`co2_scaling`
`cont_scaling`
`copy_source`	Copy input `source` data on eval
`downselect_met`	Downselect input MetDataset` to region around `source`.
`efficacy`
`efficacy_option`
`emission_scenario`
`forecast_step`
`h2o_scaling`
`horizontal_resolution`
`interpolation_bounds_error`	If True, points lying outside interpolation will raise an error
`interpolation_fill_value`	Used for outside interpolation value if `interpolation_bounds_error` is False
`interpolation_localize`	Experimental.
`interpolation_method`	Interpolation method.
`interpolation_q_method`	Experimental.
`interpolation_use_indices`	Experimental.
`issr_rhi_threshold`	RHI Threshold
`issr_temp_threshold`
`lat_bound`
`lon_bound`
`merged`
`met_latitude_buffer`	Met latitude buffer for input to `Flight.downselect_met()`, in WGS84 coordinates.
`met_level_buffer`	Met level buffer for input to `Flight.downselect_met()`, in [\(hPa\)].
`met_longitude_buffer`	Met longitude buffer for input to `Flight.downselect_met()`, in WGS84 coordinates.
`met_time_buffer`	Met time buffer for input to `Flight.downselect_met()` Only applies when `downselect_met` is True.
`nox_ei`
`o3_scaling`
`pfca`
`sac_ei_h2o`
`sac_eta`
`sac_q`
`sep_ri_rw`
`time_horizon`
`verify_met`	Call `_verify_met()` on model instantiation.

PMO = False#

accf_v = 'V1.0'#

ch4_scaling = 1.0#

climate_indicator = 'ATR'#

co2_scaling = 1.0#

cont_scaling = 1.0#

efficacy = True#

efficacy_option = 'lee_2021'#

emission_scenario = 'pulse'#

forecast_step = 6.0#

h2o_scaling = 1.0#

horizontal_resolution = 0.5#

issr_rhi_threshold = 0.9#: RHI Threshold

issr_temp_threshold = 235#

lat_bound = None#

lon_bound = None#

merged = True#

nox_ei = 'TTV'#

o3_scaling = 1.0#

pfca = 'PCFA-ISSR'#

sac_ei_h2o = 1.25#

sac_eta = 0.3#

sac_q = 43000000.0#

sep_ri_rw = False#

time_horizon = 20#